EuDockScore: Euclidean graph neural networks for scoring protein–protein interfaces

Authors

Matthew McFee (ORCID: https://orcid.org/0000-0003-2112-1402)
Philip M. Kim (ORCID: https://orcid.org/0000-0003-3683-152X)
Jisun Kim (ORCID: https://orcid.org/0000-0001-6884-2042)

Institutions

University of New Brunswick (CA)
University of Toronto (CA)
Canada Research Chairs (CA)
Cellular Research (United States) (US)

Publication Details

Journal: Bioinformatics
Published: 2024-10-21
DOI: https://doi.org/10.1093/bioinformatics/btae636
Citations: 3
Primary Topic: Computational Drug Discovery Methods
Type: article
Field-Weighted Citation Impact: 1.08

Funders

Alliance de recherche numérique du Canada
Canadian Institutes of Health Research

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article

EuDockScore: Euclidean graph neural networks for scoring protein–protein interfaces

Matthew McFee, Philip M. Kim, Jisun Kim

Oct 21, 2024

3 citations

Bioinformatics

Computational Drug Discovery Methods

1.08

article

EuDockScore: Euclidean graph neural networks for scoring protein–protein interfaces

Matthew McFee, Philip M. Kim, Jisun Kim

October 21, 2024article en

3 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 40(11)

University of New Brunswick (CA), University of Toronto (CA), Canada Research Chairs (CA), Cellular Research (United States) (US)

Alliance de recherche numérique du Canada, Canadian Institutes of Health Research

Affordable and clean energy

Openalex Percentile: Top 19%

Computational Drug Discovery Methods

1.08

DOI Open Access PDF OpenAlex

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