遇见数据集

Collective Variable for Metadynamics Derived from AlphaFold Output

收藏
NIAID Data Ecosystem2026-05-01 收录
数据链接:
官方服务:

资源简介:

AlphaFold is the state of the art method for prediction of 3D structures of proteins from the amino acid sequence by neural networks. One of the outputs of AlphaFold is a probability profile of inter-residue distances for all residue pairs. We used this profile to evaluate any conformation of the studied protein to express its compliance with the AlphaFold prediction. This value can be used as a collective variable in metadynamics or parallel tempering metadynamics to accelerate protein folding in a molecular simulation. We applied this approach on folding of mini-proteins Trp-cage and beta hairpin. See V. Spiwok, M. Krečka & A. Křenek: Collective Variable for Metadynamics Derived from AlphaFold Output Frontiers in Molecular Biosciences 9 878133 (2022) DOI: 10.3389/fmolb.2022.878133.

创建时间:
2023-04-13
二维码
社区交流群
二维码
科研交流群
商业服务