Literature DB >> 33759133

Multiple Target Drug Design Using LigBuilder 3.

Xiaoyu Qing1, Shiwei Wang2, Yaxia Yuan3, Jianfeng Pei4, Luhua Lai5,6.   

Abstract

Designing drugs that directly interact with multiple targets is a promising approach for treating complicated diseases. In order to successfully bind to multiple targets of different families and achieve the desired ligand efficiency, multi-target-directed ligands (MTDLs) require a higher level of diversity and complexity. De novo design strategies for creating more diverse chemical entities with desired properties may present an improved approach for developing MTDLs. In this chapter, we describe a computational protocol for developing MTDLs using the first reported multi-target de novo program, LigBuilder 3, which combines a binding site prediction module with de novo drug design and optimization modules. As an illustration of each detailed procedure, we design dual-functional compounds of two well-characterized virus enzymes, HIV protease and reverse transcriptase (PR and RT, respectively), using fragments extracted from known inhibitors. LigBuilder 3 is accessible at http://www.pkumdl.cn/ligbuilder3/ .

Keywords:  LigBuilder 3; Multi-target drug design; de novo drug design

Mesh:

Substances:

Year:  2021        PMID: 33759133     DOI: 10.1007/978-1-0716-1209-5_16

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  45 in total

1.  Cardiovascular combinations.

Authors:  Gregory Glass
Journal:  Nat Rev Drug Discov       Date:  2004-09       Impact factor: 84.694

2.  Turning down, but not off.

Authors:  Stuart A Lipton
Journal:  Nature       Date:  2004-04-01       Impact factor: 49.962

Review 3.  Designed multiple ligands. An emerging drug discovery paradigm.

Authors:  Richard Morphy; Zoran Rankovic
Journal:  J Med Chem       Date:  2005-10-20       Impact factor: 7.446

Review 4.  The efficiency of multi-target drugs: the network approach might help drug design.

Authors:  Péter Csermely; Vilmos Agoston; Sándor Pongor
Journal:  Trends Pharmacol Sci       Date:  2005-04       Impact factor: 14.819

Review 5.  In-silico approaches to multi-target drug discovery : computer aided multi-target drug design, multi-target virtual screening.

Authors:  Xiao Hua Ma; Zhe Shi; Chunyan Tan; Yuyang Jiang; Mei Lin Go; Boon Chuan Low; Yu Zong Chen
Journal:  Pharm Res       Date:  2010-03-11       Impact factor: 4.200

6.  Computational Multitarget Drug Design.

Authors:  Weilin Zhang; Jianfeng Pei; Luhua Lai
Journal:  J Chem Inf Model       Date:  2017-02-23       Impact factor: 4.956

Review 7.  Strategies to overcome resistance to targeted protein kinase inhibitors.

Authors:  Henrik Daub; Katja Specht; Axel Ullrich
Journal:  Nat Rev Drug Discov       Date:  2004-12       Impact factor: 84.694

8.  Multi-target drugs: the trend of drug research and development.

Authors:  Jin-Jian Lu; Wei Pan; Yuan-Jia Hu; Yi-Tao Wang
Journal:  PLoS One       Date:  2012-06-29       Impact factor: 3.240

9.  Multi-target pharmacology: possibilities and limitations of the "skeleton key approach" from a medicinal chemist perspective.

Authors:  Alan Talevi
Journal:  Front Pharmacol       Date:  2015-09-22       Impact factor: 5.810

10.  A perspective on multi-target drug discovery and design for complex diseases.

Authors:  Rona R Ramsay; Marija R Popovic-Nikolic; Katarina Nikolic; Elisa Uliassi; Maria Laura Bolognesi
Journal:  Clin Transl Med       Date:  2018-01-17
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.