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新抗原预测 - 版本历史
2026-04-18T22:40:19Z
本wiki的该页面的版本历史
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2025年12月25日 (四) 01:17 77921020
2025-12-25T01:17:06Z
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<table class="diff diff-contentalign-left diff-editfont-monospace" data-mw="interface">
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">←上一版本</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">2025年12月25日 (四) 01:17的版本</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1" >第1行：</td>
<td colspan="2" class="diff-lineno">第1行：</td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><div class="medical-infobox" style="float: <del class="diffchange diffchange-inline">left</del>; width: 310px; margin: 0 25px <del class="diffchange diffchange-inline">20px 0</del>; font-size: 0.88em; border: 1px solid #e2e8f0; border-radius: 12px; box-shadow: 0 4px 10px rgba(0, 0, 0, 0.05); background-color: #ffffff; overflow: hidden; line-height: 1.5;"></div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><div class="medical-infobox" style="float: <ins class="diffchange diffchange-inline">right</ins>; width: 310px; margin: <ins class="diffchange diffchange-inline">0 </ins>0 25px <ins class="diffchange diffchange-inline">25px</ins>; font-size: 0.88em; border: 1px solid #e2e8f0; border-radius: 12px; box-shadow: 0 4px 10px rgba(0, 0, 0, 0.05); background-color: #ffffff; overflow: hidden; line-height: 1.5;"></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>{| style="width: 100%; border-spacing: 0;"</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>{| style="width: 100%; border-spacing: 0;"</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|+ style="font-size: 1.3em; font-weight: bold; padding: 16px; color: #1e293b; background-color: #f8fafc; border-bottom: 1px solid #e2e8f0;" | 新抗原预测 <br><span style="font-size: 0.8em; font-weight: normal; color: #64748b;">Neoantigen Prediction</span></div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|+ style="font-size: 1.3em; font-weight: bold; padding: 16px; color: #1e293b; background-color: #f8fafc; border-bottom: 1px solid #e2e8f0<ins class="diffchange diffchange-inline">; text-align: center</ins>;" | 新抗原预测 <br><span style="font-size: 0.8em; font-weight: normal; color: #64748b;">Neoantigen Prediction</span></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>| colspan="2" |</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>| colspan="2" |</div></td></tr>
<tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l11" >第11行：</td>
<td colspan="2" class="diff-lineno">第11行：</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></div></div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></div></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>! style="text-align: left; padding: 12px 15px; border-bottom: 1px solid #f1f5f9; color: #64748b; font-weight: 500;" | 英文全称</div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>! style="text-align: left; padding: 12px 15px; border-bottom: 1px solid #f1f5f9; color: #64748b; font-weight: 500<ins class="diffchange diffchange-inline">; width: 35%</ins>;" | 英文全称</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>| style="padding: 12px 15px; border-bottom: 1px solid #f1f5f9<del class="diffchange diffchange-inline">; text-align: right</del>; color: #334155; font-weight: 600;" | Neoantigen In Silico Prediction</div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>| style="<ins class="diffchange diffchange-inline">text-align: left; </ins>padding: 12px 15px; border-bottom: 1px solid #f1f5f9; color: #334155; font-weight: 600;" | Neoantigen In Silico Prediction</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>! style="text-align: left; padding: 12px 15px; border-bottom: 1px solid #f1f5f9; color: #64748b; font-weight: 500;" | 核心输入</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>! style="text-align: left; padding: 12px 15px; border-bottom: 1px solid #f1f5f9; color: #64748b; font-weight: 500;" | 核心输入</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>| style="padding: 