Artificial intelligence guided discovery of a barrier-protective therapy in inflammatory bowel disease

Traditional drug discovery process use differential, Bayesian and other network based approaches. We developed a Boolean approach for building disease maps and prioritizing pre-clinical models to discover a first-in-class therapy to restore and protect the leaky gut barrier in inflammatory bowel dis...

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Autores principales:	Debashis Sahoo, Lee Swanson, Ibrahim M. Sayed, Gajanan D. Katkar, Stella-Rita Ibeawuchi, Yash Mittal, Rama F. Pranadinata, Courtney Tindle, Mackenzie Fuller, Dominik L. Stec, John T. Chang, William J. Sandborn, Soumita Das, Pradipta Ghosh
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/d3b3157a040445e7931fa319037c2287
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spelling	oai:doaj.org-article:d3b3157a040445e7931fa319037c22872021-12-02T17:01:29ZArtificial intelligence guided discovery of a barrier-protective therapy in inflammatory bowel disease10.1038/s41467-021-24470-52041-1723https://doaj.org/article/d3b3157a040445e7931fa319037c22872021-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-24470-5https://doaj.org/toc/2041-1723Traditional drug discovery process use differential, Bayesian and other network based approaches. We developed a Boolean approach for building disease maps and prioritizing pre-clinical models to discover a first-in-class therapy to restore and protect the leaky gut barrier in inflammatory bowel disease.Debashis SahooLee SwansonIbrahim M. SayedGajanan D. KatkarStella-Rita IbeawuchiYash MittalRama F. PranadinataCourtney TindleMackenzie FullerDominik L. StecJohn T. ChangWilliam J. SandbornSoumita DasPradipta GhoshNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Debashis Sahoo Lee Swanson Ibrahim M. Sayed Gajanan D. Katkar Stella-Rita Ibeawuchi Yash Mittal Rama F. Pranadinata Courtney Tindle Mackenzie Fuller Dominik L. Stec John T. Chang William J. Sandborn Soumita Das Pradipta Ghosh Artificial intelligence guided discovery of a barrier-protective therapy in inflammatory bowel disease
description	Traditional drug discovery process use differential, Bayesian and other network based approaches. We developed a Boolean approach for building disease maps and prioritizing pre-clinical models to discover a first-in-class therapy to restore and protect the leaky gut barrier in inflammatory bowel disease.
format	article
author	Debashis Sahoo Lee Swanson Ibrahim M. Sayed Gajanan D. Katkar Stella-Rita Ibeawuchi Yash Mittal Rama F. Pranadinata Courtney Tindle Mackenzie Fuller Dominik L. Stec John T. Chang William J. Sandborn Soumita Das Pradipta Ghosh
author_facet	Debashis Sahoo Lee Swanson Ibrahim M. Sayed Gajanan D. Katkar Stella-Rita Ibeawuchi Yash Mittal Rama F. Pranadinata Courtney Tindle Mackenzie Fuller Dominik L. Stec John T. Chang William J. Sandborn Soumita Das Pradipta Ghosh
author_sort	Debashis Sahoo
title	Artificial intelligence guided discovery of a barrier-protective therapy in inflammatory bowel disease
title_short	Artificial intelligence guided discovery of a barrier-protective therapy in inflammatory bowel disease
title_full	Artificial intelligence guided discovery of a barrier-protective therapy in inflammatory bowel disease
title_fullStr	Artificial intelligence guided discovery of a barrier-protective therapy in inflammatory bowel disease
title_full_unstemmed	Artificial intelligence guided discovery of a barrier-protective therapy in inflammatory bowel disease
title_sort	artificial intelligence guided discovery of a barrier-protective therapy in inflammatory bowel disease
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d3b3157a040445e7931fa319037c2287
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Artificial intelligence guided discovery of a barrier-protective therapy in inflammatory bowel disease

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