[HTML][HTML] The physics behind water irregularity

CQ Sun, Y Huang, X Zhang, Z Ma, B Wang - Physics Reports, 2023 - Elsevier
The notion of asymmetrical Hydrogen Bond (O: HO) Cooperativity and Polarizability (HBCP)
has enabled exploration of the core physics behind irregularities of water and ice …

Molecular dynamics in drug design

H Zhao, A Caflisch - European journal of medicinal chemistry, 2015 - Elsevier
Molecular dynamics (MD) simulations are useful tools for structure-based drug design. We
review recent publications in which explicit solvent MD was used at the initial or final stages …

Small‐molecule inhibitors of METTL3, the major human epitranscriptomic writer

RK Bedi, D Huang, SA Eberle, L Wiedmer… - …, 2020 - Wiley Online Library
The RNA methylase METTL3 catalyzes the transfer of a methyl group from the cofactor S‐
adenosyl‐L‐methionine (SAM) to the N6 atom of adenine. We have screened a library of …

Molecular docking-based computational platform for high-throughput virtual screening

B Zhang, H Li, K Yu, Z Jin - CCF Transactions on High Performance …, 2022 - Springer
Abstract Structure-based virtual screening is a key, routine computational method in
computer-aided drug design. Such screening can be used to identify potentially highly active …

Exponential consensus ranking improves the outcome in docking and receptor ensemble docking

K Palacio-Rodríguez, I Lans, CN Cavasotto… - Scientific reports, 2019 - nature.com
Consensus-scoring methods are commonly used with molecular docking in virtual screening
campaigns to filter potential ligands for a protein target. Traditional consensus methods …

mTOR/EGFR/iNOS/MAP2K1/FGFR/TGFB1 are druggable candidates for N-(2, 4-difluorophenyl)-2′, 4′-difluoro-4-hydroxybiphenyl-3-carboxamide (NSC765598) …

B Lawal, CY Lee, N Mokgautsi, MR Sumitra… - Frontiers in …, 2021 - frontiersin.org
Background The application of computational and multi-omics approaches has aided our
understanding of carcinogenesis and the development of therapeutic strategies …

Leveraging uncertainty in machine learning accelerates biological discovery and design

B Hie, BD Bryson, B Berger - Cell systems, 2020 - cell.com
Machine learning that generates biological hypotheses has transformative potential, but
most learning algorithms are susceptible to pathological failure when exploring regimes …

Discovery of ZAP70 inhibitors by high-throughput docking into a conformation of its kinase domain generated by molecular dynamics

H Zhao, A Caflisch - Bioorganic & medicinal chemistry letters, 2013 - Elsevier
Very few selective inhibitors of the zeta-chain associated protein kinase 70 kDa (ZAP70)
have been reported despite its importance in autoimmune diseases. Here, to induce a fit of …

Specific noncovalent interactions at protein-ligand interface: implications for rational drug design

P Zhou, J Huang, F Tian - Current medicinal chemistry, 2012 - ingentaconnect.com
Specific noncovalent interactions that are indicative of attractive, directional intermolecular
forces have always been of key interest to medicinal chemists in their search for the “glue” …

Enriching screening libraries with bioactive fragment space

N Zhang, H Zhao - Bioorganic & Medicinal Chemistry Letters, 2016 - Elsevier
By deconvoluting 238,073 bioactive molecules in the ChEMBL library into extended Murcko
ring systems, we identified a set of 2245 ring systems present in at least 10 molecules …