12px 15px; border-bottom: 1px solid #f1f5f9<del class="diffchange diffchange-inline">; text-align: right</del>; color: #334155;" | WES + RNA-seq</div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>| style="<ins class="diffchange diffchange-inline">text-align: left; </ins>padding: 12px 15px; border-bottom: 1px solid #f1f5f9; color: #334155;" | WES + RNA-seq</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>! style="text-align: left; padding: 12px 15px; border-bottom: 1px solid #f1f5f9; color: #64748b; font-weight: 500;" | 关键参数</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>! style="text-align: left; padding: 12px 15px; border-bottom: 1px solid #f1f5f9; color: #64748b; font-weight: 500;" | 关键参数</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>| style="padding: 12px 15px; border-bottom: 1px solid #f1f5f9<del class="diffchange diffchange-inline">; text-align: right</del>; color: #334155;" | $IC_{50}$、结合稳定性</div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>| style="<ins class="diffchange diffchange-inline">text-align: left; </ins>padding: 12px 15px; border-bottom: 1px solid #f1f5f9; color: #334155;" | $IC_{50}$、结合稳定性</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>! style="text-align: left; padding: 12px 15px; border-bottom: 1px solid #f1f5f9; color: #64748b; font-weight: 500;" | 算法核心</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>! style="text-align: left; padding: 12px 15px; border-bottom: 1px solid #f1f5f9; color: #64748b; font-weight: 500;" | 算法核心</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>| style="padding: 12px 15px; border-bottom: 1px solid #f1f5f9<del class="diffchange diffchange-inline">; text-align: right</del>; color: #334155;" | 深度学习 (CNN/RNN/Transformer)</div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>| style="<ins class="diffchange diffchange-inline">text-align: left; </ins>padding: 12px 15px; border-bottom: 1px solid #f1f5f9; color: #334155;" | 深度学习 (CNN/RNN/Transformer)</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>! style="text-align: left; padding: 12px 15px; color: #64748b; font-weight: 500;" | 临床目标</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>! style="text-align: left; padding: 12px 15px; color: #64748b; font-weight: 500;" | 临床目标</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>| style="padding: 12px 15px<del class="diffchange diffchange-inline">; text-align: right</del>; color: #334155;" | 个体化肿瘤疫苗、[[TCR-T]] 筛选</div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>| style="<ins class="diffchange diffchange-inline">text-align: left; </ins>padding: 12px 15px; color: #334155;" | 个体化肿瘤疫苗、[[TCR-T]] 筛选</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|}</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|}</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></div></div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></div></div></td></tr>
</table>
77921020
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2025年12月25日 (四) 01:13 77921020
2025-12-25T01:13:47Z
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<a href="https://www.yiliao.com/index.php?title=%E6%96%B0%E6%8A%97%E5%8E%9F%E9%A2%84%E6%B5%8B&diff=310773&oldid=310756">显示更改</a>
77921020
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2025年12月25日 (四) 00:39 77921020
2025-12-25T00:39:14Z
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<table class="diff diff-contentalign-left diff-editfont-monospace" data-mw="interface">
<col class="diff-marker" />
<col class="diff-content" />
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">←上一版本</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">2025年12月25日 (四) 00:39的版本</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l5" >第5行：</td>
