seq2ribo: Structure-aware integration of machine learning and simulation to predict ribosome location profiles from RNA sequences

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-02-09
DOI
https://doi.org/10.64898/2026.02.08.700508
Primary Topic
RNA and protein synthesis mechanisms
Type
article
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article

seq2ribo: Structure-aware integration of machine learning and simulation to predict ribosome location profiles from RNA sequences

Gün Kaynar
bioRxiv (Cold Spring Harbor Laboratory)
RNA and protein synthesis mechanisms
article

seq2ribo: Structure-aware integration of machine learning and simulation to predict ribosome location profiles from RNA sequences

Gün Kaynar
article en

Abstract

No abstract available for this paper.
bioRxiv (Cold Spring Harbor Laboratory)
Carnegie Mellon University (US)
Reduced inequalities
Openalex Percentile: Top 62%
RNA and protein synthesis mechanisms
DOIOpen Access PDFOpenAlex
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seq2ribo: Structure-aware integration of machine learning and simulation to predict ribosome location profiles from RNA sequences — Gün Kaynar · bioRxiv (Cold Spring Harbor Laboratory) (2026) | TGRS Research Map | TGRS