End-point binding free energy calculation with MM/PBSA and MM/GBSA: strategies and applications in drug design

E Wang, H Sun, J Wang, Z Wang, H Liu… - Chemical …, 2019 - ACS Publications
Molecular mechanics Poisson–Boltzmann surface area (MM/PBSA) and molecular
mechanics generalized Born surface area (MM/GBSA) are arguably very popular methods …

Kinase inhibitors: the road ahead

FM Ferguson, NS Gray - Nature reviews Drug discovery, 2018 - nature.com
Receptor tyrosine kinase signalling pathways have been successfully targeted to inhibit
proliferation and angiogenesis for cancer therapy. However, kinase deregulation has been …

Protein structure-based drug design: from docking to molecular dynamics

P Śledź, A Caflisch - Current opinion in structural biology, 2018 - Elsevier
Highlights•High-throughput docking of small molecules is very successful in hit identification,
particularly for screening mainly rigid fragments.•Classical force fields with implicit solvent …

[HTML][HTML] Best practices for alchemical free energy calculations [article v1. 0]

ASJS Mey, BK Allen, HEB Macdonald… - Living journal of …, 2020 - ncbi.nlm.nih.gov
Alchemical free energy calculations are a useful tool for predicting free energy differences
associated with the transfer of molecules from one environment to another. The hallmark of …

Identify potent SARS-CoV-2 main protease inhibitors via accelerated free energy perturbation-based virtual screening of existing drugs

Z Li, X Li, YY Huang, Y Wu, R Liu… - Proceedings of the …, 2020 - National Acad Sciences
The COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2) has become a global crisis. There is no therapeutic treatment specific for …

Enhancing hit discovery in virtual screening through absolute protein–ligand binding free-energy calculations

W Chen, D Cui, SV Jerome, M Michino… - Journal of Chemical …, 2023 - ACS Publications
In the hit identification stage of drug discovery, a diverse chemical space needs to be
explored to identify initial hits. Contrary to empirical scoring functions, absolute protein …

Assessing the performance of MM/PBSA and MM/GBSA methods. 7. Entropy effects on the performance of end-point binding free energy calculation approaches

H Sun, L Duan, F Chen, H Liu, Z Wang, P Pan… - Physical Chemistry …, 2018 - pubs.rsc.org
Entropy effects play an important role in drug–target interactions, but the entropic
contribution to ligand-binding affinity is often neglected by end-point binding free energy …

Scoring functions for protein-ligand binding affinity prediction using structure-based deep learning: a review

R Meli, GM Morris, PC Biggin - Frontiers in bioinformatics, 2022 - frontiersin.org
The rapid and accurate in silico prediction of protein-ligand binding free energies or binding
affinities has the potential to transform drug discovery. In recent years, there has been a …

Planet: a multi-objective graph neural network model for protein–ligand binding affinity prediction

X Zhang, H Gao, H Wang, Z Chen… - Journal of Chemical …, 2023 - ACS Publications
Predicting protein–ligand binding affinity is a central issue in drug design. Various deep
learning models have been published in recent years, where many of them rely on 3D …

Network-based methods for prediction of drug-target interactions

Z Wu, W Li, G Liu, Y Tang - Frontiers in pharmacology, 2018 - frontiersin.org
Drug-target interaction (DTI) is the basis of drug discovery. However, it is time-consuming
and costly to determine DTIs experimentally. Over the past decade, various computational …