AIMC Topic: Codon, Initiator

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Using Machine Learning for Predicting the Effect of Mutations in the Initiation Codon.

IEEE journal of biomedical and health informatics Nov 10, 2022
The effect of mutations has been traditionally predicted by studying what may happen due to the substitution of one amino acid for another one. This approach may be effective for mutations with impact in the function of the protein, but ineffective f...
Humans Machine Learning Mutation Codon Codon, Initiator
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Predicting RNA SHAPE scores with deep learning.

RNA biology May 31, 2020
Secondary structure prediction approaches rely typically on models of equilibrium free energies that are themselves based on in vitro physical chemistry. Recent transcriptome-wide experiments of in vivo RNA structure based on SHAPE-MaP experiments pr...
Neural Networks, Computer Deep Learning Computational Biology Models, Molecular RNA Nucleic Acid Conformation RNA Folding Codon, Initiator
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TITER: predicting translation initiation sites by deep learning.

Bioinformatics (Oxford, England) Jul 15, 2017
MOTIVATION: Translation initiation is a key step in the regulation of gene expression. In addition to the annotated translation initiation sites (TISs), the translation process may also start at multiple alternative TISs (including both AUG and non-A...
Humans Neural Networks, Computer Machine Learning Software Animals Mice Computational Biology Models, Genetic Open Reading Frames Peptide Chain Initiation, Translational Codon, Initiator
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