<td colspan="2" class="diff-lineno">第5行：</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>| colspan="2" | </div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>| colspan="2" | </div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><div class="infobox-image-wrapper" style="padding: 25px; background-color: #f8fafc; border: 1px solid #f1f5f9; border-radius: 12px; text-align: center;"></div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><div class="infobox-image-wrapper" style="padding: 25px; background-color: #f8fafc; border: 1px solid #f1f5f9; border-radius: 12px; text-align: center;"></div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del class="diffchange diffchange-inline">[Image of the neoantigen prediction pipeline from sequencing to vaccine design]</del></div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><div style="font-size: 0.85em; color: #94a3b8; margin-top: 10px; font-weight: normal;">新抗原预测全流程：从肿瘤测序到免疫原性评估</div></div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><div style="font-size: 0.85em; color: #94a3b8; margin-top: 10px; font-weight: normal;">新抗原预测全流程：从肿瘤测序到免疫原性评估</div></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></div></div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></div></div></td></tr>
<tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l28" >第28行：</td>
<td colspan="2" class="diff-lineno">第28行：</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>'''新抗原预测'''（Neoantigen Prediction）是指利用生物信息学算法和深度学习模型，从肿瘤患者的基因组测序数据中识别并筛选出具有免疫原性的突变肽段的过程。这些肽段由肿瘤特异性突变产生，能与患者自身的 HLA 分子结合并展示在细胞表面，从而被 T 细胞受体（[[TCR]]）识别。</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>'''新抗原预测'''（Neoantigen Prediction）是指利用生物信息学算法和深度学习模型，从肿瘤患者的基因组测序数据中识别并筛选出具有免疫原性的突变肽段的过程。这些肽段由肿瘤特异性突变产生，能与患者自身的 HLA 分子结合并展示在细胞表面，从而被 T 细胞受体（[[TCR]]）识别。</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del class="diffchange diffchange-inline">[Image of HLA-peptide binding affinity prediction algorithms]</del></div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>在 2025 年的精准免疫治疗中，由于肿瘤突变产生的潜在肽段数量庞大，但其中仅有不足 1% 能真正诱导免疫应答，因此预测的准确性直接决定了 **[[TIL疗法]]** 的成功率和个体化疫苗的效力。</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>在 2025 年的精准免疫治疗中，由于肿瘤突变产生的潜在肽段数量庞大，但其中仅有不足 1% 能真正诱导免疫应答，因此预测的准确性直接决定了 **[[TIL疗法]]** 的成功率和个体化疫苗的效力。</div></td></tr>
<tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l40" >第40行：</td>
<td colspan="2" class="diff-lineno">第40行：</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div># **免疫原性评分**：评估 $TCR$ 对 pMHC 复合体的识别潜能及自耐受风险。</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div># **免疫原性评分**：评估 $TCR$ 对 pMHC 复合体的识别潜能及自耐受风险。</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del class="diffchange diffchange-inline">[Image of the structural interaction between neoantigen peptide and HLA binding pocket]</del></div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== 预测维度与技术评估 (2025 修订版) ==</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== 预测维度与技术评估 (2025 修订版) ==</div></td></tr>
<tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l69" >第69行：</td>
<td colspan="2" class="diff-lineno">第69行：</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></div></div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></div></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>==</div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>== <ins class="diffchange diffchange-inline">参考文献 (经真实性校验) ==</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">* [1] Schumacher TN, Schreiber RD. Neoantigens in cancer immunotherapy. Science. 2015;348(6230):69-74. (新抗原预测与识别的基础理论)</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">* [2] Ott PA, et al. An immunogenic personal neoantigen vaccine for patients with melanoma. Nature. 2017;547(7662):217-221. (个体化新抗原预测的临床成功范例)</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">* [3] Yadav M, et al. Predicting immunogenic tumour mutations by combining mass spectrometry and exome sequencing. Nature. 2014;515(7528):572-576. (质谱技术对预测算法的验证)</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">* [4] Bulik-Sullivan B, et al. Deep learning using tumor HLA peptide mass spectrometry data improves neoantigen identification. Nature Biotechnology. 2018. (深度学习在预测中的应用)</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">* [5] NCCN Guidelines Version 1.2025: Biomarker Testing for Cancer Immunotherapy.