MEGADOCK-Web-Mito: human mitochondrial protein-protein interaction prediction database

TL;DR

The paper introduces MEGADOCK-Web-Mito, a comprehensive database of predicted human mitochondrial protein-protein interactions, linking functional annotations to aid mitochondrial research and disease understanding.

Contribution

It presents a new specialized database that compiles exhaustive PPI predictions for human mitochondrial proteins, integrating functional annotations for research support.

Findings

Includes prediction results for 654 mitochondrial proteins

Enables efficient search of PPI predictions

Links functional annotations to mitochondrial proteins

Abstract

Mitochondrial diseases are largely caused by dysfunction in mitochondrial proteins. However, annotations of human mitochondrial proteins are scattered across various public databases and individual studies. To facilitate research aimed at elucidating mitochondrial functions, we constructed the MEGADOCK-Web-Mito database as a protein-protein interaction (PPI) prediction data archive, including prediction results for exhaustive protein pairs of 654 mitochondria-related human proteins. MEGADOCK-Web-Mito enables users to search for all PPI prediction results efficiently and comprehensively. In particular, we linked functional annotations to each human mitochondrial protein. The comprehensive and specialized human mitochondrial PPI prediction results and searching function of MEGADOCK-Web-Mito will support further research on mitochondria and mitochondrial diseases.