[HTML][HTML] Binding affinity prediction for protein–ligand complex using deep attention mechanism based on intermolecular interactions

S Seo, J Choi, S Park, J Ahn - BMC bioinformatics, 2021 - Springer
Background Accurate prediction of protein–ligand binding affinity is important for lowering
the overall cost of drug discovery in structure-based drug design. For accurate predictions …

Binding affinity prediction for protein-ligand complex using deep attention mechanism based on intermolecular interactions.

S Seo, J Choi, S Park, J Ahn - BMC Bioinformatics, 2021 - go.gale.com
Background Accurate prediction of protein-ligand binding affinity is important for lowering
the overall cost of drug discovery in structure-based drug design. For accurate predictions …

[HTML][HTML] Binding affinity prediction for protein–ligand complex using deep attention mechanism based on intermolecular interactions

S Seo, J Choi, S Park, J Ahn - BMC …, 2021 - bmcbioinformatics.biomedcentral …
Accurate prediction of protein–ligand binding affinity is important for lowering the overall cost
of drug discovery in structure-based drug design. For accurate predictions, many classical …

Binding affinity prediction for protein–ligand complex using deep attention mechanism based on intermolecular interactions.

S Seo, J Choi, S Park, J Ahn - BMC Bioinformatics, 2021 - search.ebscohost.com
Background: Accurate prediction of protein–ligand binding affinity is important for lowering
the overall cost of drug discovery in structure-based drug design. For accurate predictions …

[PDF][PDF] Binding affinity prediction for protein–ligand complex using deep attention mechanism based on intermolecular interactions

S Seo, J Choi, S Park, J Ahn - 2021 - delab.yonsei.ac.kr
Background Structure-based drug design (SBDD) is widely used for identifying drug
candidates. It includes docking-pose evaluation and estimation of the interaction strength …

Binding affinity prediction for protein-ligand complex using deep attention mechanism based on intermolecular interactions

S Seo, J Choi, S Park, J Ahn - bioRxiv, 2021 - biorxiv.org
Accurate prediction of protein-ligand binding affinity is important in that it can lower the
overall cost of drug discovery in structure-based drug design. For more accurate prediction …

Binding affinity prediction for protein–ligand complex using deep attention mechanism based on intermolecular interactions

S Seo, J Choi, S Park, J Ahn - BMC Bioinformatics, 2021 - search.proquest.com
Background Accurate prediction of protein–ligand binding affinity is important for lowering
the overall cost of drug discovery in structure-based drug design. For accurate predictions …

Binding affinity prediction for protein-ligand complex using deep attention mechanism based on intermolecular interactions

S Seo, J Choi, S Park, J Ahn - BMC bioinformatics, 2021 - pubmed.ncbi.nlm.nih.gov
Background Accurate prediction of protein-ligand binding affinity is important for lowering
the overall cost of drug discovery in structure-based drug design. For accurate predictions …

Binding affinity prediction for protein-ligand complex using deep attention mechanism based on intermolecular interactions.

S Seo, J Choi, S Park, J Ahn - BMC Bioinformatics, 2021 - europepmc.org
Background Accurate prediction of protein-ligand binding affinity is important for lowering
the overall cost of drug discovery in structure-based drug design. For accurate predictions …

Binding affinity prediction for protein–ligand complex using deep attention mechanism based on intermolecular interactions

S Seo, J Choi, S Park, J Ahn - BMC bioinformatics, 2021 - yonsei.elsevierpure.com
Background: Accurate prediction of protein–ligand binding affinity is important for lowering
the overall cost of drug discovery in structure-based drug design. For accurate predictions …