Extracting Explicable Rules for the Identification of Compound–Protein Interactions
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DOI: 10.1109/access.2020.2984824
Abstract: Compound–protein interaction (CPI) is one of the essential interaction patterns in living organisms. However, its underlying mechanism has not been fully revealed because of its complicated processes. Determining CPIs with traditional experiments can reveal solid… read more here.
Keywords: explicable rules; cpis; extracting explicable; compound ... See more keywords
Effectively Identifying Compound-Protein Interactions by Learning from Positive and Unlabeled Examples.
Sign Up to like & getrecommendations! Published in 2018 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2016.2570211
Abstract: Prediction of compound-protein interactions (CPIs) is to find new compound-protein pairs where a protein is targeted by at least a compound, which is a crucial step in new drug design. Currently, a number of machine… read more here.
Keywords: protein; compound protein; cpis; unlabeled examples ... See more keywords
Real-world clinical and economic outcomes among newly-diagnosed merkel cell carcinoma (MCC) patients initiating first-line (1L) checkpoint inhibitors (CPIs) or chemotherapy (CT) in the veterans health administration (VHA).
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Clinical Oncology"
DOI: 10.1200/jco.2019.37.15_suppl.e21002
Abstract: e21002 Background: The use of CPIs among patients (pts) with metastatic MCC, a rare and aggressive skin cancer, has increased since the US FDA approval of avelumab and the National Cancer Comprehensive Network (NCCN) recommendation… read more here.
Keywords: date; cpis; clinical economic; mcc ... See more keywords