Predictive biophysical modeling and understanding of the dynamics of mRNA translation and its evolution

Hadas Zur, Tamir Tuller

Research output: Contribution to journalArticlepeer-review

Abstract

mRNA translation is the fundamental process of decoding the information encoded in mRNA molecules by the ribosome for the synthesis of proteins. The centrality of this process in various biomedical disciplines such as cell biology, evolution and biotechnology, encouraged the development of dozens of mathematical and computational models of translation in recent years. These models aimed at capturing various biophysical aspects of the process. The objective of this review is to survey these models, focusing on those based and/or validated on real large-scale genomic data. We consider aspects such as the complexity of the models, the biophysical aspects they regard and the predictions they may provide. Furthermore, we survey the central systems biology discoveries reported on their basis. This review demonstrates the fundamental advantages of employing computational biophysical translation models in general, and discusses the relative advantages of the different approaches and the challenges in the field.

Original languageEnglish
Pages (from-to)9031-9049
Number of pages19
JournalNucleic Acids Research
Volume44
Issue number19
DOIs
StatePublished - 2 Nov 2016

Fingerprint

Dive into the research topics of 'Predictive biophysical modeling and understanding of the dynamics of mRNA translation and its evolution'. Together they form a unique fingerprint.

Cite this