• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

CREDO:一个用于药物发现的蛋白质-配体相互作用数据库。

CREDO: a protein-ligand interaction database for drug discovery.

作者信息

Schreyer Adrian, Blundell Tom

机构信息

Department of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge CB21GA, UK.

出版信息

Chem Biol Drug Des. 2009 Feb;73(2):157-67. doi: 10.1111/j.1747-0285.2008.00762.x.

DOI:10.1111/j.1747-0285.2008.00762.x
PMID:19207418
Abstract

Harnessing data from the growing number of protein-ligand complexes in the Protein Data Bank is an important task in drug discovery. In order to benefit from the abundance of three-dimensional structures, structural data must be integrated with sequence as well as chemical data and the protein-small molecule interactions characterized structurally at the inter-atomic level. In this study, we present CREDO, a new publicly available database of protein-ligand interactions, which represents contacts as structural interaction fingerprints, implements novel features and is completely scriptable through its application programming interface. Features of CREDO include implementation of molecular shape descriptors with ultrafast shape recognition, fragmentation of ligands in the Protein Data Bank, sequence-to-structure mapping and the identification of approved drugs. Selected analyses of these key features are presented to highlight a range of potential applications of CREDO. The CREDO dataset has been released into the public domain together with the application programming interface under a Creative Commons license at http://www-cryst.bioc.cam.ac.uk/credo. We believe that the free availability and numerous features of CREDO database will be useful not only for commercial but also for academia-driven drug discovery programmes.

摘要

利用蛋白质数据库中越来越多的蛋白质-配体复合物数据是药物发现中的一项重要任务。为了从丰富的三维结构中获益,结构数据必须与序列以及化学数据整合,并且蛋白质-小分子相互作用要在原子水平上进行结构表征。在本研究中,我们展示了CREDO,一个新的公开可用的蛋白质-配体相互作用数据库,它将接触表示为结构相互作用指纹,实现了新的特性,并且可以通过其应用程序编程接口完全进行脚本编写。CREDO的特性包括使用超快形状识别实现分子形状描述符、蛋白质数据库中配体的碎片化、序列到结构的映射以及已批准药物的识别。对这些关键特性进行了选定的分析,以突出CREDO的一系列潜在应用。CREDO数据集已在知识共享许可下与应用程序编程接口一起发布到公共领域,网址为http://www-cryst.bioc.cam.ac.uk/credo。我们相信,CREDO数据库的免费可用性和众多特性不仅对商业药物发现计划有用,对学术驱动的药物发现计划也将有用。

相似文献

1
CREDO: a protein-ligand interaction database for drug discovery.CREDO:一个用于药物发现的蛋白质-配体相互作用数据库。
Chem Biol Drug Des. 2009 Feb;73(2):157-67. doi: 10.1111/j.1747-0285.2008.00762.x.
2
Atomic interactions and profile of small molecules disrupting protein-protein interfaces: the TIMBAL database.破坏蛋白质-蛋白质界面的小分子的原子相互作用及概况:TIMBAL数据库
Chem Biol Drug Des. 2009 Nov;74(5):457-67. doi: 10.1111/j.1747-0285.2009.00889.x.
3
CREDO: a structural interactomics database for drug discovery.CREDO:一个用于药物发现的结构互作组学数据库。
Database (Oxford). 2013 Jul 18;2013:bat049. doi: 10.1093/database/bat049. Print 2013.
4
GLIDA: GPCR-ligand database for chemical genomic drug discovery.GLIDA:用于化学基因组药物发现的GPCR配体数据库。
Nucleic Acids Res. 2006 Jan 1;34(Database issue):D673-7. doi: 10.1093/nar/gkj028.
5
PDB-Ligand: a ligand database based on PDB for the automated and customized classification of ligand-binding structures.PDB-配体:一个基于蛋白质数据银行(PDB)的配体数据库,用于配体结合结构的自动和定制分类。
Nucleic Acids Res. 2005 Jan 1;33(Database issue):D238-41. doi: 10.1093/nar/gki059.
6
Generalized modeling of enzyme-ligand interactions using proteochemometrics and local protein substructures.使用蛋白质化学计量学和局部蛋白质亚结构对酶-配体相互作用进行广义建模。
Proteins. 2006 Nov 15;65(3):568-79. doi: 10.1002/prot.21163.
7
MSDsite: a database search and retrieval system for the analysis and viewing of bound ligands and active sites.MSD网站:一个用于分析和查看结合配体及活性位点的数据库搜索与检索系统。
Proteins. 2005 Jan 1;58(1):190-9. doi: 10.1002/prot.20288.
8
Enhancing the functional annotation of PDB structures in PDBsum using key figures extracted from the literature.利用从文献中提取的关键数据增强PDBsum中PDB结构的功能注释。
Bioinformatics. 2007 Jul 15;23(14):1824-7. doi: 10.1093/bioinformatics/btm085. Epub 2007 Mar 24.
9
SitesBase: a database for structure-based protein-ligand binding site comparisons.SitesBase:一个用于基于结构的蛋白质-配体结合位点比较的数据库。
Nucleic Acids Res. 2006 Jan 1;34(Database issue):D231-4. doi: 10.1093/nar/gkj062.
10
Protein ligand interaction database (PLID).蛋白质配体相互作用数据库(PLID)。
Comput Biol Chem. 2008 Oct;32(5):387-90. doi: 10.1016/j.compbiolchem.2008.03.017. Epub 2008 Apr 8.

