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Bahar Yilmazel

Researcher at Foundation Medicine

Publications -  11
Citations -  635

Bahar Yilmazel is an academic researcher from Foundation Medicine. The author has contributed to research in topics: Primary Induction Failure & Gene mutation. The author has an hindex of 6, co-authored 10 publications receiving 519 citations. Previous affiliations of Bahar Yilmazel include Northeastern University & Harvard University.

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Controllability analysis of the directed human protein interaction network identifies disease genes and drug targets

TL;DR: It is found that 21% of the proteins in the PPI network are indispensable, Interestingly, these indispensable proteins are the primary targets of disease-causing mutations, human viruses, and drugs, suggesting that altering a network’s control property is critical for the transition between healthy and disease states.
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Integrating protein-protein interaction networks with phenotypes reveals signs of interactions

TL;DR: A computational framework to integrate protein-protein interaction (PPI) networks and genetic screens to predict the 'signs' of interactions and identified an unexpected role for the metabolic enzymes enolase and aldo-keto reductase as positive and negative regulators of proteolysis, respectively.
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Identification of potential drug targets for tuberous sclerosis complex by synthetic screens combining CRISPR-based knockouts with RNAi.

TL;DR: A CRISPR-based method to generate homogeneous mutant Drosophila cell lines is developed and individual knockdown of three candidate genes had similar growth-inhibiting effects in mammalian TSC2-deficient cell lines, illustrating the power of this cross-species screening strategy to identify potential drug targets.
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Online GESS: prediction of miRNA-like off-target effects in large-scale RNAi screen data by seed region analysis.

TL;DR: A user-friendly web application that provides researchers a relatively quick and easy way to perform genome-wide Enrichment of Seed Sequence matches (GESS) analysis on data from human or mouse cell-based screens using short interfering RNAs or short hairpin RNAs, as well as for Drosophila screens using shRNAs.