DeepTL-Ubi: a novel deep transfer learning method for effectively predicting ubiquitination sites of multiple species.
Sign Up to like & getrecommendations! Published in 2020 at "Methods"
DOI: 10.1016/j.ymeth.2020.08.003
Abstract: Ubiquitination is one of the most important post-translational modifications which involves in many biological processes. Because mass spectrometry-based ubiquitination site identification methods are costly and time consuming, computational approaches provide alternative ways to the determination… read more here.
Keywords: ubiquitination sites; deeptl ubi; sites multiple; multiple species ... See more keywords
ESA‐UbiSite: accurate prediction of human ubiquitination sites by identifying a set of effective negatives
Sign Up to like & getrecommendations! Published in 2017 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btw701
Abstract: Motivation: Numerous ubiquitination sites remain undiscovered because of the limitations of mass spectrometry‐based methods. Existing prediction methods use randomly selected non‐validated sites as non‐ubiquitination sites to train ubiquitination site prediction models. Results: We propose an… read more here.
Keywords: ubiquitination sites; human ubiquitination; esa ubisite; effective negatives ... See more keywords
Prediction of Protein Ubiquitination Sites in Arabidopsis thaliana
Sign Up to like & getrecommendations! Published in 2019 at "Current Bioinformatics"
DOI: 10.2174/1574893614666190311141647
Abstract: As one of the most important reversible protein post-translation modification types, ubiquitination plays a significant role in the regulation of many biological processes, such as cell division, signal transduction, apoptosis and immune response. Protein ubiquitination… read more here.
Keywords: ubiquitination sites; protein ubiquitination; thaliana; prediction ... See more keywords