Computational approaches for identifying disease-causing mutations in proteins.

3区 生物学 Q1 Biochemistry, Genetics and Molecular Biology
Medha Pandey, Suraj Kumar Shah, M Michael Gromiha
{"title":"Computational approaches for identifying disease-causing mutations in proteins.","authors":"Medha Pandey, Suraj Kumar Shah, M Michael Gromiha","doi":"10.1016/bs.apcsb.2023.11.007","DOIUrl":null,"url":null,"abstract":"<p><p>Advancements in genome sequencing have expanded the scope of investigating mutations in proteins across different diseases. Amino acid mutations in a protein alter its structure, stability and function and some of them lead to diseases. Identification of disease-causing mutations is a challenging task and it will be helpful for designing therapeutic strategies. Hence, mutation data available in the literature have been curated and stored in several databases, which have been effectively utilized for developing computational methods to identify deleterious mutations (drivers), using sequence and structure-based properties of proteins. In this chapter, we describe the contents of specific databases that have information on disease-causing and neutral mutations followed by sequence and structure-based properties. Further, characteristic features of disease-causing mutations will be discussed along with computational methods for identifying cancer hotspot residues and disease-causing mutations in proteins.</p>","PeriodicalId":7376,"journal":{"name":"Advances in protein chemistry and structural biology","volume":"139 ","pages":"141-171"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in protein chemistry and structural biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/bs.apcsb.2023.11.007","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/12/20 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 0

Abstract

Advancements in genome sequencing have expanded the scope of investigating mutations in proteins across different diseases. Amino acid mutations in a protein alter its structure, stability and function and some of them lead to diseases. Identification of disease-causing mutations is a challenging task and it will be helpful for designing therapeutic strategies. Hence, mutation data available in the literature have been curated and stored in several databases, which have been effectively utilized for developing computational methods to identify deleterious mutations (drivers), using sequence and structure-based properties of proteins. In this chapter, we describe the contents of specific databases that have information on disease-causing and neutral mutations followed by sequence and structure-based properties. Further, characteristic features of disease-causing mutations will be discussed along with computational methods for identifying cancer hotspot residues and disease-causing mutations in proteins.

识别蛋白质致病突变的计算方法。
基因组测序技术的进步扩大了对不同疾病蛋白质突变的研究范围。蛋白质中的氨基酸突变会改变其结构、稳定性和功能,其中一些突变会导致疾病。鉴定致病突变是一项具有挑战性的任务,它将有助于设计治疗策略。因此,文献中的突变数据已被整理并存储在多个数据库中,这些数据库已被有效地用于开发计算方法,利用蛋白质的序列和结构特性来识别有害突变(驱动因素)。在本章中,我们将介绍一些特定数据库的内容,这些数据库拥有致病突变和中性突变的信息,以及基于序列和结构的特性。此外,还将讨论致病突变的特征,以及识别蛋白质中癌症热点残基和致病突变的计算方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Advances in protein chemistry and structural biology
Advances in protein chemistry and structural biology BIOCHEMISTRY & MOLECULAR BIOLOGY-
CiteScore
7.40
自引率
0.00%
发文量
66
审稿时长
>12 weeks
期刊介绍: Published continuously since 1944, The Advances in Protein Chemistry and Structural Biology series has been the essential resource for protein chemists. Each volume brings forth new information about protocols and analysis of proteins. Each thematically organized volume is guest edited by leading experts in a broad range of protein-related topics.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信