Deep Drug–Target Binding Affinity Prediction Base on Multiple Feature Extraction and Fusion
Zepeng Li +3 more
doaj +1 more source
BA-Pred and RMSD-Pred: Integrated Graph Neural Network Models for Accurate Protein-Ligand Binding Affinity and Binding Pose Prediction. [PDF]
Sim J, Lee J.
europepmc +1 more source
MSCMF-DTB: a multi-scale cross-modal fusion framework for drug-target binding prediction. [PDF]
Huang J, Pan Y, Chen Q.
europepmc +1 more source
Open-Source Molecular Docking and AI-Augmented Structure-Based Drug Design: Current Workflows, Challenges, and Opportunities. [PDF]
Azam F, Almahmoud SA.
europepmc +1 more source
The adaptive immune receptors in a big data world. [PDF]
DeKosky BJ.
europepmc +1 more source
Artificial intelligence-driven discovery of coumarin-based therapeutics: Revolutionizing target identification and validation. [PDF]
Mustafa YF.
europepmc +1 more source
MGF-DTA: A Multi-Granularity Fusion Model for Drug-Target Binding Affinity Prediction. [PDF]
Ni Z, Wei B, Zeng Y.
europepmc +1 more source
DTAP: a unified graph transformer framework for joint prediction of drug-target affinity and docking pose. [PDF]
Liu J, Ding Y, Yan Y, Zheng L, Pan Y.
europepmc +1 more source
MFDR-DTI: Multisource Feature Decoupling and Dual-Level Reorganization Fusion for Accurate Drug-Target Interaction Prediction. [PDF]
Xie D, Yu X, Zeng Y, Dai Q.
europepmc +1 more source
Docking of millions: accelerating a million-scale virtual screening using deep learning. [PDF]
Ha J, Lee J, Ko J, Shin WH.
europepmc +1 more source

