Attention-based approach to predict drug–target interactions across seven target superfamilies

Authors

Tero A. Aittokallio (ORCID: https://orcid.org/0000-0002-0886-9769)
Ziaurrehman Tanoli (ORCID: https://orcid.org/0000-0003-2435-9862)
Juho Rousu (ORCID: https://orcid.org/0000-0002-0705-4314)
Aron Schulman

Institutions

Oslo University Hospital (NO)
University of Helsinki (FI)
University of Oslo (NO)
Helsinki University Hospital (FI)
Biocenter Finland (FI)
Institute for Molecular Medicine Finland (FI)
Cancer Genetics (United States) (US)
Aalto University (FI)

Publication Details

Journal: Bioinformatics
Published: 2024-08-01
DOI: https://doi.org/10.1093/bioinformatics/btae496
Citations: 18
Primary Topic: Computational Drug Discovery Methods
Type: article
Field-Weighted Citation Impact: 6.51

Funders

European Commission
Academy of Finland
Syöpäjärjestöt
HORIZON EUROPE Framework Programme

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article

Attention-based approach to predict drug–target interactions across seven target superfamilies

Tero A. Aittokallio, Ziaurrehman Tanoli, Juho Rousu, Aron Schulman

Aug 1, 2024

18 citations

Bioinformatics

Computational Drug Discovery Methods

6.51

article

Attention-based approach to predict drug–target interactions across seven target superfamilies

Tero A. Aittokallio, Ziaurrehman Tanoli, Juho Rousu, Aron Schulman

August 1, 2024article en

18 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 40(8)

Oslo University Hospital (NO), University of Helsinki (FI), University of Oslo (NO), Helsinki University Hospital (FI), Biocenter Finland (FI), Institute for Molecular Medicine Finland (FI), Cancer Genetics (United States) (US), Aalto University (FI)

European Commission, Academy of Finland, Syöpäjärjestöt, HORIZON EUROPE Framework Programme

Good health and well-being

Openalex Percentile: Top 3%

Computational Drug Discovery Methods

6.51

DOI Open Access PDF OpenAlex

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