Literature DB >> 30786217

Kinetics of Drug Binding and Residence Time.

Mattia Bernetti1, Matteo Masetti1, Walter Rocchia2, Andrea Cavalli1,3.   

Abstract

The kinetics of drug binding and unbinding is assuming an increasingly crucial role in the long, costly process of bringing a new medicine to patients. For example, the time a drug spends in contact with its biological target is known as residence time (the inverse of the kinetic constant of the drug-target unbinding, 1/koff). Recent reports suggest that residence time could predict drug efficacy in vivo, perhaps even more effectively than conventional thermodynamic parameters (free energy, enthalpy, entropy). There are many experimental and computational methods for predicting drug-target residence time at an early stage of drug discovery programs. Here, we review and discuss the methodological approaches to estimating drug binding kinetics and residence time. We first introduce the theoretical background of drug binding kinetics from a physicochemical standpoint. We then analyze the recent literature in the field, starting from the experimental methodologies and applications thereof and moving to theoretical and computational approaches to the kinetics of drug binding and unbinding. We acknowledge the central role of molecular dynamics and related methods, which comprise a great number of the computational methods and applications reviewed here. However, we also consider kinetic Monte Carlo. We conclude with the outlook that drug (un)binding kinetics may soon become a go/no go step in the discovery and development of new medicines.

Entities:  

Keywords:  Brownian dynamics; binding kinetics; drug discovery; molecular dynamics; surface plasmon resonance; transition state theory

Year:  2019        PMID: 30786217     DOI: 10.1146/annurev-physchem-042018-052340

Source DB:  PubMed          Journal:  Annu Rev Phys Chem        ISSN: 0066-426X            Impact factor:   12.703


  19 in total

1.  Quantifying Ligand-Protein Binding Kinetics with Self-Assembled Nano-oscillators.

Authors:  Guangzhong Ma; Xiaonan Shan; Shaopeng Wang; Nongjian Tao
Journal:  Anal Chem       Date:  2019-10-17       Impact factor: 6.986

2.  Estimation of binding rates and affinities from multiensemble Markov models and ligand decoupling.

Authors:  Yunhui Ge; Vincent A Voelz
Journal:  J Chem Phys       Date:  2022-04-07       Impact factor: 3.488

Review 3.  New perspectives in cancer drug development: computational advances with an eye to design.

Authors:  Matteo Castelli; Stefano A Serapian; Filippo Marchetti; Alice Triveri; Valentina Pirota; Luca Torielli; Simona Collina; Filippo Doria; Mauro Freccero; Giorgio Colombo
Journal:  RSC Med Chem       Date:  2021-07-07

Review 4.  Thermodynamics and Kinetics of Drug-Target Binding by Molecular Simulation.

Authors:  Sergio Decherchi; Andrea Cavalli
Journal:  Chem Rev       Date:  2020-10-02       Impact factor: 60.622

5.  Charge-Sensitive Optical Detection of Small Molecule Binding Kinetics in Normal Ionic Strength Buffer.

Authors:  Runli Liang; Guangzhong Ma; Wenwen Jing; Yan Wang; Yunze Yang; Nongjian Tao; Shaopeng Wang
Journal:  ACS Sens       Date:  2020-09-09       Impact factor: 7.711

6.  Combined Free-Energy Calculation and Machine Learning Methods for Understanding Ligand Unbinding Kinetics.

Authors:  Magd Badaoui; Pedro J Buigues; Dénes Berta; Gaurav M Mandana; Hankang Gu; Tamás Földes; Callum J Dickson; Viktor Hornak; Mitsunori Kato; Carla Molteni; Simon Parsons; Edina Rosta
Journal:  J Chem Theory Comput       Date:  2022-02-23       Impact factor: 6.578

7.  Estimation of non-constant variance in isothermal titration calorimetry using an ITC measurement model.

Authors:  Xiujie Ge; Lan Chen; Dexing Li; Renxiao Liu; Guanglu Ge
Journal:  PLoS One       Date:  2020-12-30       Impact factor: 3.240

8.  Molecular Mechanics Study of Flow and Surface Influence in Ligand-Protein Association.

Authors:  Shivansh Kaushik; Chia-En A Chang
Journal:  Front Mol Biosci       Date:  2021-05-10

Review 9.  Rapid, accurate, precise and reproducible ligand-protein binding free energy prediction.

Authors:  Shunzhou Wan; Agastya P Bhati; Stefan J Zasada; Peter V Coveney
Journal:  Interface Focus       Date:  2020-10-16       Impact factor: 3.906

10.  Ritonavir and xk263 Binding-Unbinding with HIV-1 Protease: Pathways, Energy and Comparison.

Authors:  Jianan Sun; Mark Anthony V Raymundo; Chia-En A Chang
Journal:  Life (Basel)       Date:  2022-01-13
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