Recognition-driven chemical labeling of endogenous proteins in multi-molecular crowding in live cells.
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DOI: 10.1039/c7cc07177a
Abstract: Endogenous protein labeling is one of the most invaluable methods for studying the bona fide functions of proteins in live cells. However, multi-molecular crowding conditions, such as those that occur in live cells, hamper the… read more here.
Keywords: live cells; multi molecular; recognition; recognition driven ... See more keywords
Trace Determination of Hormones in Peptide Powders Based on Multi-Molecular Infrared Spectroscopic and Multivariate Data Fusion
Sign Up to like & getrecommendations! Published in 2025 at "Journal of the Brazilian Chemical Society"
DOI: 10.21577/0103-5053.20240204
Abstract: A direct, high-throughput and accurate method, multi-molecular infrared spectroscopic (MMIR) data fusion, was established for the detection of trace of estrone, diethylstilbestrol, betamethasone and prednisone acetate in peptide powders based on near-infrared and mid-infrared fusion… read more here.
Keywords: multi molecular; fusion; data fusion; peptide powders ... See more keywords
Prediction of Drug–Target Interactions From Multi-Molecular Network Based on Deep Walk Embedding Model
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Bioengineering and Biotechnology"
DOI: 10.3389/fbioe.2020.00338
Abstract: Predicting drug–target interactions (DTIs) is crucial in innovative drug discovery, drug repositioning and other fields. However, there are many shortcomings for predicting DTIs using traditional biological experimental methods, such as the high-cost, time-consumption, low efficiency,… read more here.
Keywords: deep walk; network; molecular network; multi molecular ... See more keywords