• 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

自动T&T v.2:一种用于先导结构生成和优化的高效通用工具。

AutoT&T v.2: An Efficient and Versatile Tool for Lead Structure Generation and Optimization.

作者信息

Li Yan, Zhao Zhixiong, Liu Zhihai, Su Minyi, Wang Renxiao

机构信息

State Key Laboratory of Bioorganic and Natural Products Chemistry, Collaborative Innovation Center of Chemistry for Life Sciences, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences , 345 Lingling Road, Shanghai 200032, People's Republic of China.

State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology , Macau, People's Republic of China.

出版信息

J Chem Inf Model. 2016 Feb 22;56(2):435-53. doi: 10.1021/acs.jcim.5b00691. Epub 2016 Feb 3.

DOI:10.1021/acs.jcim.5b00691
PMID:26799148
Abstract

UNLABELLED

In structure-based drug design, automated de novo design methods are helpful tools for lead discovery as well as lead optimization. In a previous study ( J. Chem. Inf.

MODEL

2011 , 51 , 1474 - 1491 ) we reported a new de novo design method, namely, Automatic Tailoring and Transplanting (AutoT&T). It overcomes some intrinsic problems in conventional fragment-based buildup methods. In this study, we describe an upgraded version, namely, AutoT&T2. Structural operations conducted by AutoT&T2 have been largely optimized by introducing several new algorithms. As a result, its overall speed in multiround optimization jobs has been improved by a few thousand fold. With this improvement, it is now practical to conduct structural crossover among multiple lead molecules using AutoT&T2. Three different test cases are described in this study that demonstrate the new features and versatile applications of AutoT&T2. The AutoT&T2 software suite is available to the public. Besides, a Web portal for running AutoT&T2 online is provided at http://www.sioc-ccbg.ac.cn/software/att2 for testing.

摘要

未标注

在基于结构的药物设计中,自动从头设计方法是先导化合物发现和优化的有用工具。在之前的一项研究(《化学信息与建模杂志》:2011年,51卷,1474 - 1491页)中,我们报道了一种新的从头设计方法,即自动剪裁与移植(AutoT&T)。它克服了传统基于片段构建方法中的一些固有问题。在本研究中,我们描述了一个升级版,即AutoT&T2。通过引入几种新算法,AutoT&T2进行的结构操作已得到很大优化。结果,其在多轮优化任务中的整体速度提高了数千倍。有了这一改进,现在使用AutoT&T2在多个先导分子之间进行结构交叉变得可行。本研究描述了三个不同的测试案例,展示了AutoT&T2的新特性和广泛应用。AutoT&T2软件套件可供公众使用。此外,还提供了一个在线运行AutoT&T2的网站门户:http://www.sioc-ccbg.ac.cn/software/att2 用于测试。

