GeneralizedDTA: combining pre-training and multi-task learning to predict drug-target binding affinity for unknown drug discovery

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1471-2105

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: GeneralizedDTA: combining pre-training and multi-task learning to predict drug-target binding affinity for unknown drug discovery ; volume:23 ; number:1 ; day:7 ; month:9 ; year:2022 ; pages:1-17 ; date:12.2022
BMC bioinformatics ; 23, Heft 1 (7.9.2022), 1-17, 12.2022

Creator: Lin, Shaofu
Shi, Chengyu
Chen, Jianhui

Contributor: SpringerLink (Online service)

DOI: 10.1186/s12859-022-04905-6

URN: urn:nbn:de:101:1-2022112421240259152057

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:20 AM CEST

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Lin, Shaofu
Shi, Chengyu
Chen, Jianhui
SpringerLink (Online service)

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MTAF–DTA: multi-type attention fusion network for drug–target affinity prediction

DCGAN-DTA: Predicting drug-target binding affinity with deep convolutional generative adversarial networks

Prediction of drug–target interactions through multi-task learning

Explainable deep drug–target representations for binding affinity prediction

Drug–target affinity prediction with extended graph learning-convolutional networks

DGDTA: dynamic graph attention network for predicting drug–target binding affinity

Sequence-based drug-target affinity prediction using weighted graph neural networks

MFAE: Multilevel Feature Aggregation Enhanced Drug‐Target Affinity Prediction for Drug Repurposing Against Colorectal Cancer

MvGraphDTA: multi-view-based graph deep model for drug-target affinity prediction by introducing the graphs and line graphs

Exploring drug-target interaction networks of illicit drugs

Drug-Online: an online platform for drug-target interaction, affinity, and binding sites identification using deep learning

GEFormerDTA: drug target affinity prediction based on transformer graph for early fusion

MTAF–DTA: multi-type attention fusion network for drug–target affinity prediction

DCGAN-DTA: Predicting drug-target binding affinity with deep convolutional generative adversarial networks

Prediction of drug–target interactions through multi-task learning

Explainable deep drug–target representations for binding affinity prediction

Drug–target affinity prediction with extended graph learning-convolutional networks

DGDTA: dynamic graph attention network for predicting drug–target binding affinity

Sequence-based drug-target affinity prediction using weighted graph neural networks

MFAE: Multilevel Feature Aggregation Enhanced Drug‐Target Affinity Prediction for Drug Repurposing Against Colorectal Cancer

MvGraphDTA: multi-view-based graph deep model for drug-target affinity prediction by introducing the graphs and line graphs

Exploring drug-target interaction networks of illicit drugs

Drug-Online: an online platform for drug-target interaction, affinity, and binding sites identification using deep learning

GEFormerDTA: drug target affinity prediction based on transformer graph for early fusion

MTAF–DTA: multi-type attention fusion network for drug–target affinity prediction

DCGAN-DTA: Predicting drug-target binding affinity with deep convolutional generative adversarial networks

Prediction of drug–target interactions through multi-task learning

Explainable deep drug–target representations for binding affinity prediction

Drug–target affinity prediction with extended graph learning-convolutional networks

DGDTA: dynamic graph attention network for predicting drug–target binding affinity

Sequence-based drug-target affinity prediction using weighted graph neural networks

MFAE: Multilevel Feature Aggregation Enhanced Drug‐Target Affinity Prediction for Drug Repurposing Against Colorectal Cancer

MvGraphDTA: multi-view-based graph deep model for drug-target affinity prediction by introducing the graphs and line graphs

Exploring drug-target interaction networks of illicit drugs

Drug-Online: an online platform for drug-target interaction, affinity, and binding sites identification using deep learning

GEFormerDTA: drug target affinity prediction based on transformer graph for early fusion

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GeneralizedDTA: combining pre-training and multi-task learning to predict drug-target binding affinity for unknown drug discovery

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Other Objects (12)

MTAF–DTA: multi-type attention fusion network for drug–target affinity prediction

DCGAN-DTA: Predicting drug-target binding affinity with deep convolutional generative adversarial networks

Prediction of drug–target interactions through multi-task learning

Explainable deep drug–target representations for binding affinity prediction

Drug–target affinity prediction with extended graph learning-convolutional networks

DGDTA: dynamic graph attention network for predicting drug–target binding affinity

Sequence-based drug-target affinity prediction using weighted graph neural networks

MFAE: Multilevel Feature Aggregation Enhanced Drug‐Target Affinity Prediction for Drug Repurposing Against Colorectal Cancer

MvGraphDTA: multi-view-based graph deep model for drug-target affinity prediction by introducing the graphs and line graphs

Exploring drug-target interaction networks of illicit drugs

Drug-Online: an online platform for drug-target interaction, affinity, and binding sites identification using deep learning

GEFormerDTA: drug target affinity prediction based on transformer graph for early fusion

MTAF–DTA: multi-type attention fusion network for drug–target affinity prediction

DCGAN-DTA: Predicting drug-target binding affinity with deep convolutional generative adversarial networks

Prediction of drug–target interactions through multi-task learning

Explainable deep drug–target representations for binding affinity prediction

Drug–target affinity prediction with extended graph learning-convolutional networks

DGDTA: dynamic graph attention network for predicting drug–target binding affinity

Sequence-based drug-target affinity prediction using weighted graph neural networks

MFAE: Multilevel Feature Aggregation Enhanced Drug‐Target Affinity Prediction for Drug Repurposing Against Colorectal Cancer

MvGraphDTA: multi-view-based graph deep model for drug-target affinity prediction by introducing the graphs and line graphs

Exploring drug-target interaction networks of illicit drugs

Drug-Online: an online platform for drug-target interaction, affinity, and binding sites identification using deep learning

GEFormerDTA: drug target affinity prediction based on transformer graph for early fusion

MTAF–DTA: multi-type attention fusion network for drug–target affinity prediction

DCGAN-DTA: Predicting drug-target binding affinity with deep convolutional generative adversarial networks

Prediction of drug–target interactions through multi-task learning

Explainable deep drug–target representations for binding affinity prediction

Drug–target affinity prediction with extended graph learning-convolutional networks

DGDTA: dynamic graph attention network for predicting drug–target binding affinity

Sequence-based drug-target affinity prediction using weighted graph neural networks

MFAE: Multilevel Feature Aggregation Enhanced Drug‐Target Affinity Prediction for Drug Repurposing Against Colorectal Cancer

MvGraphDTA: multi-view-based graph deep model for drug-target affinity prediction by introducing the graphs and line graphs

Exploring drug-target interaction networks of illicit drugs

Drug-Online: an online platform for drug-target interaction, affinity, and binding sites identification using deep learning

GEFormerDTA: drug target affinity prediction based on transformer graph for early fusion

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