Additional file 1 of A comprehensive comparison of deep learning-based compound-target interaction prediction models to unveil guiding design principles

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Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.27322741
Primary Topic
Contemporary Sociological Theory and Practice
Type
article
Field-Weighted Citation Impact
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article

Additional file 1 of A comprehensive comparison of deep learning-based compound-target interaction prediction models to unveil guiding design principles

Figshare
Contemporary Sociological Theory and Practice
article

Additional file 1 of A comprehensive comparison of deep learning-based compound-target interaction prediction models to unveil guiding design principles

article en

Abstract

No abstract available for this paper.
Figshare
Universität Hamburg (DE), University Medical Center Hamburg-Eppendorf (DE)
Openalex Percentile: Top 42%
Contemporary Sociological Theory and Practice
DOIOpen Access PDFOpenAlex
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Additional file 1 of A comprehensive comparison of deep learning-based compound-target interaction prediction models to unveil guiding design principles · Figshare (2025) | TGRS Research Map | TGRS