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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…
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Keywords:
protein interaction;
peptide protein;
deep learning;
interaction prediction ... See more keywords
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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…
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Keywords:
web applications;
interaction prediction;
user interaction;
interaction ... See more keywords
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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…
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Keywords:
tissue specific;
web server;
interaction;
interaction prediction ... See more keywords