Literature DB >> 26799148

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

Yan Li1, Zhixiong Zhao1, Zhihai Liu1, Minyi Su1, Renxiao Wang1,2.   

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.

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Year:  2016        PMID: 26799148     DOI: 10.1021/acs.jcim.5b00691

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  5 in total

Review 1.  Computational polypharmacology: a new paradigm for drug discovery.

Authors:  Rajan Chaudhari; Zhi Tan; Beibei Huang; Shuxing Zhang
Journal:  Expert Opin Drug Discov       Date:  2017-01-23       Impact factor: 6.098

2.  Systemic evolutionary chemical space exploration for drug discovery.

Authors:  Chong Lu; Shien Liu; Weihua Shi; Jun Yu; Zhou Zhou; Xiaoxiao Zhang; Xiaoli Lu; Faji Cai; Ning Xia; Yikai Wang
Journal:  J Cheminform       Date:  2022-04-01       Impact factor: 5.514

Review 3.  Computational Fragment-Based Drug Design: Current Trends, Strategies, and Applications.

Authors:  Yuemin Bian; Xiang-Qun Sean Xie
Journal:  AAPS J       Date:  2018-04-09       Impact factor: 4.009

4.  AutoGrow4: an open-source genetic algorithm for de novo drug design and lead optimization.

Authors:  Jacob O Spiegel; Jacob D Durrant
Journal:  J Cheminform       Date:  2020-04-17       Impact factor: 5.514

5.  Towards systematic exploration of chemical space: building the fragment library module in molecular property diagnostic suite.

Authors:  Anamika Singh Gaur; Lijo John; Nandan Kumar; M Ram Vivek; Selvaraman Nagamani; Hridoy Jyoti Mahanta; G Narahari Sastry
Journal:  Mol Divers       Date:  2022-08-04       Impact factor: 3.364

  5 in total

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