MULocDeep Web Service for Protein Localization Prediction and Visualization at Subcellular and Suborganellar Levels

Overview

Journal Nucleic Acids Res

Publisher Oxford University Press

Specialty Biochemistry

Date 2023 May 13

PMID 37178004

Authors

Yuexu Jiang

Lei Jiang

Chopparapu Sai Akhil

Duolin Wang

Ziyang Zhang

Weinan Zhang

Dong Xu

Affiliations

Soon will be listed here.

Abstract

Predicting protein localization and understanding its mechanisms are critical in biology and pathology. In this context, we propose a new web application of MULocDeep with improved performance, result interpretation, and visualization. By transferring the original model into species-specific models, MULocDeep achieved competitive prediction performance at the subcellular level against other state-of-the-art methods. It uniquely provides a comprehensive localization prediction at the suborganellar level. Besides prediction, our web service quantifies the contribution of single amino acids to localization for individual proteins; for a group of proteins, common motifs or potential targeting-related regions can be derived. Furthermore, the visualizations of targeting mechanism analyses can be downloaded for publication-ready figures. The MULocDeep web service is available at https://www.mu-loc.org/.

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