Ontology highlight
ABSTRACT: Motivation
Current covalent docking tools have limitations that make them difficult to use for performing large-scale structure-based covalent virtual screening (VS). They require time-consuming tasks for the preparation of proteins and compounds (standardization, filtering according to the type of warheads), as well as for setting up covalent reactions. We have developed a toolkit to help accelerate drug discovery projects in the phases of hit identification by VS of ultra-large covalent libraries and hit expansion by exploration of the binding of known covalent compounds. With this application note, we offer the community a toolkit for performing automated covalent docking in a fast and efficient way. Results
The toolkit comprises a KNIME workflow for ligand pr
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PROVIDER: S-EPMC9722222 | biostudies-literature | 2022 Jan
REPOSITORIES: biostudies-literature