“第三十六章 破解蛋白质结构之迷”版本间的差异
来自cslt Wiki
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==开发者资源== | ==开发者资源== | ||
− | * DeepMind AlphaFold2 [https://github.com/deepmind/alphafold] | + | * DeepMind AlphaFold2 [*][https://github.com/deepmind/alphafold] |
− | * Pytorch AlphaFold2 [https://github.com/lucidrains/alphafold2] | + | * Pytorch AlphaFold2 [*][https://github.com/lucidrains/alphafold2] |
− | * AlphaFold on Google Colab [https://github.com/sokrypton/ColabFold] | + | * AlphaFold on Google Colab [*][https://github.com/sokrypton/ColabFold] |
==高级读者== | ==高级读者== |
2023年8月13日 (日) 02:27的最后版本
教学资料
扩展阅读
- 百度百科:氨基酸[2] 蛋白质 [3]
- 维基百科:氨基酸[4][5]
- 维基百科:蛋白质[6][7]
- 免疫球蛋白(immunoglobulin) 對人體的重要 [8]
- 鸡蛋煮熟后,蛋清变得又白又硬? [9]
- 你对胜肽知多少 [10]
- 维基百科:蛋白质折叠[11]
- 蛋白质的分子结构[12]
- 北京日报:困扰科学家近半个世纪的蛋白质折叠难题破了! [13]
- 人类生物学的大突破,就这样被 AI 做到了 [14]
- 《自然》:AlphaFold和AI蛋白质折叠革命终局如何 [15]
- Deepmind blog: Alphafold [16][17]
- Deepmind blog: AlphaFold reveals the structure of the protein universe [18]
- 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 [19]
视频展示
- 蛋白质是什么? [20]
- Deepmind: AlphaFold [21]
- Deepmind: Protein folding explained [22]
- Science: The protein folding revolution [23]
演示链接
- AlphaFold database [24]
开发者资源
高级读者
- Jumper J, Evans R, Pritzel A, et al. Highly accurate protein structure prediction with AlphaFold[J]. Nature, 2021, 596(7873): 583-589. [28]
- Callaway E. What's next for AlphaFold and the AI protein-folding revolution[J]. Nature, 2022, 604(7905): 234-238. [29]
- DeepMind’s AI for protein structure is coming to the masses [30]
- Nature:‘The entire protein universe’: AI predicts shape of nearly every known protein [31]