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{"title":"Predicting Sequence Features, Function, and Structure of Proteins Using MESSA","authors":"Archana S. Bhat, Nick V. Grishin","doi":"10.1002/cpbi.84","DOIUrl":null,"url":null,"abstract":"<p>MEta-Server for protein Sequence Analysis (MESSA) is a tool that facilitates widespread protein sequence analysis by gathering structural (local sequence properties and three-dimensional structure) and functional (annotations from SWISS-PROT, Gene Ontology terms, and enzyme classification) predictions for a query protein of interest. MESSA uses multiple well-established tools to offer consensus-based predictions on important aspects of protein sequence analysis. Being freely available for noncommercial users and with a user-friendly interface, MESSA serves as an umbrella platform that overcomes the absence of a comprehensive tool for predictive protein analysis. This article reveals how to access MESSA via the Web and shows how to input a protein sequence to analyze using the MESSA web server. It also includes a detailed explanation of the output from MESSA to aid in better interpretation of results. © 2019 by John Wiley & Sons, Inc.</p>","PeriodicalId":10958,"journal":{"name":"Current protocols in bioinformatics","volume":"67 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpbi.84","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current protocols in bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpbi.84","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}
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Abstract
MEta-Server for protein Sequence Analysis (MESSA) is a tool that facilitates widespread protein sequence analysis by gathering structural (local sequence properties and three-dimensional structure) and functional (annotations from SWISS-PROT, Gene Ontology terms, and enzyme classification) predictions for a query protein of interest. MESSA uses multiple well-established tools to offer consensus-based predictions on important aspects of protein sequence analysis. Being freely available for noncommercial users and with a user-friendly interface, MESSA serves as an umbrella platform that overcomes the absence of a comprehensive tool for predictive protein analysis. This article reveals how to access MESSA via the Web and shows how to input a protein sequence to analyze using the MESSA web server. It also includes a detailed explanation of the output from MESSA to aid in better interpretation of results. © 2019 by John Wiley & Sons, Inc.
利用MESSA预测蛋白质的序列特征、功能和结构
MEta-Server for protein Sequence Analysis (MESSA)是一种工具,通过收集感兴趣的查询蛋白质的结构(局部序列特性和三维结构)和功能(来自SWISS-PROT的注释,基因本体术语和酶分类)预测来促进广泛的蛋白质序列分析。MESSA使用多种完善的工具,在蛋白质序列分析的重要方面提供基于共识的预测。对于非商业用户来说,MESSA是免费的,并且具有用户友好的界面,它作为一个伞形平台,克服了预测蛋白质分析的综合工具的缺乏。本文揭示了如何通过Web访问MESSA,并展示了如何使用MESSA Web服务器输入要分析的蛋白质序列。它还包括对MESSA输出的详细解释,以帮助更好地解释结果。©2019 by John Wiley &儿子,Inc。
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