Výsledky vyhledávání - "Yuri Pevzner"

Akademický článek

Virtual target screening to rapidly identify potential protein targets of natural products in drug discovery

Autor: Yuri Pevzner, Daniel N. Santiago, Jacqueline L. von Salm, Rainer S. Metcalf, Kenyon G. Daniel, Laurent Calcul, H. Lee Woodcock, Bill J. Baker, Wayne C. Guida, Wesley H. Brooks

Publikováno v: AIMS Molecular Science, Vol 1, Iss 2, Pp 81-98 (2015)

Inherent biological viability and diversity of natural products make them a potentially rich source for new therapeutics. However, identification of bioactive compounds with desired therapeutic effects and identification of their protein targets is a

Externí odkaz: https://doaj.org/article/8ec3a427478349328481da3736dbdd20

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Akademický článek

Web-based computational chemistry education with CHARMMing I: Lessons and tutorial.

Autor: Benjamin T Miller, Rishi P Singh, Vinushka Schalk, Yuri Pevzner, Jingjun Sun, Carrie S Miller, Stefan Boresch, Toshiko Ichiye, Bernard R Brooks, H Lee Woodcock

Publikováno v: PLoS Computational Biology, Vol 10, Iss 7, p e1003719 (2014)

This article describes the development, implementation, and use of web-based "lessons" to introduce students and other newcomers to computer simulations of biological macromolecules. These lessons, i.e., interactive step-by-step instructions for perf

Externí odkaz: https://doaj.org/article/935989558a1943f4a9b1b42de82854d2

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Akademický článek

Transforming growth factor β signaling overcomes dasatinib resistance in lung cancer.

Autor: Edna Gordian, Jiannong Li, Yuri Pevzner, Melanie Mediavilla-Varela, Kimberly Luddy, Kim Ohaegbulam, Kenyon G Daniel, Eric B Haura, Teresita Muñoz-Antonia

Publikováno v: PLoS ONE, Vol 9, Iss 12, p e114131 (2014)

Lung cancer is the second most common cancer and the leading cause of cancer-related deaths. Despite recent advances in the development of targeted therapies, patients with advanced disease remain incurable, mostly because metastatic non-small cell l

Externí odkaz: https://doaj.org/article/7e42a4b873b24b1bab2cc7677f01f5d9

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Identifying Biomolecular Targets of the Anticancer Vitamin-E-δ-Tocotrienol Using a Computational Approach: Virtual Target Screening

Autor: Wesley H. Brooks, Yuri Pevzner, Elza Pevzner, Kenyon G. Daniel, Wayne C. Guida, Mokenge P. Malafa

Publikováno v: Clinical Oncology and Research. :1-8

In recent years, evidence has mounted that a particular form of vitamin E (its δ-tocotrienol variant) may have cellular functions beyond that of an antioxidant, a role commonly ascribed to the tocotrienol class of compounds. In particular, numerous

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::545ffa80cd8b691e4df94d820bfea0e1
https://doi.org/10.31487/j.cor.2020.08.12

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SAVI, in silico generation of billions of easily synthesizable compounds through expert-system type rules

Autor: Wolf-Dietrich Ihlenfeldt, Nadya I. Tarasova, Hitesh Patel, Marc C. Nicklaus, Yurii S. Moroz, Victorien Delannée, Megan L. Peach, Philip N. Judson, Yuri Pevzner

Publikováno v: Scientific Data, Vol 7, Iss 1, Pp 1-14 (2020)
Scientific Data

We have made available a database of over 1 billion compounds predicted to be easily synthesizable, called Synthetically Accessible Virtual Inventory (SAVI). They have been created by a set of transforms based on an adaptation and extension of the CH

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6534e76730e0b5c59f9364b651eb118c
http://link.springer.com/article/10.1038/s41597-020-00727-4

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Synthetically Accessible Virtual Inventory (SAVI)

Autor: Nadya I. Tarasova, Megan L. Peach, Marc C. Nicklaus, Yurii S. Moroz, Wolf-Dietrich Ihlenfeldt, Philip N. Judson, Hitesh Patel, Yuri Pevzner

We have made available a database of over 1 billion compounds predicted to be easily synthesizable. They have been created by a set of transforms based on an adaptation and extension of the CHMTRN/PATRAN programming languages describing chemical synt

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::34e1357eea7c1562ec666b127d2caa5d
https://doi.org/10.26434/chemrxiv.12185559.v1

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Synthetically Accessible Virtual Inventory (SAVI)

Autor: Marc Nicklaus, Nadya Tarasova, Megan Peach, Yuri Pevzner, Yurii S. Moroz, Philip Judson, Wolf Ihlenfeldt, Hitesh Patel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fd7a300062a3bae36189a60c4c50ae63
https://doi.org/10.26434/chemrxiv.12185559

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Virtual target screening to rapidly identify potential protein targets of natural products in drug discovery

Autor: Wayne C. Guida, Wesley H. Brooks, H. Lee Woodcock, Jacqueline L. von Salm, Rainer Metcalf, Daniel N. Santiago, Bill J. Baker, Laurent Calcul, Kenyon G. Daniel, Yuri Pevzner

Publikováno v: AIMS Molecular Science, Vol 1, Iss 2, Pp 81-98 (2015)
AIMS Molecular Science, Vol 1, Iss 2, Pp 81-98 (2014)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc17aa46f51785534e74de830e5ba655
http://www.aimspress.com/article/10.3934/molsci.2014.2.81/fulltext.html

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Recent advances in proteasome inhibitor discovery

Autor: Desiree Sagaro, Rainer Metcalf, Melanie Kantor, Yuri Pevzner, Kenyon G. Daniel

Publikováno v: Expert Opinion on Drug Discovery. 8:537-568

Proteasome inhibition is a quickly advancing subject of research and has a significant potential to become a potent therapeutic modality for many diseases and disorders. The aim of this review is to present the reader with the variety of approaches t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2b5689c76ac4de68b74883f5ff9612d
https://doi.org/10.1517/17460441.2013.780020

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