MMPdb and MitoPredictor: tools for facilitating comparative analysis of animal mitochondrial proteomes

In this study, we developed two resources to address these challenges: 1] the Metazoan Mitochondrial Proteome Database (MMPdb), which consolidates data on experimentally-characterized mitochondrial proteomes of vertebrate and invertebrate model organisms, and 2] MitoPredictor, a novel machine-learning tool for prediction of mitochondrial proteins in animals. MMPdb allows comparative analysis of animal mitochondrial proteomes by integrating results from orthology analysis, prediction of mitochondrial targeting signals, protein domain analysis, and Gene Ontology analysis. Additionally, for mammalian mitochondrial proteins, MMPdb includes experimental evidence of localization from MitoMiner and the Human Protein Atlas. MMPdb is publicly available at https://mmpdb.eeob.iastate.edu/. MitoPredictor is a Random Forest classifier which uses orthology, mitochondrial targeting signal prediction and protein domain content to predict mitochondrial proteins in animals.

Source: Mitochondrion - January 21, 2020 Category: Biochemistry Source Type: research