相似文献

1
AutoT&T v.2: An Efficient and Versatile Tool for Lead Structure Generation and Optimization.自动T&T v.2:一种用于先导结构生成和优化的高效通用工具。
J Chem Inf Model. 2016 Feb 22;56(2):435-53. doi: 10.1021/acs.jcim.5b00691. Epub 2016 Feb 3.
2
Automatic tailoring and transplanting: a practical method that makes virtual screening more useful.自动剪裁和移植:一种使虚拟筛选更有用的实用方法。
J Chem Inf Model. 2011 Jun 27;51(6):1474-91. doi: 10.1021/ci200036m. Epub 2011 May 13.
3
Automatic perception of organic molecules based on essential structural information.基于基本结构信息对有机分子的自动感知。
J Chem Inf Model. 2007 Jul-Aug;47(4):1379-85. doi: 10.1021/ci700028w. Epub 2007 May 27.
4
LEADOPT: an automatic tool for structure-based lead optimization, and its application in structural optimizations of VEGFR2 and SYK inhibitors.LEADOPT:一种基于结构的先导化合物优化自动工具及其在VEGFR2和SYK抑制剂结构优化中的应用
Eur J Med Chem. 2015 Mar 26;93:523-38. doi: 10.1016/j.ejmech.2015.02.019. Epub 2015 Feb 14.
5
In silico fragment-based drug discovery: setup and validation of a fragment-to-lead computational protocol using S4MPLE.基于片段的计算机药物发现:使用 S4MPLE 建立和验证片段至先导物的计算方案。
J Chem Inf Model. 2013 Apr 22;53(4):836-51. doi: 10.1021/ci4000163. Epub 2013 Apr 11.
6
Introducing Drugster: a comprehensive and fully integrated drug design, lead and structure optimization toolkit.推出 Drugster:一款全面而完全集成的药物设计、先导和结构优化工具包。
Bioinformatics. 2013 Jan 1;29(1):126-8. doi: 10.1093/bioinformatics/bts637. Epub 2012 Oct 25.
7
Tagged fragment method for evolutionary structure-based de novo lead generation and optimization.基于进化结构的从头药物设计与优化的标记片段方法
J Med Chem. 2007 Nov 1;50(22):5392-402. doi: 10.1021/jm070750k. Epub 2007 Oct 6.
8
Design and implementation of an automated compound management system in support of lead optimization.支持先导化合物优化的自动化化合物管理系统的设计与实现。
J Biomol Screen. 2009 Jun;14(5):499-508. doi: 10.1177/1087057109335326. Epub 2009 Jun 1.
9
MILANO--custom annotation of microarray results using automatic literature searches.米兰——使用自动文献检索对微阵列结果进行定制注释。
BMC Bioinformatics. 2005 Jan 20;6:12. doi: 10.1186/1471-2105-6-12.
10
j5 DNA assembly design automation.j5 DNA组装设计自动化
Methods Mol Biol. 2014;1116:245-69. doi: 10.1007/978-1-62703-764-8_17.

引用本文的文献

1
Recent Advances in Automated Structure-Based De Novo Drug Design.基于结构的从头药物设计的最新进展。
J Chem Inf Model. 2024 Mar 25;64(6):1794-1805. doi: 10.1021/acs.jcim.4c00247. Epub 2024 Mar 14.
2
Fragment Merging Using a Graph Database Samples Different Catalogue Space than Similarity Search.使用图数据库进行片段合并采样的目录空间与相似度搜索不同。
J Chem Inf Model. 2023 Jun 12;63(11):3423-3437. doi: 10.1021/acs.jcim.3c00276. Epub 2023 May 25.
3
Towards systematic exploration of chemical space: building the fragment library module in molecular property diagnostic suite.
迈向化学空间的系统探索:构建分子性质诊断套件中的片段库模块。
Mol Divers. 2023 Jun;27(3):1459-1468. doi: 10.1007/s11030-022-10506-5. Epub 2022 Aug 4.
4
Systemic evolutionary chemical space exploration for drug discovery.用于药物发现的系统进化化学空间探索。
J Cheminform. 2022 Apr 1;14(1):19. doi: 10.1186/s13321-022-00598-4.
5
AutoGrow4: an open-source genetic algorithm for de novo drug design and lead optimization.AutoGrow4:一种用于从头药物设计和先导化合物优化的开源遗传算法。
J Cheminform. 2020 Apr 17;12(1):25. doi: 10.1186/s13321-020-00429-4.
6
An up-to-date overview of computational polypharmacology in modern drug discovery.计算药物多靶性在现代药物发现中的最新概述。
Expert Opin Drug Discov. 2020 Sep;15(9):1025-1044. doi: 10.1080/17460441.2020.1767063. Epub 2020 May 26.
7
Computational Fragment-Based Drug Design: Current Trends, Strategies, and Applications.基于片段的药物计算机辅助设计:当前趋势、策略和应用。
AAPS J. 2018 Apr 9;20(3):59. doi: 10.1208/s12248-018-0216-7.
8
Computational polypharmacology: a new paradigm for drug discovery.计算多药理学:药物发现的新范式。
Expert Opin Drug Discov. 2017 Mar;12(3):279-291. doi: 10.1080/17460441.2017.1280024. Epub 2017 Jan 23.