蛋白质-核酸复合物:对接和结合亲和力

IF 6.1 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Current opinion in structural biology Pub Date : 2024-11-30 DOI:10.1016/j.sbi.2024.102955
M. Michael Gromiha, K. Harini
{"title":"蛋白质-核酸复合物:对接和结合亲和力","authors":"M. Michael Gromiha,&nbsp;K. Harini","doi":"10.1016/j.sbi.2024.102955","DOIUrl":null,"url":null,"abstract":"<div><div>Protein-nucleic interactions play essential roles in several biological processes, such as gene regulation, replication, transcription, repair and packaging. The knowledge of three-dimensional structures of protein-nucleic acid complexes and their binding affinities helps to understand these functions. In this review, we focus on two major aspects namely, (i) deciphering the three-dimensional structures of protein-nucleic acid complexes and (ii) predicting their binding affinities. The first part is devoted to the state-of-the-art methods for predicting the native structures and their performances including recent CASP targets. The second part is focused on different aspects of investigating the binding affinity of protein-nucleic acid complexes: (i) databases for thermodynamic parameters to understand the binding affinity, (ii) important features determining protein-nucleic acid binding affinity, (iii) predicting the binding affinity of protein-nucleic acid complexes using sequence and structure-based parameters and (iv) change in binding affinity upon mutation. It includes the latest developments in protein-nucleic acid docking algorithms and binding affinity predictions along with a list of computational resources for understanding protein-DNA and protein-RNA interactions.</div></div>","PeriodicalId":10887,"journal":{"name":"Current opinion in structural biology","volume":"90 ","pages":"Article 102955"},"PeriodicalIF":6.1000,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Protein-nucleic acid complexes: Docking and binding affinity\",\"authors\":\"M. Michael Gromiha,&nbsp;K. Harini\",\"doi\":\"10.1016/j.sbi.2024.102955\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Protein-nucleic interactions play essential roles in several biological processes, such as gene regulation, replication, transcription, repair and packaging. The knowledge of three-dimensional structures of protein-nucleic acid complexes and their binding affinities helps to understand these functions. In this review, we focus on two major aspects namely, (i) deciphering the three-dimensional structures of protein-nucleic acid complexes and (ii) predicting their binding affinities. The first part is devoted to the state-of-the-art methods for predicting the native structures and their performances including recent CASP targets. The second part is focused on different aspects of investigating the binding affinity of protein-nucleic acid complexes: (i) databases for thermodynamic parameters to understand the binding affinity, (ii) important features determining protein-nucleic acid binding affinity, (iii) predicting the binding affinity of protein-nucleic acid complexes using sequence and structure-based parameters and (iv) change in binding affinity upon mutation. It includes the latest developments in protein-nucleic acid docking algorithms and binding affinity predictions along with a list of computational resources for understanding protein-DNA and protein-RNA interactions.</div></div>\",\"PeriodicalId\":10887,\"journal\":{\"name\":\"Current opinion in structural biology\",\"volume\":\"90 \",\"pages\":\"Article 102955\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2024-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current opinion in structural biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0959440X24001829\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current opinion in structural biology","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0959440X24001829","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

蛋白-核相互作用在基因调控、复制、转录、修复和包装等多种生物过程中发挥着重要作用。了解蛋白质-核酸复合物的三维结构及其结合亲和力有助于理解这些功能。在这篇综述中,我们集中在两个主要方面,即(i)破译蛋白质-核酸复合物的三维结构和(ii)预测它们的结合亲和力。第一部分致力于预测原生结构及其性能的最先进方法,包括最近的CASP目标。第二部分侧重于研究蛋白质-核酸复合物结合亲和力的不同方面:(i)了解结合亲和力的热力学参数数据库,(ii)确定蛋白质-核酸结合亲和力的重要特征,(iii)使用基于序列和结构的参数预测蛋白质-核酸复合物的结合亲和力,以及(iv)结合亲和力随突变的变化。它包括蛋白质-核酸对接算法和结合亲和力预测的最新发展,以及用于理解蛋白质- dna和蛋白质- rna相互作用的计算资源列表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Protein-nucleic acid complexes: Docking and binding affinity
Protein-nucleic interactions play essential roles in several biological processes, such as gene regulation, replication, transcription, repair and packaging. The knowledge of three-dimensional structures of protein-nucleic acid complexes and their binding affinities helps to understand these functions. In this review, we focus on two major aspects namely, (i) deciphering the three-dimensional structures of protein-nucleic acid complexes and (ii) predicting their binding affinities. The first part is devoted to the state-of-the-art methods for predicting the native structures and their performances including recent CASP targets. The second part is focused on different aspects of investigating the binding affinity of protein-nucleic acid complexes: (i) databases for thermodynamic parameters to understand the binding affinity, (ii) important features determining protein-nucleic acid binding affinity, (iii) predicting the binding affinity of protein-nucleic acid complexes using sequence and structure-based parameters and (iv) change in binding affinity upon mutation. It includes the latest developments in protein-nucleic acid docking algorithms and binding affinity predictions along with a list of computational resources for understanding protein-DNA and protein-RNA interactions.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Current opinion in structural biology
Current opinion in structural biology 生物-生化与分子生物学
CiteScore
12.20
自引率
2.90%
发文量
179
审稿时长
6-12 weeks
期刊介绍: Current Opinion in Structural Biology (COSB) aims to stimulate scientifically grounded, interdisciplinary, multi-scale debate and exchange of ideas. It contains polished, concise and timely reviews and opinions, with particular emphasis on those articles published in the past two years. In addition to describing recent trends, the authors are encouraged to give their subjective opinion of the topics discussed. In COSB, we help the reader by providing in a systematic manner: 1. The views of experts on current advances in their field in a clear and readable form. 2. Evaluations of the most interesting papers, annotated by experts, from the great wealth of original publications. [...] The subject of Structural Biology is divided into twelve themed sections, each of which is reviewed once a year. Each issue contains two sections, and the amount of space devoted to each section is related to its importance. -Folding and Binding- Nucleic acids and their protein complexes- Macromolecular Machines- Theory and Simulation- Sequences and Topology- New constructs and expression of proteins- Membranes- Engineering and Design- Carbohydrate-protein interactions and glycosylation- Biophysical and molecular biological methods- Multi-protein assemblies in signalling- Catalysis and Regulation
期刊最新文献
Foundation models of protein sequences: A brief overview Chromatin domains in the cell: Phase separation and condensation From part to whole: AI-driven progress in fragment-based drug discovery Combining cryo-electron microscopy (cryo-EM) with orthogonal solution state methods to define the molecular basis of the phosphoprotein phosphatase family regulation and substrate specificity Bias in, bias out – AlphaFold-Multimer and the structural complexity of protein interfaces
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1