Výsledky vyhledávání - "Stephen Cleaver"

Causal Network Models for Predicting Compound Targets and Driving Pathways in Cancer

Autor: Jeremy L. Jenkins, Savina Jaeger, Florian Nigsch, Alan Buckler, Janna Hutz, Stephen Cleaver, Miguel Luiz Camargo, Junxia Min, Allen Cornett

Publikováno v: SLAS Discovery. 19:791-802

Gene-expression data are often used to infer pathways regulating transcriptional responses. For example, differentially expressed genes (DEGs) induced by compound treatment can help characterize hits from phenotypic screens, either by correlation wit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::daf135e95dee56b943b22a0a4b095193
https://doi.org/10.1177/1087057114522690

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Use of Ligand Based Models for Protein Domains To Predict Novel Molecular Targets and Applications To Triage Affinity Chromatography Data

Autor: Meir Glick, Ivan Cornella-Taracido, Stephen Marshall, Edmund Harrington, Dmitri Mikhailov, Stephen Cleaver, Josef Scheiber, John A. Tallarico, Andreas Bender, John W. Davies, Jeremy L. Jenkins

Publikováno v: Journal of Proteome Research. 8:2575-2585

The elucidation of drug targets is important both to optimize desired compound action and to understand drug side-effects. In this study, we created statistical models which link chemical substructures of ligands to protein domains in a probabilistic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e95b196c4b2c544b024d20ce3fc3433
https://doi.org/10.1021/pr900107z

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Activation of a Metabolic Gene Regulatory Network Downstream of mTOR Complex 1

Autor: Jessica L. Yecies, Brendan D. Manning, Suchithra Menon, Pichai Raman, Clary B. Clish, Katrin Düvel, Regina Gorski, Stephen Cleaver, Qicheng Ma, Amanda Souza, Alex Lipovsky, Leon Murphy, Ellen Triantafellow, Peter Finan, Jeffrey P. MacKeigan, Matthew G. Vander Heiden

Publikováno v: PMC

Aberrant activation of the mammalian target of rapamycin complex 1 (mTORC1) is a common molecular event in a variety of pathological settings, including genetic tumor syndromes, cancer, and obesity. However, the cell-intrinsic consequences of mTORC1

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26689ea5eaed007cd215619906b22f1a
http://hdl.handle.net/1721.1/116937

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Akademický článek

Use of Ligand Based Models for Protein Domains To Predict Novel Molecular Targets and Applications To Triage Affinity Chromatography Data.

Autor: Andreas Bender, Dmitri Mikhailov, Meir Glick, Josef Scheiber, John W. Davies, Stephen Cleaver, Stephen Marshall, John A. Tallarico, Edmund Harrington, Ivan Cornella-Taracido, Jeremy L. Jenkins

Publikováno v: Journal of Proteome Research; May2009, Vol. 8 Issue 5, p2575-2585, 11p

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