Predicting cell line-specific synergistic drug combinations through a relational graph convolutional network with attention mechanism
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac403
Abstract: Identifying synergistic drug combinations (SDCs) is a great challenge due to the combinatorial complexity and the fact that SDC is cell line specific. The existing computational methods either did not consider the cell line specificity… read more here.
Keywords: cell; line specific; drug combinations; cell line ... See more keywords
Assessment of transcriptional importance of cell line-specific features based on GTRD and FANTOM5 data
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DOI: 10.1371/journal.pone.0243332
Abstract: Creating a complete picture of the regulation of transcription seems to be an urgent task of modern biology. Regulation of transcription is a complex process carried out by transcription factors (TFs) and auxiliary proteins. Over… read more here.
Keywords: cell line; line specific; assessment transcriptional; cell ... See more keywords
Strategies to Enhance Logic Modeling-Based Cell Line-Specific Drug Synergy Prediction
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DOI: 10.3389/fphys.2020.00862
Abstract: Discrete dynamical modeling shows promise in prioritizing drug combinations for screening efforts by reducing the experimental workload inherent to the vast numbers of possible drug combinations. We have investigated approaches to predict combination responses across… read more here.
Keywords: cell line; modeling; drug; line specific ... See more keywords
Control of Expression of Key Cell Cycle Enzymes Drives Cell Line-Specific Functions of CDK7 in Human PDAC Cells
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DOI: 10.3390/ijms23020812
Abstract: Inhibition of the dual function cell cycle and transcription kinase CDK7 is known to affect the viability of cancer cells, but the mechanisms underlying cell line-specific growth control remain poorly understood. Here, we employed a… read more here.
Keywords: cell; cell line; control; cell cycle ... See more keywords