ProtPen CombinesSequence- and Structure-based Approachesto Facilitate Protein Function Predictions on a Proteome-wide Scale

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Publication Details

Journal
Journal of Proteome Research
Published
2026-08-14
DOI
https://doi.org/10.1021/acs.jproteome.6c00074
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
0.00

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article

ProtPen CombinesSequence- and Structure-based Approachesto Facilitate Protein Function Predictions on a Proteome-wide Scale

Stefan Schulze, Diya Mathai
Journal of Proteome Research
Machine Learning in Bioinformatics
article

ProtPen CombinesSequence- and Structure-based Approachesto Facilitate Protein Function Predictions on a Proteome-wide Scale

Stefan Schulze, Diya Mathai
article en

Abstract

No abstract available for this paper.
Journal of Proteome Research
Rochester Institute of Technology (US)
National Institutes of Health, National Institute of General Medical Sciences
Openalex Percentile: Top 31%
Machine Learning in Bioinformatics
DOIOpen Access PDFOpenAlex
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ProtPen CombinesSequence- and Structure-based Approachesto Facilitate Protein Function Predictions on a Proteome-wide Scale — Stefan Schulze, Diya Mathai · Journal of Proteome Research (2026) | TGRS Research Map | TGRS