Machine learning–assisted molecular design and efficiency prediction for high-performance organic photovoltaic materials
In the process of finding high-performance materials for organic photovoltaics (OPVs), it is
meaningful if one can establish the relationship between chemical structures and …
meaningful if one can establish the relationship between chemical structures and …
Computer-aided drug design methods
W Yu, AD MacKerell - Antibiotics: methods and protocols, 2017 - Springer
Computational approaches are useful tools to interpret and guide experiments to expedite
the antibiotic drug design process. Structure-based drug design (SBDD) and ligand-based …
the antibiotic drug design process. Structure-based drug design (SBDD) and ligand-based …
BATMAN-TCM: a bioinformatics analysis tool for molecular mechANism of traditional Chinese medicine
Z Liu, F Guo, Y Wang, C Li, X Zhang, H Li, L Diao… - Scientific reports, 2016 - nature.com
Abstract Traditional Chinese Medicine (TCM), with a history of thousands of years of clinical
practice, is gaining more and more attention and application worldwide. And TCM-based …
practice, is gaining more and more attention and application worldwide. And TCM-based …
DockRMSD: an open-source tool for atom mapping and RMSD calculation of symmetric molecules through graph isomorphism
Abstract Comparison of ligand poses generated by protein–ligand docking programs has
often been carried out with the assumption of direct atomic correspondence between ligand …
often been carried out with the assumption of direct atomic correspondence between ligand …
Evaluation of AutoDock and AutoDock Vina on the CASF-2013 benchmark
T Gaillard - Journal of chemical information and modeling, 2018 - ACS Publications
Computer-aided protein–ligand binding predictions are a valuable help in drug discovery.
Protein–ligand docking programs generally consist of two main components: a scoring …
Protein–ligand docking programs generally consist of two main components: a scoring …
Identification of potent inhibitors of NEK7 protein using a comprehensive computational approach
NIMA related Kinases (NEK7) plays an important role in spindle assembly and mitotic
division of the cell. Over expression of NEK7 leads to the progression of different cancers …
division of the cell. Over expression of NEK7 leads to the progression of different cancers …
Improving protein-ligand docking results with high-throughput molecular dynamics simulations
H Guterres, W Im - Journal of chemical information and modeling, 2020 - ACS Publications
Structure-based virtual screening relies on classical scoring functions that often fail to
reliably discriminate binders from nonbinders. In this work, we present a high-throughput …
reliably discriminate binders from nonbinders. In this work, we present a high-throughput …
Proteome-wide covalent ligand discovery in native biological systems
Small molecules are powerful tools for investigating protein function and can serve as leads
for new therapeutics. Most human proteins, however, lack small-molecule ligands, and …
for new therapeutics. Most human proteins, however, lack small-molecule ligands, and …
Searching molecular structure databases with tandem mass spectra using CSI: FingerID
Metabolites provide a direct functional signature of cellular state. Untargeted metabolomics
experiments usually rely on tandem MS to identify the thousands of compounds in a …
experiments usually rely on tandem MS to identify the thousands of compounds in a …
Advances in molecular quantum chemistry contained in the Q-Chem 4 program package
Y Shao, Z Gan, E Epifanovsky, ATB Gilbert… - Molecular …, 2015 - Taylor & Francis
A summary of the technical advances that are incorporated in the fourth major release of the
q-Chem quantum chemistry program is provided, covering approximately the last seven …
q-Chem quantum chemistry program is provided, covering approximately the last seven …