[HTML][HTML] The variational quantum eigensolver: a review of methods and best practices
The variational quantum eigensolver (or VQE), first developed by Peruzzo et al.(2014), has
received significant attention from the research community in recent years. It uses the …
received significant attention from the research community in recent years. It uses the …
Molecular dynamics simulations in drug discovery and pharmaceutical development
Molecular dynamics (MD) simulations have become increasingly useful in the modern drug
development process. In this review, we give a broad overview of the current application …
development process. In this review, we give a broad overview of the current application …
End-point binding free energy calculation with MM/PBSA and MM/GBSA: strategies and applications in drug design
Molecular mechanics Poisson–Boltzmann surface area (MM/PBSA) and molecular
mechanics generalized Born surface area (MM/GBSA) are arguably very popular methods …
mechanics generalized Born surface area (MM/GBSA) are arguably very popular methods …
Best practices for alchemical free energy calculations
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 …
associated with the transfer of molecules from one environment to another. The hallmark of …
Relative binding free energy calculations in drug discovery: recent advances and practical considerations
Accurate in silico prediction of protein–ligand binding affinities has been a primary objective
of structure-based drug design for decades due to the putative value it would bring to the …
of structure-based drug design for decades due to the putative value it would bring to the …
Application of computational biology and artificial intelligence in drug design
Traditional drug design requires a great amount of research time and developmental
expense. Booming computational approaches, including computational biology, computer …
expense. Booming computational approaches, including computational biology, computer …
Merging ligand-based and structure-based methods in drug discovery: An overview of combined virtual screening approaches
Virtual screening (VS) is an outstanding cornerstone in the drug discovery pipeline. A variety
of computational approaches, which are generally classified as ligand-based (LB) and …
of computational approaches, which are generally classified as ligand-based (LB) and …
Learning characteristics of graph neural networks predicting protein–ligand affinities
In drug design, compound potency prediction is a popular machine learning application.
Graph neural networks (GNNs) predict ligand affinity from graph representations of protein …
Graph neural networks (GNNs) predict ligand affinity from graph representations of protein …
Rapid, accurate, precise and reproducible ligand–protein binding free energy prediction
A central quantity of interest in molecular biology and medicine is the free energy of binding
of a molecule to a target biomacromolecule. Until recently, the accurate prediction of binding …
of a molecule to a target biomacromolecule. Until recently, the accurate prediction of binding …
An overview of molecular modeling for drug discovery with specific illustrative examples of applications
M Aminpour, C Montemagno, JA Tuszynski - Molecules, 2019 - mdpi.com
In this paper we review the current status of high-performance computing applications in the
general area of drug discovery. We provide an introduction to the methodologies applied at …
general area of drug discovery. We provide an introduction to the methodologies applied at …