Results 71 to 80 of about 333,304 (136)

DTAP: a unified graph transformer framework for joint prediction of drug-target affinity and docking pose. [PDF]

Brief Bioinform
Liu J, Ding Y, Yan Y, Zheng L, Pan Y.
europepmc   +1 more source

Correction to: Breaking the barriers of data scarcity in drug-target affinity prediction. [PDF]

Brief Bioinform, 2023
europepmc   +1 more source

MixingDTA: improved drug-target affinity prediction by extending mixup with guilt-by-association. [PDF]

Bioinformatics
Kim Y, Bang D, Koo B, Yi J, Cho C, Choi J, Kim S.   +6 more
europepmc   +1 more source

UAMRL: multi-granularity uncertainty-aware multimodal representation learning for drug-target affinity prediction. [PDF]

Bioinformatics
Xu W, Liu X, Wang J, Zhang F, Hu D, Zong L.   +5 more
europepmc   +1 more source

DualPG-DTA: A Large Language Model-Powered Graph Neural Network Framework for Enhanced Drug-Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting In Vivo Anti-Leukemia Activity. [PDF]

Adv Sci (Weinh)
Chen Y, Huang J, Liu C, Zhang S, Li X, Zhang Z, Chen TG, Wang L.   +7 more
europepmc   +1 more source

MEGDTA: multi-modal drug-target affinity prediction based on protein three-dimensional structure and ensemble graph neural network. [PDF]

BMC Genomics
Hou Z, Li Y, Zhai H, Luo J, Ding Y, Pan Y.   +5 more
europepmc   +1 more source

Dual modality feature fused neural network integrating binding site information for drug target affinity prediction. [PDF]

NPJ Digit Med
He H, Chen G, Tang Z, Chen CY.
europepmc   +1 more source

Drug target affinity prediction based on multi-scale gated power graph and multi-head linear attention mechanism. [PDF]

PLoS One
Hu S, Hu J, Zhang X, Jin S, Xu X.
europepmc   +1 more source

PocketDTA: an advanced multimodal architecture for enhanced prediction of drug-target affinity from 3D structural data of target binding pockets. [PDF]

Bioinformatics
Zhao L, Wang H, Shi S.
europepmc   +1 more source

Machine Learning approach for Drug-Target affinity prediction in Computer Aided Drug Design

, 2023
Dani NJ, Deshmukh NK, Kadam PA, Nayak SK.   +3 more
europepmc   +1 more source