Literature DB >> 25891095

Protein Flexibility in Drug Discovery: From Theory to Computation.

Rosa Buonfiglio1, Maurizio Recanatini2, Matteo Masetti3.   

Abstract

Nowadays it is widely accepted that the mechanisms of biomolecular recognition are strongly coupled to the intrinsic dynamic of proteins. In past years, this evidence has prompted the development of theoretical models of recognition able to describe ligand binding assisted by protein conformational changes. On a different perspective, the need to take into account protein flexibility in structure-based drug discovery has stimulated the development of several and extremely diversified computational methods. Herein, on the basis of a parallel between the major recognition models and the simulation strategies used to account for protein flexibility in ligand binding, we sort out and describe the most innovative and promising implementations for structure-based drug discovery.
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  conformation analysis; drug discovery; energy landscape; ligand docking; virtual screening

Mesh:

Substances:

Year:  2015        PMID: 25891095     DOI: 10.1002/cmdc.201500086

Source DB:  PubMed          Journal:  ChemMedChem        ISSN: 1860-7179            Impact factor:   3.466


  15 in total

Review 1.  Protein-ligand (un)binding kinetics as a new paradigm for drug discovery at the crossroad between experiments and modelling.

Authors:  M Bernetti; A Cavalli; L Mollica
Journal:  Medchemcomm       Date:  2017-01-30       Impact factor: 3.597

2.  Coupling enhanced sampling of the apo-receptor with template-based ligand conformers selection: performance in pose prediction in the D3R Grand Challenge 4.

Authors:  Andrea Basciu; Panagiotis I Koukos; Giuliano Malloci; Alexandre M J J Bonvin; Attilio V Vargiu
Journal:  J Comput Aided Mol Des       Date:  2019-11-13       Impact factor: 3.686

Review 3.  Analytical and functional aspects of protein-ligand interactions: Beyond induced fit and conformational selection.

Authors:  Michelle Redhair; William M Atkins
Journal:  Arch Biochem Biophys       Date:  2021-10-26       Impact factor: 4.013

4.  Decrypting a Cryptic Allosteric Pocket in H. pylori Glutamate Racemase.

Authors:  Pratik Rajesh Chheda; Grant T Cooling; Sondra F Dean; Jonah Propp; Kathryn F Hobbs; M Ashley Spies
Journal:  Commun Chem       Date:  2021-12-10

5.  Design, Synthesis and Evaluation of Fused Bicyclo[2.2.2]octene as a Potential Core Scaffold for the Non-Covalent Inhibitors of SARS-CoV-2 3CLpro Main Protease.

Authors:  Barbara Herlah; Andrej Hoivik; Luka Jamšek; Katja Valjavec; Norio Yamamoto; Tyuji Hoshino; Krištof Kranjc; Andrej Perdih
Journal:  Pharmaceuticals (Basel)       Date:  2022-04-27

6.  Modeling of Hidden Structures Using Sparse Chemical Shift Data from NMR Relaxation Dispersion.

Authors:  R Bryn Fenwick; David Oyen; Henry van den Bedem; H Jane Dyson; Peter E Wright
Journal:  Biophys J       Date:  2020-12-08       Impact factor: 4.033

7.  Machine learning assessment of the binding region as a tool for more efficient computational receptor-ligand docking.

Authors:  Matjaž Simončič; Miha Lukšič; Maksym Druchok
Journal:  J Mol Liq       Date:  2022-02-18       Impact factor: 6.165

8.  Evaluation of the novel algorithm of flexible ligand docking with moveable target-protein atoms.

Authors:  Alexey V Sulimov; Dmitry A Zheltkov; Igor V Oferkin; Danil C Kutov; Ekaterina V Katkova; Eugene E Tyrtyshnikov; Vladimir B Sulimov
Journal:  Comput Struct Biotechnol J       Date:  2017-03-03       Impact factor: 7.271

9.  Designing interactions by control of protein-ligand complex conformation: tuning arginine-arene interaction geometry for enhanced electrostatic protein-ligand interactions.

Authors:  A-L Noresson; O Aurelius; C T Öberg; O Engström; A P Sundin; M Håkansson; O Stenström; M Akke; D T Logan; H Leffler; U J Nilsson
Journal:  Chem Sci       Date:  2017-12-04       Impact factor: 9.825

Review 10.  Empirical Scoring Functions for Structure-Based Virtual Screening: Applications, Critical Aspects, and Challenges.

Authors:  Isabella A Guedes; Felipe S S Pereira; Laurent E Dardenne
Journal:  Front Pharmacol       Date:  2018-09-24       Impact factor: 5.810

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.