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第三十六章 破解蛋白质结构之迷 - 版本历史
2026-04-07T12:50:33Z
本wiki的该页面的版本历史
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2023年8月13日 (日) 02:27 Cslt
2023-08-13T02:27:13Z
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<td colspan='2' style="background-color: white; color:black; text-align: center;">2023年8月13日 (日) 02:27的版本</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; 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>* DeepMind AlphaFold2 [https://github.com/deepmind/alphafold]</div></td><td class='diff-marker'>+</td><td style="color:black; 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>* DeepMind AlphaFold2 <ins class="diffchange diffchange-inline">[*]</ins>[https://github.com/deepmind/alphafold]</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; 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>* Pytorch AlphaFold2 [https://github.com/lucidrains/alphafold2]</div></td><td class='diff-marker'>+</td><td style="color:black; 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>* Pytorch AlphaFold2 <ins class="diffchange diffchange-inline">[*]</ins>[https://github.com/lucidrains/alphafold2]</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; 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>* AlphaFold on Google Colab [https://github.com/sokrypton/ColabFold]</div></td><td class='diff-marker'>+</td><td style="color:black; 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>* AlphaFold on Google Colab <ins class="diffchange diffchange-inline">[*]</ins>[https://github.com/sokrypton/ColabFold]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==高级读者==</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==高级读者==</div></td></tr>
</table>
Cslt
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2022年8月20日 (六) 11:14 Cslt
2022-08-20T11:14:12Z
<p></p>
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</tr><tr><td colspan="2" class="diff-lineno">第36行：</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==演示链接==</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==演示链接==</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; 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 style="font-weight: bold; text-decoration: none;">* AlphaFold database [https://alphafold.ebi.ac.uk/]</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==开发者资源==</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==开发者资源==</div></td></tr>
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* DeepMind AlphaFold2 [https://github.com/deepmind/alphafold]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* DeepMind AlphaFold2 [https://github.com/deepmind/alphafold]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Pytorch AlphaFold2 [https://github.com/lucidrains/alphafold2]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* Pytorch AlphaFold2 [https://github.com/lucidrains/alphafold2]</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; 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 style="font-weight: bold; text-decoration: none;">* AlphaFold on Google Colab [https://github.com/sokrypton/ColabFold]</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==高级读者==</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==高级读者==</div></td></tr>
</table>
Cslt
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2022年8月20日 (六) 11:11 Cslt
2022-08-20T11:11:18Z
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<td colspan='2' style="background-color: white; color:black; text-align: center;">2022年8月20日 (六) 11:11的版本</td>
</tr><tr><td colspan="2" class="diff-lineno">第39行：</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==开发者资源==</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==开发者资源==</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; 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 style="font-weight: bold; text-decoration: none;">* DeepMind AlphaFold2 [https://github.com/deepmind/alphafold]</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; 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 style="font-weight: bold; text-decoration: none;">* Pytorch AlphaFold2 [https://github.com/lucidrains/alphafold2]</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==高级读者==</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==高级读者==</div></td></tr>
