ArticleInternational journal of molecular sciences2020
In Silico Prediction of the Dissociation Rate Constants of Small Chemical Ligands by 3D-Grid-Based VolSurf Method.
Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Article
- Unveiling Glucosinolate Diversity inAntioxidants (Basel, Switzerland) · 2024Article
- Machine learning methods for developments of binding kinetic models in predicting protein-ligand dissociation rate constants.Smart molecules : open access · 2023Article
- Article
- The Physical Chemistry and Chemical Physics (PCCP) Section of theInternational journal of molecular sciences · 2021Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Accumulated evidence suggests that binding kinetic properties-especially dissociation rate constant or drug-target residence time-are crucial factors affecting drug potency. However, quantitative prediction of kinetic properties has always been a challenging task in drug discovery. In this study, the VolSurf method was successfully applied to quantitatively predict the
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Registered trials
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