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In order to study the co-evolution between proteins and transcripts, we combined mRNA localization data and protein functions and developed a method to predict the mutual interactions between proteins and their preferred associated mRNAs. We identified a set of residues in human proteins and their preferred mRNAs. We then hypothesized that evolution of the preferred codon is a powerful driving force in the co-evolution between proteins and their associated mRNAs. Accordingly, we sought to identify the preferred codon associated with each residue. We applied the suggested approach to seven protein families and identified the preferred codon. Then, we tested whether our approach could improve the accuracy of predicting residue pairs that are co-evolving. The results showed that co-evolution-based predictions were better than contact-based predictions. Protein-mRNA pairs that predicted a positive co-evolutionary relationship with a predicted accuracy of >50% usually had higher identity. The prediction accuracy was particularly high for pairs with Press release
New families demand creation of new gene-disease databases
GeneTests.org collection of gene-disease data sets includes more than 20,000 cases
July 13, 2013
Amsterdam, the Netherlands — A well-documented gene-disease database may help to provide answers to more than 10 million
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