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">{{reflist}}</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline"><div style="clear: both; margin-top: 40px; border: 1px solid #a2a9b1; background-color: #f8f9fa; border-radius: 4px; overflow: hidden; font-size: 0.85em;"></ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline"><div style="background-color: #dee2e6; text-align: center; font-weight: bold; padding: 6px; border-bottom: 1px solid #a2a9b1; color: #374151;">肿瘤精准预测与免疫组学技术导航</div></ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">{| style="width: 100%; background: transparent; border-spacing: 0;"</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">|-</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">! style="width: 15%; padding: 8px; background-color: #f1f5f9; text-align: right; border-bottom: 1px solid #fff;" | 预测输入</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">| style="padding: 8px; border-bottom: 1px solid #fff;" | [[WES测序]] • [[RNA-seq]] • [[HLA分型]] • [[TMB评估]] • [[单细胞基因组]]</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">|-</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">! style="text-align: left; width: 15%; padding: 8px; background-color: #f1f5f9; text-align: right; border-bottom: 1px solid #fff;" | 算法模型</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">| style="padding: 8px; border-bottom: 1px solid #fff;" | [[NetMHCpan]] • [[深度学习算法]] • [[MHC亲和力预测]] • [[免疫原性建模]]</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">|-</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">! style="text-align: left; width: 15%; padding: 8px; background-color: #f1f5f9; text-align: right;" | 临床转化</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">| style="padding: 8px;" | [[个体化肿瘤疫苗]] • [[TCR-T筛选]] • [[TIL扩增引导]] • [[联合用药决策]]</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">|}</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline"></div></ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">[[Category:生物信息学]] [[Category:肿瘤学]] [[Category:免疫学]] [[Category:精准医疗]]</ins></div></td></tr>
</table>
77921020
https://www.yiliao.com/index.php?title=%E6%96%B0%E6%8A%97%E5%8E%9F%E9%A2%84%E6%B5%8B&diff=310755&oldid=prev
77921020：建立内容为“<div class="medical-infobox" style="font-size: 0.85em;"> {| style="width: 100%; background: none; border-spacing: 0;" |+ style="font-size: 1.35em; font-weight: bo…”的新页面
2025-12-25T00:38:31Z
<p>建立内容为“<div class="medical-infobox" style="font-size: 0.85em;"> {| style="width: 100%; background: none; border-spacing: 0;" |+ style="font-size: 1.35em; font-weight: bo…”的新页面</p>
<p><b>新页面</b></p><div><div class="medical-infobox" style="font-size: 0.85em;"><br />
{| style="width: 100%; background: none; border-spacing: 0;"<br />
|+ style="font-size: 1.35em; font-weight: bold; margin-bottom: 10px; color: #1a202c;" | 新抗原预测 (Neoantigen Prediction)<br />
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| colspan="2" | <br />
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[Image of the neoantigen prediction pipeline from sequencing to vaccine design]<br />
<div style="font-size: 0.85em; color: #94a3b8; margin-top: 10px; font-weight: normal;">新抗原预测全流程：从肿瘤测序到免疫原性评估</div><br />
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! style="text-align: left; padding: 6px 0; border-bottom: 1px solid #f1f5f9; color: #64748b; font-weight: normal;" | 全称<br />
| style="padding: 6px 0; border-bottom: 1px solid #f1f5f9; font-weight: 600; text-align: right;" | Neoantigen In Silico Prediction<br />
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! style="text-align: left; padding: 6px 0; border-bottom: 1px solid #f1f5f9; color: #64748b; font-weight: normal;" | 核心输入<br />
| style="padding: 6px 0; border-bottom: 1px solid #f1f5f9; text-align: right;" | WES (全外显子) + RNA-seq<br />
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! style="text-align: left; padding: 6px 0; border-bottom: 1px solid #f1f5f9; color: #64748b; font-weight: normal;" | 关键参数<br />
| style="padding: 6px 0; border-bottom: 1px solid #f1f5f9; text-align: right;" | 结合亲和力 ($IC_{50}$), 呈递稳定性<br />
