Literature DB >> 23625024

Identification of novel small molecule TGF-β antagonists using structure-based drug design.

Hao Wang1, Richard B Sessions, Stephen S Prime, Deborah K Shoemark, Shelley J Allen, Wei Hong, Sathya Narayanan, Ian C Paterson.   

Abstract

Aberrant transforming growth factor-β (TGF-β) signalling has been associated with a number of disease pathologies, such as the development of fibrosis in the heart, lung and liver, cardiovascular disease and cancer, hence the TGF-β pathway represents a promising target for a variety of diseases. However, highly specific ways to inhibit TGF-β signalling need to be developed to prevent cross-talk with related receptors and minimise unwanted side effects. We have used used virtual screening and molecular docking to identify small molecule inhibitors of TGF-β binding to TßRII. The crystal structure of TGF-β3 in complex with the extracellular domain of the type II TGF-β receptor was taken as a starting point for molecular docking and we developed a structure-based pharmacophore model to identify compounds that competitively inhibit the binding of TGF-β to TβRII and antogonize TGF-β signalling. We have experimentally tested 67 molecules suggested by in silico screening and similarity searching for their ability to inhibit TGF-β signalling in TGF-β-dependent luciferase assays in vitro and the molecule with the strongest inhibition had an IC50 of 18 μM. These compounds were selected to bind to the SS1 subsite (composed of F30, C31, D32, I50, T51 S52, I53, C54 and E55) of TßRII and all share the general property of being aromatic and fairly flat. Molecular dynamics simulations confirmed that this was the most likely binding mode. The computational methods used and the hits identified in this study provide an excellent guide to medicinal chemistry efforts to design tighter binding molecules to disrupt the TGF-β/TßRII interaction.

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Year:  2013        PMID: 23625024     DOI: 10.1007/s10822-013-9651-9

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  16 in total

1.  Detailed analysis of scoring functions for virtual screening.

Authors:  M Stahl; M Rarey
Journal:  J Med Chem       Date:  2001-03-29       Impact factor: 7.446

Review 2.  Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings.

Authors:  C A Lipinski; F Lombardo; B W Dominy; P J Feeney
Journal:  Adv Drug Deliv Rev       Date:  2001-03-01       Impact factor: 15.470

3.  Gaussian docking functions.

Authors:  Mark R McGann; Harold R Almond; Anthony Nicholls; J Andrew Grant; Frank K Brown
Journal:  Biopolymers       Date:  2003-01       Impact factor: 2.505

Review 4.  Mechanisms of TGF-beta signaling from cell membrane to the nucleus.

Authors:  Yigong Shi; Joan Massagué
Journal:  Cell       Date:  2003-06-13       Impact factor: 41.582

Review 5.  Mechanism of TGF-beta signaling to growth arrest, apoptosis, and epithelial-mesenchymal transition.

Authors:  Carl-Henrik Heldin; Maréne Landström; Aristidis Moustakas
Journal:  Curr Opin Cell Biol       Date:  2009-02-23       Impact factor: 8.382

6.  Properties and identification of human protein drug targets.

Authors:  Tala M Bakheet; Andrew J Doig
Journal:  Bioinformatics       Date:  2009-01-21       Impact factor: 6.937

7.  Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes.

Authors:  M D Eldridge; C W Murray; T R Auton; G V Paolini; R P Mee
Journal:  J Comput Aided Mol Des       Date:  1997-09       Impact factor: 3.686

8.  Development and validation of a genetic algorithm for flexible docking.

Authors:  G Jones; P Willett; R C Glen; A R Leach; R Taylor
Journal:  J Mol Biol       Date:  1997-04-04       Impact factor: 5.469

Review 9.  TGF-β/TGF-β receptor system and its role in physiological and pathological conditions.

Authors:  Juan F Santibañez; Miguel Quintanilla; Carmelo Bernabeu
Journal:  Clin Sci (Lond)       Date:  2011-09       Impact factor: 6.124

10.  An assay for transforming growth factor-beta using cells transfected with a plasminogen activator inhibitor-1 promoter-luciferase construct.

Authors:  M Abe; J G Harpel; C N Metz; I Nunes; D J Loskutoff; D B Rifkin
Journal:  Anal Biochem       Date:  1994-02-01       Impact factor: 3.365

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  3 in total

1.  Structure-Based Virtual Screening, Molecular Dynamics and Binding Free Energy Calculations of Hit Candidates as ALK-5 Inhibitors.

Authors:  Sheila C Araujo; Vinicius G Maltarollo; Michell O Almeida; Leonardo L G Ferreira; Adriano D Andricopulo; Kathia M Honorio
Journal:  Molecules       Date:  2020-01-09       Impact factor: 4.411

2.  In silico screening and molecular dynamics simulations toward new human papillomavirus 16 type inhibitors.

Authors:  Nima Razzaghi-Asl; Sahar Mirzayi; Karim Mahnam; Vahed Adhami; Saghi Sepehri
Journal:  Res Pharm Sci       Date:  2022-01-15

Review 3.  Target-Based Small Molecule Drug Discovery for Colorectal Cancer: A Review of Molecular Pathways and In Silico Studies.

Authors:  Said Moshawih; Ai Fern Lim; Chrismawan Ardianto; Khang Wen Goh; Nurolaini Kifli; Hui Poh Goh; Qais Jarrar; Long Chiau Ming
Journal:  Biomolecules       Date:  2022-06-23
  3 in total

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