Unknown

Dataset Information

0

Sequence-based prediction of protein-protein interactions by means of codon usage.


ABSTRACT: We introduce a novel approach to predict interaction of two proteins solely by analyzing their coding sequences. We found that similarity in codon usage is a strong predictor of protein-protein interactions and, for high specificity values, is as sensitive as the most powerful current prediction methods. Furthermore, combining codon usage with other predictors results in a 75% increase in sensitivity at a precision of 50%, compared to prediction without considering codon usage.

SUBMITTER: Najafabadi HS 

PROVIDER: S-EPMC2441473 | biostudies-literature | 2008

REPOSITORIES: biostudies-literature

altmetric image

Publications

Sequence-based prediction of protein-protein interactions by means of codon usage.

Najafabadi Hamed Shateri HS   Salavati Reza R  

Genome biology 20080523 5


We introduce a novel approach to predict interaction of two proteins solely by analyzing their coding sequences. We found that similarity in codon usage is a strong predictor of protein-protein interactions and, for high specificity values, is as sensitive as the most powerful current prediction methods. Furthermore, combining codon usage with other predictors results in a 75% increase in sensitivity at a precision of 50%, compared to prediction without considering codon usage. ...[more]

Similar Datasets

| S-EPMC3896713 | biostudies-literature
| S-EPMC7739459 | biostudies-literature
| S-EPMC3705913 | biostudies-literature
| S-EPMC6045634 | biostudies-literature
| S-EPMC4257736 | biostudies-literature
| S-EPMC6423278 | biostudies-other
| S-EPMC1526732 | biostudies-literature
| S-EPMC6961065 | biostudies-literature
| S-EPMC2839124 | biostudies-literature
| S-EPMC8613526 | biostudies-literature