(c) 在蛋白质-核酸界面上,AlphaFold-latest 优于竞争系统(Baek et al.,2022),而对于RNA结构预测,它优于自动化方法,但略低于使用手动专家干预(AIchemy_RNA2)的顶级CASP15参赛者(Chen等人,2022; 熊等.,2021 年)。 (d) 最后,AlphaFold-latest 能够预测其他实体的结构,如键合配体、糖基化和修饰的残基或核苷酸。
AlphaFold-latest可以预测生物分子中所见的一系列特征的结构,例如共价结合的配体、糖基化和修饰残基。 总之,非常期待试用新版本的AlphaFold-latest,是骡子是马,拉出来遛遛!
AlphaFold-multimerCASPBreakthrough achievements in protein structure prediction have occurred recently, mostly due to the advent of sophisticated machine learning methods and significant advancements in algorithmic approaches. The most recent version of the AlphaFold model, known as "AlphaFold-latest," ...
Google DeepMind and Isomorphic Labs unveiled the newest version of AlphaFold, taking its flagship AI model far beyond predicting the structure of a single protein. AlphaFold 3 can now predict ...