Zobrazeno 1 - 10
of 324
pro vyhledávání: '"Tudor I, Oprea"'
Autor:
Vincent T. Metzger, Daniel C. Cannon, Jeremy J. Yang, Stephen L. Mathias, Cristian G. Bologa, Anna Waller, Stephan C. Schürer, Dušica Vidović, Keith J. Kelleher, Timothy K. Sheils, Lars Juhl Jensen, Christophe G. Lambert, Tudor I. Oprea, Jeremy S. Edwards
Publikováno v:
PeerJ, Vol 12, p e17470 (2024)
TIN-X (Target Importance and Novelty eXplorer) is an interactive visualization tool for illuminating associations between diseases and potential drug targets and is publicly available at newdrugtargets.org. TIN-X uses natural language processing to i
Externí odkaz:
https://doaj.org/article/960d5f8e591045c1b0baec822e03ab67
Autor:
John Erol Evangelista, Daniel J. B. Clarke, Zhuorui Xie, Giacomo B. Marino, Vivian Utti, Sherry L. Jenkins, Taha Mohseni Ahooyi, Cristian G. Bologa, Jeremy J. Yang, Jessica L. Binder, Praveen Kumar, Christophe G. Lambert, Jeffrey S. Grethe, Eric Wenger, Deanne Taylor, Tudor I. Oprea, Bernard de Bono, Avi Ma’ayan
Publikováno v:
Communications Medicine, Vol 3, Iss 1, Pp 1-14 (2023)
Abstract Background Birth defects are functional and structural abnormalities that impact about 1 in 33 births in the United States. They have been attributed to genetic and other factors such as drugs, cosmetics, food, and environmental pollutants d
Externí odkaz:
https://doaj.org/article/3b529ae9cc3f41ad82da2371efbd1a29
Autor:
Jürgen Bajorath, Ana L. Chávez-Hernández, Miquel Duran-Frigola, Eli Fernández-de Gortari, Johann Gasteiger, Edgar López-López, Gerald M. Maggiora, José L. Medina-Franco, Oscar Méndez-Lucio, Jordi Mestres, Ramón Alain Miranda-Quintana, Tudor I. Oprea, Fabien Plisson, Fernando D. Prieto-Martínez, Raquel Rodríguez-Pérez, Paola Rondón-Villarreal, Fernanda I. Saldívar-Gonzalez, Norberto Sánchez-Cruz, Marilia Valli
Publikováno v:
Journal of Cheminformatics, Vol 14, Iss 1, Pp 1-12 (2022)
Abstract We report the main conclusions of the first Chemoinformatics and Artificial Intelligence Colloquium, Mexico City, June 15–17, 2022. Fifteen lectures were presented during a virtual public event with speakers from industry, academia, and no
Externí odkaz:
https://doaj.org/article/c7438a3c488344729743a6904d1bb89f
Autor:
Mohsen Ranjbar, Jeremy J. Yang, Praveen Kumar, Daniel R. Byrd, Elaine L. Bearer, Tudor I. Oprea
Publikováno v:
Natural Sciences, Vol 3, Iss 3, Pp n/a-n/a (2023)
Abstract Identifying novel autophagy (ATG) associated genes in humans remains an important task for understanding this fundamental physiological process. Machine learning (ML) can highlight potentially “missing pieces” linking core ATG genes with
Externí odkaz:
https://doaj.org/article/068aaccd8812402ea4614d52be570ccc
Autor:
Maria P. Magariños, Anna Gaulton, Eloy Félix, Tevfik Kiziloren, Ricardo Arcila, Tudor I. Oprea, Andrew R. Leach
Publikováno v:
PeerJ, Vol 11, p e15153 (2023)
The patent literature is a potentially valuable source of bioactivity data. In this article we describe a process to prioritise 3.7 million life science relevant patents obtained from the SureChEMBL database (https://www.surechembl.org/), according t
Externí odkaz:
https://doaj.org/article/5dbd917e301f45c7a2da3d708bdd1b1a
Autor:
Jessica Binder, Oleg Ursu, Cristian Bologa, Shanya Jiang, Nicole Maphis, Somayeh Dadras, Devon Chisholm, Jason Weick, Orrin Myers, Praveen Kumar, Jeremy J. Yang, Kiran Bhaskar, Tudor I. Oprea
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-15 (2022)
Jessica Binder et al. developed a machine learning model to discover potential drug targets for Alzheimer’s disease. They validated their 20 top candidates in several in vitro models, and highlight FRRS1, CTRAM, SCGB3A1, FAM92B/CIBAR2, and TMEFF2 a
Externí odkaz:
https://doaj.org/article/eafe528a0fb444148715ee8fe57ec23e
Autor:
Cristina V. Iancu, Giovanni Bocci, Mohd Ishtikhar, Moumita Khamrai, Mislav Oreb, Tudor I. Oprea, Jun-yong Choe
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract The passive transport of glucose and related hexoses in human cells is facilitated by members of the glucose transporter family (GLUT, SLC2 gene family). GLUT3 is a high-affinity glucose transporter primarily responsible for glucose entry in
Externí odkaz:
https://doaj.org/article/ed5179664a9e4f51a1594dbab4844691
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Glucose is an essential energy source for cells. In humans, its passive diffusion through the cell membrane is facilitated by members of the glucose transporter family (GLUT, SLC2 gene family). GLUT2 transports both glucose and fructose with
Externí odkaz:
https://doaj.org/article/a3ca6807862349959215bc5d361e1f6c
Autor:
Anna Cichońska, Balaguru Ravikumar, Robert J. Allaway, Fangping Wan, Sungjoon Park, Olexandr Isayev, Shuya Li, Michael Mason, Andrew Lamb, Ziaurrehman Tanoli, Minji Jeon, Sunkyu Kim, Mariya Popova, Stephen Capuzzi, Jianyang Zeng, Kristen Dang, Gregory Koytiger, Jaewoo Kang, Carrow I. Wells, Timothy M. Willson, The IDG-DREAM Drug-Kinase Binding Prediction Challenge Consortium, Tudor I. Oprea, Avner Schlessinger, David H. Drewry, Gustavo Stolovitzky, Krister Wennerberg, Justin Guinney, Tero Aittokallio
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-18 (2021)
The IDG-DREAM Challenge carried out crowdsourced benchmarking of predictive algorithms for kinase inhibitor activities on unpublished data. This study provides a resource to compare emerging algorithms and prioritize new kinase activities to accelera
Externí odkaz:
https://doaj.org/article/f21e267a1ae047ee9c1ecdf221b76214
Publikováno v:
Journal of Biomedical Semantics, Vol 12, Iss 1, Pp 1-15 (2021)
Abstract Accurate and precise information about the therapeutic uses (indications) of a drug is essential for applications in drug repurposing and precision medicine. Leading online drug resources such as DrugCentral and DrugBank provide rich informa
Externí odkaz:
https://doaj.org/article/914c1b3747164d79972f7a941868712e