Zobrazeno 1 - 5
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pro vyhledávání: '"Tamanna Gandhi"'
Publikováno v:
Journal of Advanced Research, Vol 7, Iss 6, Pp 931-944 (2016)
Limited progress has been made in the quest to identify both selective and non-toxic T-type calcium channel blocking compounds. The present research work was directed toward slaking the same by identifying the selective three dimensional (3D) pharmac
Externí odkaz:
https://doaj.org/article/ca421cb7ea55408ca625516cbf13c1c2
Publikováno v:
Journal of Advanced Research
Journal of Advanced Research, Vol 7, Iss 6, Pp 931-944 (2016)
Journal of Advanced Research, Vol 7, Iss 6, Pp 931-944 (2016)
Graphical abstract Predictive selective and non-selective 3D pharmacophore models for the design and development of better and safe T-type calcium channel blockers.
Limited progress has been made in the quest to identify both selective and non-t
Limited progress has been made in the quest to identify both selective and non-t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60d6c82066fd4cf98e6c95096fec0192
http://europepmc.org/articles/PMC5045570
http://europepmc.org/articles/PMC5045570
Autor:
C. Mohan, Tamanna Gandhi
Publikováno v:
Mini-Reviews in Medicinal Chemistry. 8:1285-1290
Voltage-gated Calcium channels (VGCCs) play important roles in neurotransmitter release, excitation-contraction coupling, hormone secretion, and a variety of other physiological processes. Currently, there exist ion channel therapeutics for anxiety,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5431e7ceff446215f7303329f2c4ef8
https://doi.org/10.2174/138955708786141016
https://doi.org/10.2174/138955708786141016
Publikováno v:
Journal of Molecular Graphics and Modelling. 26:966-976
Predictive quantitative structure-toxicity and toxicophore models were developed for a diverse series of hERG K+ channel blockers, acting as anti-arrhythmic agents using QSAR+ module in Cerius2 and HypoGen module in Catalyst software, respectively. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c10e1d49a8ddbbf07de85370b50085d
https://doi.org/10.1016/j.jmgm.2007.08.002
https://doi.org/10.1016/j.jmgm.2007.08.002
Publikováno v:
Mini-Reviews in Medicinal Chemistry. 7:499-507
In Silico predictive ADME/Tox screening of compounds is one of the hottest areas in drug discovery. To provide predictions of compound drug-like characteristics early in modern drug-discovery decision making, computational technologies have been wide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b53e643e0d9c1cd0b6e5741d07f54199
https://doi.org/10.2174/138955707780619554
https://doi.org/10.2174/138955707780619554