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 …

[HTML][HTML] Recent developments and applications of the MMPBSA method

C Wang, DA Greene, L Xiao, R Qi… - Frontiers in molecular …, 2018 - frontiersin.org
The Molecular Mechanics Poisson-Boltzmann Surface Area (MMPBSA) approach has been
widely applied as an efficient and reliable free energy simulation method to model molecular …

Fast identification of possible drug treatment of coronavirus disease-19 (COVID-19) through computational drug repurposing study

J Wang - Journal of chemical information and modeling, 2020 - ACS Publications
The recent outbreak of novel coronavirus disease-19 (COVID-19) calls for and welcomes
possible treatment strategies using drugs on the market. It is very efficient to apply computer …

Decoding the identification mechanism of an SAM-III Riboswitch on ligands through multiple independent Gaussian-accelerated molecular dynamics simulations

J Chen, Q Zeng, W Wang, H Sun… - Journal of Chemical …, 2022 - ACS Publications
S-Adenosyl-l-methionine (SAM)-responsive riboswitches play a central role in the regulation
of bacterial gene expression at the level of transcription attenuation or translation inhibition …

The MM/PBSA and MM/GBSA methods to estimate ligand-binding affinities

S Genheden, U Ryde - Expert opinion on drug discovery, 2015 - Taylor & Francis
Introduction: The molecular mechanics energies combined with the Poisson–Boltzmann or
generalized Born and surface area continuum solvation (MM/PBSA and MM/GBSA) methods …

Dielectric continuum methods for quantum chemistry

JM Herbert - Wiley Interdisciplinary Reviews: Computational …, 2021 - Wiley Online Library
This review describes the theory and implementation of implicit solvation models based on
continuum electrostatics. Within quantum chemistry this formalism is sometimes …

Improved protein–ligand binding affinity prediction with structure-based deep fusion inference

D Jones, H Kim, X Zhang, A Zemla… - Journal of chemical …, 2021 - ACS Publications
Predicting accurate protein–ligand binding affinities is an important task in drug discovery
but remains a challenge even with computationally expensive biophysics-based energy …

Structure-based drug repurposing: Traditional and advanced AI/ML-aided methods

C Choudhury, NA Murugan, UD Priyakumar - Drug discovery today, 2022 - Elsevier
Highlights•Repurposing existing drugs for new diseases is cost effective and time saving.•In
silico methods are crucial for rapid drug screening in the early stages.•Machine learning …

Assessing the performance of the MM/PBSA and MM/GBSA methods. 6. Capability to predict protein–protein binding free energies and re-rank binding poses …

F Chen, H Liu, H Sun, P Pan, Y Li, D Li… - Physical Chemistry …, 2016 - pubs.rsc.org
Understanding protein–protein interactions (PPIs) is quite important to elucidate crucial
biological processes and even design compounds that interfere with PPIs with …

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 …