Machine learning classification can reduce false positives in structure-based virtual screening

YO Adeshina, EJ Deeds… - Proceedings of the …, 2020 - National Acad Sciences
With the recent explosion in the size of libraries available for screening, virtual screening is
positioned to assume a more prominent role in early drug discovery's search for active …

[PDF][PDF] Machine learning classification can reduce false positives in structure-based virtual screening

Y Adeshina, E Deeds, J Karanicolas - scholar.archive.org
With the recent explosion in the size of libraries available for screening, virtual screening is
positioned to assume a more prominent role in early drug discovery's search for active …

Machine learning classification can reduce false positives in structure-based virtual screening

Y Adeshina, E Deeds, J Karanicolas - bioRxiv, 2020 - biorxiv.org
With the recent explosion in the size of libraries available for screening, virtual screening is
positioned to assume a more prominent role in early drug discovery's search for active …

Machine learning classification can reduce false positives in structure-based virtual screening

YO Adeshina, EJ Deeds… - Proceedings of the …, 2020 - ui.adsabs.harvard.edu
Many potential drug targets have been identified, but development of chemical probes to
validate these targets has lagged behind. Computational screening holds promise for …

[HTML][HTML] Machine learning classification can reduce false positives in structure-based virtual screening

YO Adeshina, EJ Deeds… - Proceedings of the …, 2020 - ncbi.nlm.nih.gov
Results Developing a Challenging Training Set. Machine learning methods at varying levels
of sophistication have long been considered in the context of structure-based virtual …

Machine learning classification can reduce false positives in structure-based virtual screening.

YO Adeshina, EJ Deeds… - Proceedings of the …, 2020 - europepmc.org
With the recent explosion in the size of libraries available for screening, virtual screening is
positioned to assume a more prominent role in early drug discovery's search for active …

Machine learning classification can reduce false positives in structure-based virtual screening

YO Adeshina, EJ Deeds… - Proceedings of the …, 2020 - pubmed.ncbi.nlm.nih.gov
With the recent explosion in the size of libraries available for screening, virtual screening is
positioned to assume a more prominent role in early drug discovery's search for active …

[PDF][PDF] Machine learning classification can reduce false positives in structure-based virtual screening

Y Adeshina, E Deeds, J Karanicolas - academia.edu
Advances in biomedical sciences, driven especially by the advent of next-generation
genome sequencing technologies, have enabled discovery of many new potential drug …

Machine learning classification can reduce false positives in structure-based virtual screening

YO Adeshina, EJ Deeds, J Karanicolas - Proceedings of the National …, 2020 - par.nsf.gov
With the recent explosion in the size of libraries available for screening, virtual screening is
positioned to assume a more prominent role in early drug discovery's search for active …

Machine learning classification can reduce false positives in structure-based virtual screening

YO Adeshina, EJ Deeds, J Karanicolas - … Academy of Sciences of the United …, 2020 - JSTOR
With the recent explosion in the size of libraries available for screening, virtual screening is
positioned to assume a more prominent role in early drug discovery's search for active …