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Published in 2022 at "Journal of medicinal chemistry"
DOI: 10.1021/acs.jmedchem.2c00460
Abstract: Development of accurate machine-learning-based scoring functions (MLSFs) for structure-based virtual screening against a given target requires a large unbiased dataset with structurally diverse actives and decoys. However, most datasets for the development of MLSFs were…
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Keywords:
new approach;
scoring functions;
training benchmarking;
machine learning ... See more keywords