Can machine learning consistently improve the scoring power of classical scoring functions? Insights into the role of machine learning in scoring functions

C Shen, Y Hu, Z Wang, X Zhang, H Zhong… - Briefings in …, 2021 - academic.oup.com
How to accurately estimate protein–ligand binding affinity remains a key challenge in
computer-aided drug design (CADD). In many cases, it has been shown that the binding …
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Can machine learning consistently improve the scoring power of classical scoring functions? Insights into the role of machine learning in scoring functions

C Shen, Y Hu, Z Wang, X Zhang… - Briefings in …, 2021 - pubmed.ncbi.nlm.nih.gov
How to accurately estimate protein-ligand binding affinity remains a key challenge in
computer-aided drug design (CADD). In many cases, it has been shown that the binding …

Can machine learning consistently improve the scoring power of classical scoring functions? Insights into the role of machine learning in scoring functions

C Shen, Y Hu, Z Wang, X Zhang, H Zhong… - Briefings in …, 2021 - academic.oup.com
How to accurately estimate protein–ligand binding affinity remains a key challenge in
computer-aided drug design (CADD). In many cases, it has been shown that the binding …

Can machine learning consistently improve the scoring power of classical scoring functions? Insights into the role of machine learning in scoring functions.

C Shen, Y Hu, Z Wang, X Zhang… - Briefings in …, 2021 - search.ebscohost.com
How to accurately estimate protein–ligand binding affinity remains a key challenge in
computer-aided drug design (CADD). In many cases, it has been shown that the binding …

Can machine learning consistently improve the scoring power of classical scoring functions? Insights into the role of machine learning in scoring functions.

C Shen, Y Hu, Z Wang, X Zhang, H Zhong… - Briefings in …, 2021 - europepmc.org
How to accurately estimate protein-ligand binding affinity remains a key challenge in
computer-aided drug design (CADD). In many cases, it has been shown that the binding …