Pattern to Knowledge: Deep Knowledge-Directed Machine Learning for Residue-Residue Interaction Prediction
Sign Up to like & getrecommendations! Published in 2018 at "Scientific Reports"
DOI: 10.1038/s41598-018-32834-z
Abstract: Residue-residue close contact (R2R-C) data procured from three-dimensional protein-protein interaction (PPI) experiments is currently used for predicting residue-residue interaction (R2R-I) in PPI. However, due to complex physiochemical environments, R2R-I incidences, facilitated by multiple factors, are… read more here.
Keywords: residue interaction; knowledge; r2r; deep knowledge ... See more keywords
Spatial covariance analysis reveals the residue-by-residue thermodynamic contribution of variation to the CFTR fold.
Sign Up to like & getrecommendations! Published in 2022 at "Communications biology"
DOI: 10.1038/s42003-022-03302-2
Abstract: Although the impact of genome variation on the thermodynamic properties of function on the protein fold has been studied in vitro, it remains a challenge to assign these relationships across the entire polypeptide sequence in… read more here.
Keywords: biology; cftr fold; variation; residue residue ... See more keywords
HDIContact: a novel predictor of residue-residue contacts on hetero-dimer interfaces via sequential information and transfer learning strategy
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac169
Abstract: Proteins maintain the functional order of cell in life by interacting with other proteins. Determination of protein complex structural information gives biological insights for the research of diseases and drugs. Recently, a breakthrough has been… read more here.
Keywords: information; residue contacts; contacts hetero; hdicontact ... See more keywords