Results 161 to 170 of about 28,587,314 (277)
Sublinear ligand-based virtual screening using bitmap indices
Rarey M, Schlosser J, Schärfer C
doaj +1 more source
Discovery of Sphingosine-1-Phosphate Receptor Modulators as Potential CHI3L1 Inhibitors by Ligand-Based Virtual Screening and Molecular Dynamics Simulations. [PDF]
Aledavood E +3 more
europepmc +1 more source
Ligand-Based Virtual Screening, Molecular Docking, Molecular Dynamics, and MM-PBSA Calculations towards the Identification of Potential Novel Ricin Inhibitors. [PDF]
Botelho FD +7 more
europepmc +1 more source
A physics‐informed machine learning approach successfully decodes the complex catalytic activity of high‐entropy alloys for ammonia oxidation. By revealing a synergistic mechanism involving lattice and electronic couplings, the study identifies a superior “isolated‐surrounded” platinum motif.
Shangfeng Jiang +5 more
wiley +1 more source
Multifunctional cellulose hydrogel‐derived plastics (FCBPs) are fabricated via a novel molecular network engineering strategy involving epoxy cross‐linking, solvent exchange, and hot‐pressing techniques. The resulting materials exhibit high mechanical strength, excellent thermal/solvent resistance, stable fluorescence, complete biodegradability, and ...
Fuyuan Lu +11 more
wiley +1 more source
AutoDock-SS: AutoDock for Multiconformational Ligand-Based Virtual Screening. [PDF]
Ni B +4 more
europepmc +1 more source
Learning-to-rank for ligand-based virtual screening
identifier:oai:t2r2.star.titech.ac.jp ...
openaire +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Exploring benchmark dataset bias in ligand based virtual screening
Rohrer SG, Baumann Knut
doaj +1 more source

