2021年7月,谷歌旗下DeepMind团队和欧洲生物信息研究所(EMBL-EBI)合作,发布由人工智能系统AlphaFold预测的蛋白结构数据库(AlphaFold Protein Structure Database)。这一数据库包含了AlphaFold人工智能系统预测的约35万个蛋白结构,覆盖包括人类以及20种生物学研究中常用模式生物(大肠杆菌、果蝇、斑马鱼、小鼠…)。在人类蛋白...
2020年底,DeepMind开发的新一代AlphaFold(即AlphaFold2)解决了生物学领域几十年来的重大挑战,实现了基于氨基酸序列精确预测蛋白质3D结构的重大突破。短短半年多后,DeepMind又与合作者发布了由AlphaFold2系统预测的蛋白结构数据库(AlphaFold Protein Structure Database)。该数据库包含了由新一代AlphaFold系统预测的约35万个...
AlphaFold 的预测结果通过 AlphaFold Protein Structure Database 免费提供，已经为来自 190 个国家的超过 ...
AlphaFold Protein Structure Databasealphafold.ebi.ac.uk/ 祝各位学业、科研顺利！
The AlphaFold Protein Structure Database (AlphaFold DB, https://alphafold.ebi.ac.uk) is an openly accessible, extensive database of high-accuracy protein-structure predictions. Powered by AlphaFold v2.0 of DeepMind, it has enabled an unprecedented expansion of the structural coverage of the known ...
3. Baek M, Dimaio F, Anishchenko I, et al. Accurate prediction of protein structures and interactions using a three-track neural network[J]. Science. 4. JIrwin J J, Tang K G, Young J, et al. ZINC20-A Free Ultralarge-Scale Chemical Database for Ligand Discovery [J]. Journal of ...
🧬 该网站基于 Protein Data Bank（PDB）和 AlphaFold 数据库的数据，利用 ProBiS 方法有效识别蛋白质活性位点，为新药发现提供支持。💻 ProBiS-Fold 网站能够预测人类结构蛋白质库中的 172,410 个结合位点，其中包括 3006 个新发现的小分子药物结合位点。🔬 该网站还首次使用 AlphaFold 数据库数据，允许研究者...
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Varadi, M et al. AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models. Nucleic Acids Research (2021). AlphaFold Data Copyright (2022) DeepMind Technologies Limited. ...
Varadi, Met al. AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences.Nucleic Acids Research(2024). If you use data from AlphaMissense in your work, please cite the following paper: ...