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FusionDTA: attention-based feature polymerizer and knowledge distillation for drug-target binding af...

FusionDTA: attention-based feature polymerizer and knowledge distillation for drug-target binding af...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2612392648

FusionDTA: attention-based feature polymerizer and knowledge distillation for drug-target binding affinity prediction

About this item

Full title

FusionDTA: attention-based feature polymerizer and knowledge distillation for drug-target binding affinity prediction

Publisher

England: Oxford University Press

Journal title

Briefings in bioinformatics, 2022-01, Vol.23 (1)

Language

English

Formats

Publication information

Publisher

England: Oxford University Press

More information

Scope and Contents

Contents

Abstract
The prediction of drug-target affinity (DTA) plays an increasingly important role in drug discovery. Nowadays, lots of prediction methods focus on feature encoding of drugs and proteins, but ignore the importance of feature aggregation. However, the increasingly complex encoder networks lead to the loss of implicit information and exces...

Alternative Titles

Full title

FusionDTA: attention-based feature polymerizer and knowledge distillation for drug-target binding affinity prediction

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2612392648

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2612392648

Other Identifiers

ISSN

1467-5463,1477-4054

E-ISSN

1477-4054

DOI

10.1093/bib/bbab506

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