Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sinan Karaboga"'
Publikováno v:
Journal of Chemical Information and Modeling. 55:1804-1823
The in silico prediction of unwanted side effects (SEs) caused by the promiscuous behavior of drugs and their targets is highly relevant to the pharmaceutical industry. Considerable effort is now being put into computational and experimental screenin
Autor:
Jesús M. Planesas, Florent Petronin, Arnaud Sinan Karaboga, Violeta I. Pérez-Nueno, Jordi Teixidó, Michel Souchet
Publikováno v:
Journal of Chemical Information and Modeling. 53:1043-1056
HIV infection is initiated by fusion of the virus with the target cell through binding of the viral gp120 protein with the CD4 cell surface receptor protein and the CXCR4 or CCR5 coreceptors. There is currently considerable interest in developing nov
Publikováno v:
Journal of Chemical Information and Modeling
Journal of Chemical Information and Modeling, American Chemical Society, 2014, 54 (3), pp.720-734. ⟨10.1021/ci4006723⟩
Journal of Chemical Information and Modeling, 2014, 54 (3), pp.720-734. ⟨10.1021/ci4006723⟩
Journal of Chemical Information and Modeling, American Chemical Society, 2014, 54 (3), pp.720-734. ⟨10.1021/ci4006723⟩
Journal of Chemical Information and Modeling, 2014, 54 (3), pp.720-734. ⟨10.1021/ci4006723⟩
Polypharmacology is now recognized as an increasingly important aspect of drug design. We previously introduced the Gaussian ensemble screening (GES) approach to predict relationships between drug classes rapidly without requiring thousands of bootst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3faad142449dbcd165be7456947921de
https://hal.inria.fr/hal-01092928
https://hal.inria.fr/hal-01092928
Autor:
Michel Souchet, Gino Marchetti, Malika Smaïl-Tabbone, Emmanuel Bresso, Marie-Dominique Devignes, Arnaud Sinan Karaboga, Renaud Grisoni
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, 2013, 14 (1), pp.207. ⟨10.1186/1471-2105-14-207⟩
BMC Bioinformatics, BioMed Central, 2013, 14 (1), pp.207. ⟨10.1186/1471-2105-14-207⟩
BMC Bioinformatics, 2013, 14 (1), pp.207. ⟨10.1186/1471-2105-14-207⟩
BMC Bioinformatics, BioMed Central, 2013, 14 (1), pp.207. ⟨10.1186/1471-2105-14-207⟩
International audience; BackgroundDrug side effects represent a common reason for stopping drug development during clinical trials. Improving our ability to understand drug side effects is necessary to reduce attrition rates during drug development a
Autor:
Paul Laissue, Silvia Copelli, Marc Fellous, Gabriel Barrio, César Bergadá, Sinan Karaboga, Jean Marie Wurtz, Reiner A. Veitia, Ignacio Bergadá, Enzo Lalli
Publikováno v:
Clinical Endocrinology
Clinical Endocrinology, Wiley, 2006, 65 (5), pp.681-6. ⟨10.1111/j.1365-2265.2006.02649.x⟩
Clinical Endocrinology, Wiley, 2006, 65 (5), pp.681-6. 〈10.1111/j.1365-2265.2006.02649.x〉
Clinical Endocrinology, Wiley, 2006, 65 (5), pp.681-6. ⟨10.1111/j.1365-2265.2006.02649.x⟩
Clinical Endocrinology, Wiley, 2006, 65 (5), pp.681-6. 〈10.1111/j.1365-2265.2006.02649.x〉
OBJECTIVE: Mutations in DAX-1, an X-linked gene encoding an orphan nuclear receptor, have been associated with adrenal hypoplasia congenita and hypogonadotropic hypogonadism. Here we describe two novel DAX-1 mutations, Y214X and I361T, associated wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf8b4c47f07ab759505811d499fe1ec2
https://hal.archives-ouvertes.fr/hal-00172192
https://hal.archives-ouvertes.fr/hal-00172192