Protein contact map prediction using multiple sequence alignment dropout and consistency learning for sequences with less homologs

doi:10.1101/2021.05.12.443740

	Protein contact map prediction using multiple sequence alignment dropout and consistency learning for sequences with less homologs
	Liu, X.1,2 ; Jin, L.3 ; Gao, S.3 ; Zhao, S.1,2
	2021-05-13
状态	已发表
摘要	The prediction of protein contact map needs enough normalized number of effective sequence (Nf) in multiple sequence alignment (MSA). When Nf is small, the predicted contact maps are often not satisfactory. To solve this problem, we randomly selected a small part of sequence homologs for proteins with large Nf to generate MSAs with small Nf. From these MSAs, input features were generated and were passed through a consistency learning network, aiming to get the same results when using the features generated from the MSA with large Nf. The results showed that this method effectively improves the prediction accuracy of protein contact maps with small Nf.
语种	英语
DOI	10.1101/2021.05.12.443740
相关网址	查看原文
出处	bioRxiv
收录类别	PPRN.PPRN
WOS记录号	PPRN:8831061
WOS类目	Computer Science, Interdisciplinary Applications
文献类型	预印本
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/348513
专题	生命科学与技术学院信息科学与技术学院信息科学与技术学院_PI研究组_高盛华组 iHuman研究所_PI研究组_赵素文组生命科学与技术学院_博士生信息科学与技术学院_硕士生
通讯作者	Liu, X.
作者单位	1.Shanghai Tech Univ, Human Inst, Shanghai AH-201210, Peoples R China 2.Shanghai Tech Univ, Sch Sch Life Sci & Technol, Shanghai, Peoples R China 3.Shanghai Tech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China
推荐引用方式 GB/T 7714	Liu, X.,Jin, L.,Gao, S.,et al. Protein contact map prediction using multiple sequence alignment dropout and consistency learning for sequences with less homologs. 2021.