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! style="text-align: left; padding: 6px 0; border-bottom: 1px solid #f1f5f9; color: #64748b; font-weight: normal;" | 算法核心<br />
| style="padding: 6px 0; border-bottom: 1px solid #f1f5f9; text-align: right;" | 深度学习 (CNN/RNN), 神经网络<br />
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! style="text-align: left; padding: 6px 0; color: #64748b; font-weight: normal;" | 临床目标<br />
| style="padding: 6px 0; text-align: right;" | 个体化肿瘤疫苗、TCR 筛选<br />
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'''新抗原预测'''（Neoantigen Prediction）是指利用生物信息学算法和深度学习模型，从肿瘤患者的基因组测序数据中识别并筛选出具有免疫原性的突变肽段的过程。这些肽段由肿瘤特异性突变产生，能与患者自身的 HLA 分子结合并展示在细胞表面，从而被 T 细胞受体（[[TCR]]）识别。<br />
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[Image of HLA-peptide binding affinity prediction algorithms]<br />
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在 2025 年的精准免疫治疗中，由于肿瘤突变产生的潜在肽段数量庞大，但其中仅有不足 1% 能真正诱导免疫应答，因此预测的准确性直接决定了 **[[TIL疗法]]** 的成功率和个体化疫苗的效力。<br />
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== 预测流水线与核心算法 ==<br />
一个标准的新抗原预测流程通常包含以下五个关键步骤：<br />
# **突变检测**：对比肿瘤与正常组织的 WES 数据，识别单核苷酸变异（SNV）及移码突变（Indel）。<br />
# **HLA 分型**：基于测序数据推断患者的 **[[HLA分型]]** 基因。<br />
# **肽段-MHC 结合预测**：利用如 **NetMHCpan** 等工具预测肽段与 MHC 结合的亲和力（通常以 $IC_{50} < 500\,nM$ 为初筛标准）。<br />
# **表达量验证**：利用 RNA-seq 数据验证该突变基因是否在肿瘤中真实转录。<br />
# **免疫原性评分**：评估 $TCR$ 对 pMHC 复合体的识别潜能及自耐受风险。<br />
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[Image of the structural interaction between neoantigen peptide and HLA binding pocket]<br />
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== 预测维度与技术评估 (2025 修订版) ==<br />
<div style="overflow-x: auto; width: 90%; margin: 25px auto;"><br />
{| class="wikitable" style="width: 100%; border-collapse: collapse; border: none; box-shadow: 0 4px 15px rgba(0,0,0,0.08); font-size: 0.95em; background-color: #fff;"<br />
|+ style="font-weight: bold; font-size: 1.1em; margin-bottom: 12px; color: #2c3e50; text-align: center;" | 新抗原预测核心指标与算法性能评估<br />
|- style="background-color: #eaeff5; color: #2c3e50; border-bottom: 2px solid #dce4ec;"<br />
! style="text-align: left; padding: 12px 15px; width: 22%;" | 评估指标<br />
! style="text-align: left; padding: 12px 15px;" | 临床表现与算法特征<br />
|- style="border-bottom: 1px solid #f1f5f9;"<br />
| style="text-align: left; padding: 12px 15px; font-weight: 600; color: #546e7a; background-color: #fcfdfe;" | **结合亲和力 (Binding)**<br />
| style="text-align: left; padding: 12px 15px; color: #374151; line-height: 1.6;" | 预测肽段锚定在 MHC 结合槽的能力。目前 **NetMHCpan 4.1** 是国际公认的基准，通过集成质谱（Mass Spec）数据显著降低了假阳性率。<br />
|- style="border-bottom: 1px solid #f1f5f9;"<br />
| style="text-align: left; padding: 12px 15px; font-weight: 600; color: #546e7a; background-color: #fcfdfe;" | **呈递丰度 (MAPPs)**<br />
| style="text-align: left; padding: 12px 15px; color: #374151; line-height: 1.6;" | 评估突变肽段在细胞表面的实际展示密度。新一代算法开始整合 **[[新抗原呈递]]** 中的抗原加工动力学参数，以提高预测的真实性。<br />
|- style="border-bottom: 1px solid #f1f5f9;"<br />
| style="text-align: left; padding: 12px 15px; font-weight: 600; color: #546e7a; background-color: #fcfdfe;" | **克隆性分析 (Clonality)**<br />
| style="text-align: left; padding: 12px 15px; color: #374151; line-height: 1.6;" | 区分“主干突变”与“分支突变”。预测策略倾向于优先选择主干新抗原，以防止由于肿瘤异质性导致的 **[[免疫逃逸]]**。<br />
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<div style="text-align: center; margin: 30px 0; padding: 15px; background: #fdfdfd; border-top: 1px solid #eee; border-bottom: 1px solid #eee;"><br />
<span style="font-family: 'Times New Roman', serif; font-size: 1.1em; font-weight: bold; color: #2563eb;">全外显子组突变呼叫 (WES)</span><br />
<span style="margin: 0 15px; color: #94a3b8; font-size: 1.4em;">→</span><br />
<span style="font-family: 'Times New Roman', serif; font-size: 1.1em; color: #d93025; font-weight: bold;">HLA 亲和力与表达量过滤</span><br />
<span style="margin: 0 15px; color: #94a3b8; font-size: 1.4em;">→</span><br />
<span style="font-family: 'Times New Roman', serif; font-size: 1.2em; font-weight: bold; color: #059669;">真新抗原 (True Neoantigen) 鉴定</span><br />
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