引用本文的文献

1
PDBe tools for an in-depth analysis of small molecules in the Protein Data Bank.蛋白质数据库中用于小分子深入分析的PDBe工具。
Protein Sci. 2025 Apr;34(4):e70084. doi: 10.1002/pro.70084.
2
The influence of model building schemes and molecular dynamics sampling on QM-cluster models: the chorismate mutase case study.模型构建方案和分子动力学采样对 QM-团簇模型的影响:分支酸变位酶案例研究。
Phys Chem Chem Phys. 2024 Apr 24;26(16):12467-12482. doi: 10.1039/d3cp06100k.
3
Repurposing Drugs for Inhibition against ALDH2 via a 2D/3D Ligand-Based Similarity Search and Molecular Simulation.
通过二维/三维基于配体相似性搜索和分子模拟的 ALDH2 抑制药物再利用。
Molecules. 2023 Oct 29;28(21):7325. doi: 10.3390/molecules28217325.
4
The binding pocket properties were fundamental to functional diversification of the GDSL-type esterases/lipases gene family in cotton.结合口袋特性对于棉花中GDSL型酯酶/脂肪酶基因家族的功能多样化至关重要。
Front Plant Sci. 2023 Jan 18;13:1099673. doi: 10.3389/fpls.2022.1099673. eCollection 2022.
5
CavitySpace: A Database of Potential Ligand Binding Sites in the Human Proteome.腔隙空间:人类蛋白质组中潜在配体结合位点数据库。
Biomolecules. 2022 Jul 11;12(7):967. doi: 10.3390/biom12070967.
6
FGDB: a comprehensive graph database of ligand fragments from the Protein Data Bank.FGDB:蛋白质数据库中配体片段的综合图数据库。
Database (Oxford). 2022 Jun 27;2022. doi: 10.1093/database/baac044.
7
Probing ion channel functional architecture and domain recombination compatibility by massively parallel domain insertion profiling.通过大规模并行结构域插入分析,探测离子通道功能结构和结构域重组兼容性。
Nat Commun. 2021 Dec 8;12(1):7114. doi: 10.1038/s41467-021-27342-0.
8
MolADI: A Web Server for Automatic Analysis of Protein-Small Molecule Dynamic Interactions.MolADI:一个用于自动分析蛋白质-小分子动态相互作用的网络服务器。
Molecules. 2021 Jul 30;26(15):4625. doi: 10.3390/molecules26154625.
9
Structural Analysis of (p)ppGpp Reveals Its Versatile Binding Pattern for Diverse Types of Target Proteins.(p)ppGpp的结构分析揭示了其对多种类型靶蛋白的多功能结合模式。
Front Microbiol. 2020 Nov 5;11:575041. doi: 10.3389/fmicb.2020.575041. eCollection 2020.
10
Applying Machine Learning to Ultrafast Shape Recognition in Ligand-Based Virtual Screening.将机器学习应用于基于配体的虚拟筛选中的超快形状识别。
Front Pharmacol. 2020 Feb 19;10:1675. doi: 10.3389/fphar.2019.01675. eCollection 2019.