Quantitative model suggests both intrinsic and contextual features contribute to the transcript coding ability determination in cells.
Brief Bioinform
; 23(1)2022 01 17.
Article
en En
| MEDLINE
| ID: mdl-34849565
ABSTRACT
Gene transcription and protein translation are two key steps of the 'central dogma.' It is still a major challenge to quantitatively deconvolute factors contributing to the coding ability of transcripts in mammals. Here, we propose ribosome calculator (RiboCalc) for quantitatively modeling the coding ability of RNAs in human genome. In addition to effectively predicting the experimentally confirmed coding abundance via sequence and transcription features with high accuracy, RiboCalc provides interpretable parameters with biological information. Large-scale analysis further revealed a number of transcripts with a variety of coding ability for distinct types of cells (i.e. context-dependent coding transcripts), suggesting that, contrary to conventional wisdom, a transcript's coding ability should be modeled as a continuous spectrum with a context-dependent nature.
Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Transcripción Genética
/
Biosíntesis de Proteínas
/
ARN
/
Modelos Biológicos
Tipo de estudio:
Prognostic_studies
Límite:
Animals
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Humans
Idioma:
En
Revista:
Brief Bioinform
Asunto de la revista:
BIOLOGIA
/
INFORMATICA MEDICA
Año:
2022
Tipo del documento:
Article
País de afiliación:
China