Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Georgi K. Kanev"'
Autor:
Yang Zheng, Susanne Schroeder, Georgi K. Kanev, Sanaa S. Botros, Samia William, Abdel-Nasser A. Sabra, Louis Maes, Guy Caljon, Carmen Gil, Ana Martinez, Irene G. Salado, Koen Augustyns, Ewald Edink, Maarten Sijm, Erik de Heuvel, Iwan J. P. de Esch, Tiffany van der Meer, Marco Siderius, Geert Jan Sterk, David Brown, Rob Leurs
Publikováno v:
International Journal of Molecular Sciences, Vol 24, Iss 7, p 6817 (2023)
Schistosomiasis is a neglected tropical disease with high morbidity. Recently, the Schistosoma mansoni phosphodiesterase SmPDE4A was suggested as a putative new drug target. To support SmPDE4A targeted drug discovery, we cloned, isolated, and biochem
Externí odkaz:
https://doaj.org/article/84d1247c3bce48cfb4bc07f0a1f7bd30
Publikováno v:
Kanev, G K, de Graaf, C, Westerman, B A, de Esch, I J P & Kooistra, A J 2021, ' KLIFS : an overhaul after the first 5 years of supporting kinase research ', Nucleic acids research, vol. 49, no. D1, pp. D562-D569 . https://doi.org/10.1093/nar/gkaa895
Nucleic Acids Research
Kanev, G K, de Graaf, C, Westerman, B A, de Esch, I J P & Kooistra, A J 2021, ' KLIFS : an overhaul after the first 5 years of supporting kinase research ', Nucleic Acids Research, vol. 49, no. D1, pp. D562-D569 . https://doi.org/10.1093/nar/gkaa895
Nucleic Acids Research, 49(D1), D562-D569. Oxford University Press
Nucleic acids research, 49(D1), D562-D569. Oxford University Press
Nucleic Acids Research
Kanev, G K, de Graaf, C, Westerman, B A, de Esch, I J P & Kooistra, A J 2021, ' KLIFS : an overhaul after the first 5 years of supporting kinase research ', Nucleic Acids Research, vol. 49, no. D1, pp. D562-D569 . https://doi.org/10.1093/nar/gkaa895
Nucleic Acids Research, 49(D1), D562-D569. Oxford University Press
Nucleic acids research, 49(D1), D562-D569. Oxford University Press
Kinases are a prime target of drug development efforts with >60 drug approvals in the past two decades. Due to the research into this protein family, a wealth of data has been accumulated that keeps on growing. KLIFS—Kinase–Ligand Interaction Fin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aed2f7dd0777f5c73b8e9a26f6c1033b
http://www.scopus.com/inward/record.url?scp=85099428687&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85099428687&partnerID=8YFLogxK
Autor:
Iwan J. P. de Esch, Thomas Wurdinger, Georgi K. Kanev, Bart A. Westerman, Rob Leurs, Albert J. Kooistra, Chris de Graaf
Publikováno v:
Kanev, G K, de Graaf, C, de Esch, I J P, Leurs, R, Würdinger, T, Westerman, B A & Kooistra, A J 2019, ' The Landscape of Atypical and Eukaryotic Protein Kinases ', Trends in Pharmacological Sciences, vol. 40, no. 11, pp. 818-832 . https://doi.org/10.1016/j.tips.2019.09.002
Kinases are attractive anticancer targets due to their central role in the growth, survival, and therapy resistance of tumor cells. This review explores the two primary kinase classes, the eukaryotic protein kinases (ePKs) and the atypical protein ki
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::400debacf660f464d159d61c5ec03b1c
https://pubmed.ncbi.nlm.nih.gov/31677919
https://pubmed.ncbi.nlm.nih.gov/31677919
Structural chemogenomics databases allow the integration and exploration of heterogeneous genomic, structural, chemical, and pharmacological data in order to extract useful information that is applicable for the discovery of new protein targets and b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9bfdac8547123c9f09a2b8341cd82a5
https://doi.org/10.1016/b978-0-12-409547-2.12298-x
https://doi.org/10.1016/b978-0-12-409547-2.12298-x
Autor:
Iwan J. P. de Esch, Georgi K. Kanev, Albert J. Kooistra, Rob Leurs, Oscar P.J. van Linden, Chris de Graaf
Publikováno v:
Kooistra, A J, Kanev, G K, van Linden, O P J, Leurs, R, de Esch, I J P & de Graaf, C 2016, ' KLIFS: a structural kinase-ligand interaction database. ', Nucleic Acids Research, vol. 44, no. D1, pp. D365-D371 . https://doi.org/10.1093/nar/gkv1082
Nucleic Acids Research
Nucleic Acids Research, 44(D1), D365-D371. Oxford University Press
Nucleic Acids Research
Nucleic Acids Research, 44(D1), D365-D371. Oxford University Press
Protein kinases play a crucial role in cell signaling and are important drug targets in several therapeutic areas. The KLIFS database contains detailed structural kinase-ligand interaction information derived from all (>2900) structures of catalytic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6b2bca9682423de37034876d3245b13
https://research.vu.nl/en/publications/7214c44a-0891-4ea5-bb48-23fdbba32b3d
https://research.vu.nl/en/publications/7214c44a-0891-4ea5-bb48-23fdbba32b3d
Autor:
Albert J. Kooistra, Chris de Graaf, Iwan J. P. de Esch, Chimed Jansen, Georgi K. Kanev, Rob Leurs
Publikováno v:
Journal of Medicinal Chemistry, 59(15), 7029-7065. American Chemical Society
Jansen, C J W, Kooistra, A J, Kanev, G K, Leurs, R, de Esch, I J P & de Graaf, C 2016, ' PDEStrIAn: A phosphodiesterase structure and ligan interaction annotated database as a tool for structure-based drug design. ', Journal of Medicinal Chemistry, vol. 59, no. 15, pp. 7029-7065 . https://doi.org/10.1021/acs.jmedchem.5b01813
Jansen, C J W, Kooistra, A J, Kanev, G K, Leurs, R, de Esch, I J P & de Graaf, C 2016, ' PDEStrIAn: A phosphodiesterase structure and ligan interaction annotated database as a tool for structure-based drug design. ', Journal of Medicinal Chemistry, vol. 59, no. 15, pp. 7029-7065 . https://doi.org/10.1021/acs.jmedchem.5b01813
A systematic analysis is presented of the 220 phosphodiesterase (PDE) catalytic domain crystal structures present in the Protein Data Bank (PDB) with a focus on PDE-ligand interactions. The consistent structural alignment of 57 PDE ligand binding sit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::748d97fb21984b9f27ae46d50e996834
https://research.vu.nl/en/publications/4fbe05eb-49ab-4e58-8113-65751a7e03d7
https://research.vu.nl/en/publications/4fbe05eb-49ab-4e58-8113-65751a7e03d7
Autor:
Georgi K Kanev, Yaran Zhang, Albert J Kooistra, Andreas Bender, Rob Leurs, David Bailey, Thomas Würdinger, Chris de Graaf, Iwan J P de Esch, Bart A Westerman
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 9, p e1011301 (2023)
Many therapies in clinical trials are based on single drug-single target relationships. To further extend this concept to multi-target approaches using multi-targeted drugs, we developed a machine learning pipeline to unravel the target landscape of
Externí odkaz:
https://doaj.org/article/3875d0fdcc1341ac8c4a8184e67a02c7