</table>
Cslt
http://www.cslt.org/mediawiki/index.php?title=%E7%AC%AC%E4%B8%89%E5%8D%81%E5%85%AD%E7%AB%A0_%E7%A0%B4%E8%A7%A3%E8%9B%8B%E7%99%BD%E8%B4%A8%E7%BB%93%E6%9E%84%E4%B9%8B%E8%BF%B7&diff=39140&oldid=prev
Cslt：以“==教学资料== * 教学参考 * [http://aigraph.cslt.org/courses/36/course-36.pptx 课件] * 小清爱提问：AI如何破解蛋白质结构...”为内容创建页面
2022-08-20T10:14:20Z
<p>以“==教学资料== * <a href="/mediawiki/index.php/%E6%95%99%E5%AD%A6%E5%8F%82%E8%80%83-36" title="教学参考-36">教学参考</a> * [http://aigraph.cslt.org/courses/36/course-36.pptx 课件] * 小清爱提问：AI如何破解蛋白质结构...”为内容创建页面</p>
<p><b>新页面</b></p><div>==教学资料==<br />
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* [[教学参考-36|教学参考]]<br />
* [http://aigraph.cslt.org/courses/36/course-36.pptx 课件]<br />
* 小清爱提问：AI如何破解蛋白质结构之迷？ [https://mp.weixin.qq.com/s?__biz=Mzk0NjIzMzI2MQ==&mid=2247486673&idx=1&sn=6f7def568a1b9cfa8c07c2df96b810e4&chksm=c3080613f47f8f052bedf5454b90ccc77b98eca536be8e8c5c8231cfa2ac5fcbaea5437437cb&scene=178#rd]<br />
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==扩展阅读==<br />
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* 百度百科：氨基酸[https://baike.baidu.com/item/%E6%B0%A8%E5%9F%BA%E9%85%B8/303574] 蛋白质 [https://baike.baidu.com/item/%E8%9B%8B%E7%99%BD%E8%B4%A8/309120]<br />
* 维基百科：氨基酸[http://aigraph.cslt.org/courses/36/Amino_acid.pdf][http://aigraph.cslt.org/courses/36/氨基酸.pdf]<br />
* 维基百科：蛋白质[http://aigraph.cslt.org/courses/36/Protein.pdf][http://aigraph.cslt.org/courses/36/蛋白质.pdf]<br />
* 免疫球蛋白(immunoglobulin) 對人體的重要 [http://wikibionome.com/%E5%85%8D%E7%96%AB%E7%90%83%E8%9B%8B%E7%99%BDimmunoglobulin-%E5%B0%8D%E4%BA%BA%E9%AB%94%E7%9A%84%E9%87%8D%E8%A6%81/]<br />
* 鸡蛋煮熟后，蛋清变得又白又硬？ [https://www.163.com/dy/article/E71ISSRA05323H3L.html]<br />
* 你对胜肽知多少 [https://zhuanlan.zhihu.com/p/291236405]<br />
* 维基百科：蛋白质折叠[http://aigraph.cslt.org/courses/36/蛋白质折叠.pdf]<br />
* 蛋白质的分子结构[http://aigraph.cslt.org/courses/36/蛋白质的分子结构.pdf]<br />
* 北京日报：困扰科学家近半个世纪的蛋白质折叠难题破了！ [https://wap.bjd.com.cn/news/tech/2021/01/05/40627t271.html]<br />
* 人类生物学的大突破，就这样被 AI 做到了 [https://www.toutiao.com/article/6999533386004120075/?traffic_source=&in_ogs=&utm_source=&source=search_tab&utm_medium=wap_search&original_source=&in_tfs=&channel=&enter_keyword=%E4%BA%BA%E7%B1%BB%E7%94%9F%E7%89%A9%E5%AD%A6&source=m_redirect]<br />
* 《自然》：AlphaFold和AI蛋白质折叠革命终局如何 [https://j.021east.com/p/1649990690030438]<br />
* Deepmind blog: Alphafold [https://www.deepmind.com/research/highlighted-research/alphafold][https://www.deepmind.com/blog/alphafold-a-solution-to-a-50-year-old-grand-challenge-in-biology]<br />
* Deepmind blog: AlphaFold reveals the structure of the protein universe [https://www.deepmind.com/blog/alphafold-reveals-the-structure-of-the-protein-universe]<br />
* 照亮整个蛋白质宇宙：DeepMind“顺手”放的大招，要一举攻克渐冻人症 [http://finance.sina.com.cn/tech/csj/2022-08-02/doc-imizmscv4476750.shtml]<br />
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==视频展示==<br />
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* 蛋白质是什么？ [http://aigraph.cslt.org/courses/36/蛋白质是什么.mp4]<br />
* Deepmind: AlphaFold [http://aigraph.cslt.org/courses/36/AlphaFold_deepmind.mp4]<br />
* Deepmind: Protein folding explained [http://aigraph.cslt.org/courses/36/Protein_folding_explained.mp4]<br />
* Science: The protein folding revolution [http://aigraph.cslt.org/courses/36/revolution.mp4]<br />
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==演示链接==<br />
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==开发者资源==<br />
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==高级读者==<br />
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* Jumper J, Evans R, Pritzel A, et al. Highly accurate protein structure prediction with AlphaFold[J]. Nature, 2021, 596(7873): 583-589. [https://www.nature.com/articles/s41586-021-03819-2]<br />
* Callaway E. What's next for AlphaFold and the AI protein-folding revolution[J]. Nature, 2022, 604(7905): 234-238. [https://www.nature.com/articles/d41586-022-00997-5]<br />
* DeepMind’s AI for protein structure is coming to the masses [https://www.nature.com/articles/d41586-021-01968-y#ref-CR1]<br />
* Nature:‘The entire protein universe’: AI predicts shape of nearly every known protein [https://www.nature.com/articles/d41586-022-02083-2]</div>
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