Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Stephen J Capuzzi"'
Autor:
David H Drewry, Carrow I Wells, David M Andrews, Richard Angell, Hassan Al-Ali, Alison D Axtman, Stephen J Capuzzi, Jonathan M Elkins, Peter Ettmayer, Mathias Frederiksen, Opher Gileadi, Nathanael Gray, Alice Hooper, Stefan Knapp, Stefan Laufer, Ulrich Luecking, Michael Michaelides, Susanne Müller, Eugene Muratov, R Aldrin Denny, Kumar S Saikatendu, Daniel K Treiber, William J Zuercher, Timothy M Willson
Publikováno v:
PLoS ONE, Vol 12, Iss 8, p e0181585 (2017)
Protein kinases are highly tractable targets for drug discovery. However, the biological function and therapeutic potential of the majority of the 500+ human protein kinases remains unknown. We have developed physical and virtual collections of small
Externí odkaz:
https://doaj.org/article/ca1842e46c3c4d9282fcf8bc425a50a8
Publikováno v:
Frontiers in Environmental Science, Vol 4 (2016)
The ability to determine which environmental chemicals pose the greatest potential threats to human health remains one of the major concerns in regulatory toxicology. Computation methods that can accurately predict the chemicals’ toxic potential in
Externí odkaz:
https://doaj.org/article/bc2af576eed0421cad41c23a9dfb63f3
Autor:
Daniel Korn, Andrew J. Thieme, Vinicius M. Alves, Michael Yeakey, Joyce V.V.B. Borba, Stephen J. Capuzzi, Karamarie Fecho, Chris Bizon, Stephen W. Edwards, Rada Chirkova, Christine M. Colvis, Noel T. Southall, Christopher P. Austin, Eugene N. Muratov, Alexander Tropsha
Publikováno v:
Drug Discovery Today. 27:1671-1678
Here, we propose a broad concept of 'Clinical Outcome Pathways' (COPs), which are defined as a series of key molecular and cellular events that underlie therapeutic effects of drug molecules. We formalize COPs as a chain of the following events: mole
Autor:
Daniel Korn, Anthony J. Hickey, Stephen J. Capuzzi, Rada Chirkova, Sean Ekins, Andrew Thieme, Nancy C. Baker, Alexander Tropsha, Vinicius M. Alves, Vera Pervitsky, Eugene N. Muratov
Publikováno v:
Drug Discov Today
The conventional drug discovery pipeline has proven to be unsustainable for rare diseases. Herein, we discuss recent advances in biomedical knowledge mining applied to discovering therapeutics for rare diseases. We summarize current chemogenomics dat
Autor:
Kuo Hsiung Lee, Kan-Yen Hsieh, Masuo Goto, Kang-Po Li, Stephen J. Capuzzi, Jizhen Li, Ying-Chao Zhang, Pei Ling Hsu, Susan L. Morris-Natschke, Ling-Chu Chang
Publikováno v:
Bioorganic & Medicinal Chemistry. 27:2871-2882
Betulinic acid (BA), a pentacyclic triterpenoid, exhibits broad spectrum antiproliferative activity, but generally with only modest potency. To improve BA’s pharmacological properties, fluorine was introduced as a single atom at C-2, creating two d
Autor:
David H. Drewry, Carrow I. Wells, James M. Bennett, Daniel J. Crona, Chad Torrice, Michael P. East, Christopher R. M. Asquith, Timothy M. Willson, Stephen J. Capuzzi, Oleg Fedorov, H. Shelton Earp, Jonathan M. Elkins, Susanne Müller, Benedict-Tilman Berger, William J. Zuercher, Debra Hunter, P.H.C. Godoi, Stefan Knapp, Jing Wan
Publikováno v:
Journal of Medicinal Chemistry. 62:2830-2836
We describe SGC-GAK-1 (11), a potent, selective, and cell-active inhibitor of cyclin G-associated kinase (GAK), together with a structurally related negative control SGC-GAK-1N (14). 11 was highly selective in an in vitro kinome-wide screen, but cell
Autor:
