Machine learning on ligand-residue interaction profiles to significantly improve binding affinity prediction

B Ji, X He, J Zhai, Y Zhang, VH Man… - Briefings in …, 2021 - academic.oup.com
Abstract Structure-based virtual screenings (SBVSs) play an important role in drug discovery
projects. However, it is still a challenge to accurately predict the binding affinity of an …
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[HTML][HTML] Machine learning on ligand-residue interaction profiles to significantly improve binding affinity prediction

B Ji, X He, J Zhai, Y Zhang, VH Man… - Briefings in …, 2021 - ncbi.nlm.nih.gov
Abstract Structure-based virtual screenings (SBVSs) play an important role in drug discovery
projects. However, it is still a challenge to accurately predict the binding affinity of an …

Machine learning on ligand-residue interaction profiles to significantly improve binding affinity prediction

B Ji, X He, J Zhai, Y Zhang… - Briefings in …, 2021 - pubmed.ncbi.nlm.nih.gov
Structure-based virtual screenings (SBVSs) play an important role in drug discovery
projects. However, it is still a challenge to accurately predict the binding affinity of an …

Machine learning on ligand-residue interaction profiles to significantly improve binding affinity prediction.

B Ji, X He, J Zhai, Y Zhang, VH Man… - Briefings in …, 2021 - europepmc.org
Abstract Structure-based virtual screenings (SBVSs) play an important role in drug discovery
projects. However, it is still a challenge to accurately predict the binding affinity of an …

Machine learning on ligand-residue interaction profiles to significantly improve binding affinity prediction

B Ji, X He, J Zhai, Y Zhang… - Briefings in …, 2021 - utsouthwestern.elsevierpure.com
Abstract Structure-based virtual screenings (SBVSs) play an important role in drug discovery
projects. However, it is still a challenge to accurately predict the binding affinity of an …

Machine learning on ligand-residue interaction profiles to significantly improve binding affinity prediction.

B Ji, X He, J Zhai, Y Zhang, VH Man… - Briefings in …, 2021 - search.ebscohost.com
Abstract Structure-based virtual screenings (SBVSs) play an important role in drug discovery
projects. However, it is still a challenge to accurately predict the binding affinity of an …

Machine learning on ligand-residue interaction profiles to significantly improve binding affinity prediction

B Ji, X He, J Zhai, Y Zhang, VH Man… - Briefings in …, 2021 - academic.oup.com
Abstract Structure-based virtual screenings (SBVSs) play an important role in drug discovery
projects. However, it is still a challenge to accurately predict the binding affinity of an …

Machine learning on ligand-residue interaction profiles to significantly improve binding affinity prediction

B Ji, X He, J Zhai, Y Zhang, VH Man, J Wang - Briefings in Bioinformatics, 2021 - par.nsf.gov
Abstract Structure-based virtual screenings (SBVSs) play an important role in drug discovery
projects. However, it is still a challenge to accurately predict the binding affinity of an …