下载PDF
{"title":"Using PconsC4 and PconsFold2 to Predict Protein Structure","authors":"Claudio Bassot, David Menendez Hurtado, Arne Elofsson","doi":"10.1002/cpbi.75","DOIUrl":null,"url":null,"abstract":"<p>In spite of the fact that there has been a significant increase in the number of solved protein structures, structural information is missing for many proteins. Although structural information is codified in the amino acid sequence, computational prediction using only this information is still an unsolved problem. However, one successful method to model a protein's structure starting from the primary sequence is to use contact prediction derived from multiple sequence alignment (MSA). Here we use our contact predictor PconsC4 to generate a list of probable contacts between residues in the primary sequences. These contacts are then used together with the secondary structure prediction as constraints for the CONFOLD folding method. In this way, a 3D protein model can be built starting directly from the primary sequence. © 2019 by John Wiley & Sons, Inc.</p>","PeriodicalId":10958,"journal":{"name":"Current protocols in bioinformatics","volume":"66 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpbi.75","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current protocols in bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpbi.75","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 7
引用
批量引用
Abstract
In spite of the fact that there has been a significant increase in the number of solved protein structures, structural information is missing for many proteins. Although structural information is codified in the amino acid sequence, computational prediction using only this information is still an unsolved problem. However, one successful method to model a protein's structure starting from the primary sequence is to use contact prediction derived from multiple sequence alignment (MSA). Here we use our contact predictor PconsC4 to generate a list of probable contacts between residues in the primary sequences. These contacts are then used together with the secondary structure prediction as constraints for the CONFOLD folding method. In this way, a 3D protein model can be built starting directly from the primary sequence. © 2019 by John Wiley & Sons, Inc.
利用PconsC4和pconfold2预测蛋白质结构
尽管已经解决的蛋白质结构数量显著增加,但许多蛋白质的结构信息仍然缺失。虽然结构信息在氨基酸序列中被编码,但仅使用这些信息进行计算预测仍然是一个未解决的问题。然而,一种从初级序列开始模拟蛋白质结构的成功方法是使用来自多序列比对(MSA)的接触预测。在这里,我们使用我们的接触预测器PconsC4来生成初级序列中残基之间可能接触的列表。然后将这些接触与二级结构预测一起用作conold折叠方法的约束。通过这种方式,可以直接从初级序列开始构建三维蛋白质模型。©2019 by John Wiley &儿子,Inc。
本文章由计算机程序翻译,如有差异,请以英文原文为准。