AlphaFold

AlphaFold蛋白质结构数据库是由Google DeepMind和欧洲生物信息学研究所(EMBL-EBI)合作开发的开放数据库，提供超过2亿种蛋白质结构预测结果。该数据库基于AlphaFold AI系统，能够从氨基酸序列预测蛋白质的三维结构，准确度可与实验相媲美。数据库涵盖人类蛋白质组以及47种其他重要生物体的蛋白质组预测，并支持UniProt中手动筛选的Swiss-Prot子集下载。The AlphaFold Protein Structure Database is an open-access database collaboratively developed by Google DeepMind and the European Molecular Biology Laboratory's European Bioinformatics Institute (EMBL-EBI). It provides over 200 million predicted protein structures. Built on the AlphaFold AI system, this database can predict the three-dimensional structures of proteins from their amino acid sequences, with accuracy comparable to experimental methods. The database covers predictions of the human proteome and the proteomes of 47 other important organisms, and supports downloading of the manually curated Swiss-Prot subset from UniProt.

搜集汇总

背景与挑战

背景概述

AlphaFold是由Google DeepMind与EMBL-EBI合作开发的开放蛋白质结构数据库，基于AI系统从氨基酸序列预测三维结构，准确度可比肩实验。该数据库提供超过2亿个预测结果，涵盖人类蛋白质组及47种其他重要生物体的蛋白质组，并支持手动筛选的Swiss-Prot子集下载。