Machine learning methods in prediction of protein palmitoylation sites: A brief review.

Machine learning methods in prediction of protein palmitoylation sites: A brief review.
Curr Pharm Des. 2020 Nov 12;:
Authors: Li Y, Pu F, Wang J, Zhou Z, Zhang C, He F, Ma Z, Zhang J
Abstract
Protein palmitoylation is a fundamental and reversible post-translational lipid modification that involves a series of biological processes. Although a large number of experimental studies have explored the molecular mechanism behind the palmitoylation process, the computational methods has attracted much attention for its good performance in predicting palmitoylation sites compared with expensive and time-consuming biochemical experiments. The prediction of protein palmitoylation sites is helpful to reveal its biological mechanism. Therefore, the research on the application of machine learning methods to predict palmitoylation sites has become a hot topic in bioinformatics and promoted the development in related fields. In this review, we briefly introduced the recent development in predicting protein palmitoylation sites by using machine learning-based methods and discussed their benefits and drawbacks. The perspective of machine learning-based methods in predicting palmitoylation sites was also provided. We hope the review could provide a guide in related fields.
PMID: 33183190 [PubMed - as supplied by publisher]

Source: Current Pharmaceutical Design - November 12, 2020 Category: Drugs & Pharmacology Authors: Li Y, Pu F, Wang J, Zhou Z, Zhang C, He F, Ma Z, Zhang J Tags: Curr Pharm Des Source Type: research