Literature DB >> 23651479

Protein interface pharmacophore mapping tools for small molecule protein: protein interaction inhibitor discovery.

Arnout Voet1, Eleanor F Banwell, Kamlesh K Sahu, Jonathan G Heddle, Kam Y J Zhang.   

Abstract

Protein:protein interactions are becoming increasingly significant as potential drug targets; however, the rational identification of small molecule inhibitors of such interactions remains a challenge. Pharmacophore modelling is a popular tool for virtual screening of compound libraries, and has previously been successfully applied to the discovery of enzymatic inhibitors. However, the application of pharmacophore modelling in the field of protein:protein interaction inhibitors has historically been considered more of a challenge and remains limited. In this review, we explore the interaction mimicry by known inhibitors that originate from in vitro screening, demonstrating the validity of pharmacophore mapping in the generation of queries for virtual screening. We discuss the pharmacophore mapping methods that have been successfully employed in the discovery of first-in-class inhibitors. These successful cases demonstrate the usefulness of a "tool kit" of diverse strategies for application across a range of situations depending on the available structural information.

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Year:  2013        PMID: 23651479     DOI: 10.2174/1568026611313090003

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  9 in total

1.  Combining in silico and in cerebro approaches for virtual screening and pose prediction in SAMPL4.

Authors:  Arnout R D Voet; Ashutosh Kumar; Francois Berenger; Kam Y J Zhang
Journal:  J Comput Aided Mol Des       Date:  2014-01-21       Impact factor: 3.686

Review 2.  Drug Design by Pharmacophore and Virtual Screening Approach.

Authors:  Deborah Giordano; Carmen Biancaniello; Maria Antonia Argenio; Angelo Facchiano
Journal:  Pharmaceuticals (Basel)       Date:  2022-05-23

Review 3.  Drug-Like Protein-Protein Interaction Modulators: Challenges and Opportunities for Drug Discovery and Chemical Biology.

Authors:  Bruno O Villoutreix; Melaine A Kuenemann; Jean-Luc Poyet; Heriberto Bruzzoni-Giovanelli; Céline Labbé; David Lagorce; Olivier Sperandio; Maria A Miteva
Journal:  Mol Inform       Date:  2014-06-02       Impact factor: 3.353

4.  Selectivity by small-molecule inhibitors of protein interactions can be driven by protein surface fluctuations.

Authors:  David K Johnson; John Karanicolas
Journal:  PLoS Comput Biol       Date:  2015-02-23       Impact factor: 4.475

5.  Discovery of small molecular inhibitors for interleukin-33/ST2 protein-protein interaction: a virtual screening, molecular dynamics simulations and binding free energy calculations.

Authors:  Tan Thanh Mai; Phuc Gia Nguyen; Minh-Tri Le; Thanh-Dao Tran; Phuong Nguyen Hoai Huynh; Dieu-Thuong Thi Trinh; Quoc-Thai Nguyen; Khac-Minh Thai
Journal:  Mol Divers       Date:  2022-01-15       Impact factor: 3.364

6.  Identification of potential interleukin-8 inhibitors acting on the interactive site between chemokine and CXCR2 receptor: A computational approach.

Authors:  Thi-Thuy-Nga Tran; Que-Huong Tran; Quoc-Thai Nguyen; Minh-Tri Le; Dieu-Thuong Thi Trinh; Khac-Minh Thai
Journal:  PLoS One       Date:  2022-02-24       Impact factor: 3.240

7.  Structure-based 3D-Pharmacophore modeling to discover novel interleukin 6 inhibitors: An in silico screening, molecular dynamics simulations and binding free energy calculations.

Authors:  Que-Huong Tran; Quoc-Thai Nguyen; Nguyen-Quynh-Huong Vo; Tan Thanh Mai; Thi-Thuy-Nga Tran; Thanh-Dao Tran; Minh-Tri Le; Dieu-Thuong Thi Trinh; Khac-Minh Thai
Journal:  PLoS One       Date:  2022-04-06       Impact factor: 3.240

8.  Electrostatic similarities between protein and small molecule ligands facilitate the design of protein-protein interaction inhibitors.

Authors:  Arnout Voet; Francois Berenger; Kam Y J Zhang
Journal:  PLoS One       Date:  2013-10-10       Impact factor: 3.240

Review 9.  Hierarchical virtual screening approaches in small molecule drug discovery.

Authors:  Ashutosh Kumar; Kam Y J Zhang
Journal:  Methods       Date:  2014-07-27       Impact factor: 3.608

  9 in total

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