A deep-learning framework for multi-level peptide–protein interaction prediction
Sign Up to like & getrecommendations! Published in 2021 at "Nature Communications"
DOI: 10.1038/s41467-021-25772-4
Abstract: Peptide-protein interactions are involved in various fundamental cellular functions and their identification is crucial for designing efficacious peptide therapeutics. Recently, a number of computational methods have been developed to predict peptide-protein interactions. However, most of… read more here.
Keywords: protein interaction; peptide protein; deep learning; interaction prediction ... See more keywords
WebProfiler: User Interaction Prediction Framework for Web Applications
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2949077
Abstract: User interaction prediction for Web applications is crucial to improve browsing experience. With the prediction, for instance, a browser can prefetch the content to be accessed next reducing long wait times in advance. However, predicting… read more here.
Keywords: web applications; interaction prediction; user interaction; interaction ... See more keywords
LncRRIsearch: A Web Server for lncRNA-RNA Interaction Prediction Integrated With Tissue-Specific Expression and Subcellular Localization Data
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2019.00462
Abstract: Long non-coding RNAs (lncRNAs) play critical roles in various biological processes, but the function of the majority of lncRNAs is still unclear. One approach for estimating a function of a lncRNA is the identification of… read more here.
Keywords: tissue specific; web server; interaction; interaction prediction ... See more keywords