Computational methods in drug discovery
Computer-aided drug discovery/design methods have played a major role in the
development of therapeutically important small molecules for over three decades. These …
development of therapeutically important small molecules for over three decades. These …
Molecular dynamics simulations and drug discovery
This review discusses the many roles atomistic computer simulations of macromolecular (for
example, protein) receptors and their associated small-molecule ligands can play in drug …
example, protein) receptors and their associated small-molecule ligands can play in drug …
Ensemble docking in drug discovery
Ensemble docking corresponds to the generation of an" ensemble" of drug target
conformations in computational structure-based drug discovery, often obtained by using …
conformations in computational structure-based drug discovery, often obtained by using …
Toll-like receptor-guided therapeutic intervention of human cancers: molecular and immunological perspectives
Toll-like receptors (TLRs) serve as the body's first line of defense, recognizing both
pathogen-expressed molecules and host-derived molecules released from damaged or …
pathogen-expressed molecules and host-derived molecules released from damaged or …
Ligand binding free energy and kinetics calculation in 2020
V Limongelli - Wiley Interdisciplinary Reviews: Computational …, 2020 - Wiley Online Library
Ligand/protein binding (LPB) is a major topic in medicine, chemistry and biology. Since the
advent of computers, many scientists have put efforts in develo** theoretical models that …
advent of computers, many scientists have put efforts in develo** theoretical models that …
POVME 2.0: an enhanced tool for determining pocket shape and volume characteristics
Analysis of macromolecular/small-molecule binding pockets can provide important insights
into molecular recognition and receptor dynamics. Since its release in 2011, the POVME …
into molecular recognition and receptor dynamics. Since its release in 2011, the POVME …
Improving structure-based virtual screening with ensemble docking and machine learning
One of the main challenges of structure-based virtual screening (SBVS) is the incorporation
of the receptor's flexibility, as its explicit representation in every docking run implies a high …
of the receptor's flexibility, as its explicit representation in every docking run implies a high …
ProteinVR: Web-based molecular visualization in virtual reality
KC Cassidy, J Šefčík, Y Raghav, A Chang… - PLoS computational …, 2020 - journals.plos.org
Protein structure determines biological function. Accurately conceptualizing 3D
protein/ligand structures is thus vital to scientific research and education. Virtual reality (VR) …
protein/ligand structures is thus vital to scientific research and education. Virtual reality (VR) …
BINANA: a novel algorithm for ligand-binding characterization
Computational chemists and structural biologists are often interested in characterizing
ligand–receptor complexes for hydrogen-bond, hydrophobic, salt-bridge, van der Waals …
ligand–receptor complexes for hydrogen-bond, hydrophobic, salt-bridge, van der Waals …
The glutamate hypothesis in ALS: pathophysiology and drug development
H Blasco, S Mavel, P Corcia… - Current medicinal …, 2014 - ingentaconnect.com
Amyotrophic lateral sclerosis (ALS) is an age-related neurodegenerative disorder that is
believed to have complex genetic and environmental influences in the pathogenesis, but …
believed to have complex genetic and environmental influences in the pathogenesis, but …