Evaluation of mRNA translatability is of importance in prediction of the gene expression pattern by computer methods and to improve the recognition of mRNAs ...
Evaluation of mRNA translatability is of importance in prediction of the gene expression pattern by computer methods and to improve the recognition of mRNAs ...
Feb 23, 1999 · Abstract. Motivation: It is well known that eukaryotic mRNAs are translated at different levels depending on their sequence characteristics.
Evaluation of mRNA translatability is of importance in prediction of the gene expression pattern by computer methods and to improve the recognition of mRNAs ...
Evaluation of mRNA translatability is of importance in prediction of the gene expression pattern by computer methods and to improve the recognition of mRNAs ...
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Dec 27, 2016 · Translational enhancement and regulation via the closed loop. a Closed loop mRNAs may be more highly translated than linear mRNAs due to higher ...
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Jul 8, 2023 · We developed a deep neural network to directly predict and analyze translation initiation and termination sites from RNA sequences.
Aug 20, 2024 · These differences limit the ability of deep learning models to uncover mechanisms of translation control and to predict the impact of genetic ...
Our results suggest that formation of circular mRNA by translation factors could contribute to the control of mRNA expression in the eukaryotic cell.
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May 18, 2020 · We describe a novel machine-learning based tool, mRNALoc, to predict five sub-cellular locations of eukaryotic mRNAs using cDNA/mRNA sequences.