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Protein Cargo Assessment through Residue Alterations

Arslan, A.

2020-11-20 bioinformatics
10.1101/2020.11.20.387738 bioRxiv
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MotivationThe transport of proteins plays a crucial role in the cellular phenotype. Changes in the protein targeting sequence can result in missing protein delivery to the right destination and at the right time, and can disrupt various cellular pathways. Given the importance of single residue change(s) in the protein targeting sequence we developed a missing computational method. ResultsBy taking into account various protein features like conservation, protein modifications, charge, isoelectric effect and biochemical properties of peptides, the method, TransSite, assess the impact of mutations on the protein transportation. We applied this method to big human (cancer proteins) and nonhuman data, and discovered, in both cases, several phenotype related proteins harbour recurring mutations in their targeting sequences. Availabilityhttps://github.com/AhmedArslan/TransSite Contactaarslan@staford.edu Supplementary informationSupplementary data are available at # online.

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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.