Tyler Peryea, Ahsan Habib Polash, Alessandra Roncaglioni, Daniel M. Wilson, Warren Casey, Patricia Ruiz, Nathalie Alépée, Sherif Farag, Giovanna J. Lavado, Kimberley M. Zorn, Alexey V. Zakharov, Davide Ballabio, Katrina M. Waters, Risa Sayre, Giuseppe Felice Mangiatordi, Orazio Nicolotti, Nicole Kleinstreuer, Pankaj R. Daga, Sean Ekins, Kamel Mansouri, Liguo Wang, Judy Strickland, Matthew J. Hirn, Sudin Bhattacharya, Dac-Trung Nguyen, Emilio Benfenati, Ignacio J. Tripodi, Amanda K. Parks, Garett Goh, Dennis G. Thomas, Glenn J. Myatt, Prachi Pradeep, Gergely Zahoranszky-Kohalmi, Anton Simeonov, Arthur C. Silva, Grace Patlewicz, Timothy Sheils, Stephen Boyd, Agnes L. Karmaus, Ahmed Sayed, Alex M. Clark, Todd M. Martin, Pavel Karpov, Jeffery M. Gearhart, Robert Rallo, D Allen, Charles Siegel, Zhen Zhang, Zijun Xiao, Alexander Tropsha, Stephen J. Capuzzi, Alexandru Korotcov, Carolina Horta Andrade, Noel Southall, Viviana Consonni, Igor V. Tetko, Jeremy M. Fitzpatrick, Andrew J. Wedlake, Denis Fourches, Zhongyu Wang, Vinicius M. Alves, Eugene N. Muratov, Timothy E. H. Allen, Andrea Mauri, James B. Brown, Alexandre Varnek, Yun Tang, Sanjeeva J. Wijeyesakere, Daniel P. Russo, Cosimo Toma, Christopher M. Grulke, Michael S. Lawless, Domenico Gadaleta, Paritosh Pande, Thomas Hartung, Jonathan M. Goodman, Kristijan Vukovic, Joyce V. Bastos, Daniela Trisciuzzi, Fagen F. Zhang, Domenico Alberga, Thomas Luechtefeld, Dan Marsh, Tyler R. Auernhammer, Shannon M. Bell, Xinhao Li, Brian J. Teppen, F. Lunghini, Sergey Sosnin, Hao Zhu, Feng Gao, Craig Rowlands, Tongan Zhao, R Todeschini, Valery Tkachenko, Francesca Grisoni, Hongbin Yang, Yaroslav Chushak, Maxim V. Fedorov, Heather L. Ciallella, Gilles Marcou
Publikováno v:
Environmental Health Perspectives
Environmental Health Perspectives, National Institute of Environmental Health Sciences, 2021, 129 (4), pp.047013. ⟨10.1289/EHP8495⟩
Environmental Health Perspectives, National Institute of Environmental Health Sciences, 2021, 129 (4), pp.047013. ⟨10.1289/EHP8495⟩
BACKGROUND: Humans are exposed to tens of thousands of chemical substances that need to be assessed for their potential toxicity. Acute systemic toxicity testing serves as the basis for regulatory hazard classification, labeling, and risk management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f10be9a3f401d14e1b5653e1242ab66
https://www.repository.cam.ac.uk/handle/1810/322114
https://www.repository.cam.ac.uk/handle/1810/322114
Autor:
Alexander Tropsha, Stephen J. Capuzzi, Yurii S. Moroz, Savych O, Korshunova M, Radchenko Ds, Timothy M. Willson, Huang N, Carrow I. Wells, Olexandr Isayev
Deep generative neural networks have been used increasingly in computational chemistry for de novo design of molecules with desired properties. Many deep learning approaches employ reinforcement learning for optimizing the target properties of the ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2687b0b83461d9ff1e32e6779fd3e3c6
https://doi.org/10.26434/chemrxiv.14045072.v1
https://doi.org/10.26434/chemrxiv.14045072.v1
Autor:
Adam Yasgar, Ganesha Rai, Daniel Korn, Joshua Hochuli, Anton Simeonov, Rodolpho C. Braga, Alexander Tropsha, Alexey V. Zakharov, Stephen J. Capuzzi, Eugene N. Muratov, Vinicius M. Alves, Kyle H. Bowler
Publikováno v:
Journal of chemical information and modeling. 60(8)
Small, colloidally aggregating molecules (SCAMs) are the most common source of false positives in high-throughput screening (HTS) campaigns. Although SCAMs can be experimentally detected and suppressed by the addition of detergent in the assay buffer
Autor:
Nathanael S. Gray, Fleur M. Ferguson, Xianming Deng, Stephen J. Capuzzi, Senthil K. Muthuswamy, Jinhua Wang, Kenneth D. Westover, Ling Huang, Yan Liu, Alexander Tropsha, Eugene N. Muratov, Wayne Harshbarger
Publikováno v:
J Med Chem
Doublecortin-like kinase 1 (DCLK1) is a serine/threonine kinase that is overexpressed in gastrointestinal cancers, including esophageal, gastric, colorectal, and pancreatic cancers. DCLK1 is also used as a marker of tuft cells, which regulate type II
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8da621f41453c4c3208e09367d26912
https://europepmc.org/articles/PMC8270059/
https://europepmc.org/articles/PMC8270059/