Literature DB >> 25420726

Fragment-based drug discovery and molecular docking in drug design.

Tao Wang, Mian-Bin Wu, Zheng-Jie Chen, Hua Chen, Jian-Ping Lin, Li-Rong Yang1.   

Abstract

Fragment-based drug discovery (FBDD) has caused a revolution in the process of drug discovery and design, with many FBDD leads being developed into clinical trials or approved in the past few years. Compared with traditional high-throughput screening, it displays obvious advantages such as efficiently covering chemical space, achieving higher hit rates, and so forth. In this review, we focus on the most recent developments of FBDD for improving drug discovery, illustrating the process and the importance of FBDD. In particular, the computational strategies applied in the process of FBDD and molecular-docking programs are highlighted elaborately. In most cases, docking is used for predicting the ligand-receptor interaction modes and hit identification by structurebased virtual screening. The successful cases of typical significance and the hits identified most recently are discussed.

Mesh:

Year:  2015        PMID: 25420726     DOI: 10.2174/1389201015666141122204532

Source DB:  PubMed          Journal:  Curr Pharm Biotechnol        ISSN: 1389-2010            Impact factor:   2.837


  12 in total

1.  Structure prediction, molecular simulations of RmlD from Mycobacterium tuberculosis, and interaction studies of Rhodanine derivatives for anti-tuberculosis activity.

Authors:  Harathi N; Sreenivasa Reddy P; Mounica Sura; Jayasimha Rayalu Daddam
Journal:  J Mol Model       Date:  2021-02-06       Impact factor: 1.810

2.  In silico fragment-mapping method: a new tool for fragment-based/structure-based drug discovery.

Authors:  Noriyuki Yamaotsu; Shuichi Hirono
Journal:  J Comput Aided Mol Des       Date:  2018-09-08       Impact factor: 3.686

3.  High-Throughput Screening (HTS) by NMR Guided Identification of Novel Agents Targeting the Protein Docking Domain of YopH.

Authors:  Angel Bottini; Bainan Wu; Elisa Barile; Surya K De; Marilisa Leone; Maurizio Pellecchia
Journal:  ChemMedChem       Date:  2015-11-23       Impact factor: 3.466

4.  The design of novel inhibitors for treating cancer by targeting CDC25B through disruption of CDC25B-CDK2/Cyclin A interaction using computational approaches.

Authors:  Hong-Lian Li; Ying Ma; Ying Ma; Yu Li; Xiu-Bo Chen; Wei-Li Dong; Run-Ling Wang
Journal:  Oncotarget       Date:  2017-05-16

Review 5.  A Practical Perspective on the Roles of Solution NMR Spectroscopy in Drug Discovery.

Authors:  Qingxin Li; CongBao Kang
Journal:  Molecules       Date:  2020-06-28       Impact factor: 4.411

Review 6.  Recent Advances and Applications of Molecular Docking to G Protein-Coupled Receptors.

Authors:  Damian Bartuzi; Agnieszka A Kaczor; Katarzyna M Targowska-Duda; Dariusz Matosiuk
Journal:  Molecules       Date:  2017-02-22       Impact factor: 4.411

7.  A Practical Perspective: The Effect of Ligand Conformers on the Negative Image-Based Screening.

Authors:  Mira Ahinko; Sami T Kurkinen; Sanna P Niinivehmas; Olli T Pentikäinen; Pekka A Postila
Journal:  Int J Mol Sci       Date:  2019-06-06       Impact factor: 5.923

Review 8.  In silico Strategies to Support Fragment-to-Lead Optimization in Drug Discovery.

Authors:  Lauro Ribeiro de Souza Neto; José Teófilo Moreira-Filho; Bruno Junior Neves; Rocío Lucía Beatriz Riveros Maidana; Ana Carolina Ramos Guimarães; Nicholas Furnham; Carolina Horta Andrade; Floriano Paes Silva
Journal:  Front Chem       Date:  2020-02-18       Impact factor: 5.221

9.  Ligand and Structure-Based Approaches for the Identification of Peptide Deformylase Inhibitors as Antibacterial Drugs.

Authors:  Jian Gao; Li Liang; Yasheng Zhu; Shengzhi Qiu; Tao Wang; Ling Zhang
Journal:  Int J Mol Sci       Date:  2016-07-15       Impact factor: 5.923

Review 10.  Structure-Based Virtual Screening: From Classical to Artificial Intelligence.

Authors:  Eduardo Habib Bechelane Maia; Letícia Cristina Assis; Tiago Alves de Oliveira; Alisson Marques da Silva; Alex Gutterres Taranto
Journal:  Front Chem       Date:  2020-04-28       Impact factor: 5.221

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