ASPIRER: a new computational approach for identifying non-classical secreted proteins based on deep learning
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac031
Abstract: Protein secretion has a pivotal role in many biological processes and is particularly important for intercellular communication, from the cytoplasm to the host or external environment. Gram-positive bacteria can secrete proteins through multiple secretion pathways.… read more here.
Keywords: deep learning; aspirer new; classical secreted; secretion ... See more keywords
PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins
Sign Up to like & getrecommendations! Published in 2020 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btz629
Abstract: MOTIVATION Gram-positive bacteria have developed secretion systems to transport proteins across their cell wall, a process that plays an important role during host infection. These secretion mechanisms have also been harnessed for therapeutic purposes in… read more here.
Keywords: secretion; ensemble model; gradient boosting; non classical ... See more keywords