Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ramona Rad-Curpan"'
Publikováno v:
Journal of the Serbian Chemical Society, Vol 79, Iss 2, Pp 175-183 (2014)
The dopaminic receptors have been for long time the major targets for developing new small molecules with high affinity and selectivity to treat psychiatric disorders, neurodegeneration, drug abuse, and other therapeutic areas. In the absence of a 3D
Publikováno v:
Proceedings of The 16th International Electronic Conference on Synthetic Organic Chemistry.
Publikováno v:
Pharmaceutical Data Mining
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6380dd6e14969d6260c3dfd6576180c1
https://doi.org/10.1002/9780470567623.ch17
https://doi.org/10.1002/9780470567623.ch17
Autor:
Alexandra Gruia, Mircea Mracec, Ana Borota, Liliana Ostopovici-Halip, Ramona Rad-Curpan, Maria Mracec
Publikováno v:
European journal of medicinal chemistry. 46(3)
A QSAR (quantitative structure-activity relationship) analysis of the binding affinities for a series of 43 quinoline derivatives active against the alpha2C adrenergic receptor was performed. Multiple linear regressions (MLR) were obtained using the
Autor:
OSTOPOVICI-HALIP, LILIANA1 lili.ostopovici@acad-icht.tm.edu.ro, RAD-CURPAN, RAMONA1
Publikováno v:
Journal of the Serbian Chemical Society. 2014, Vol. 79 Issue 2, p175-183. 9p.
Autor:
Balakin, Konstantin V.
Publikováno v:
Pharmaceutical Data Mining; 2009, pi-xvi, 14p
Autor:
Balakin, Konstantin V.
Publikováno v:
Pharmaceutical Data Mining; 2009, p491-520, 30p
Autor:
Konstantin V. Balakin
Leading experts illustrate how sophisticated computational data mining techniques can impact contemporary drug discovery and development In the era of post-genomic drug development, extracting and applying knowledge from chemical, biological, and cli