Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/21517
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dc.contributor.authorKarki, Rajeshri G-
dc.contributor.authorGokhale, Vijay M-
dc.contributor.authorKharkar, Prashant S-
dc.contributor.authorKulkarni, Vithal M-
dc.date.accessioned2013-10-04T11:04:11Z-
dc.date.available2013-10-04T11:04:11Z-
dc.date.issued2003-02-
dc.identifier.issn0975-0983(Online); 0376-4699(Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/21517-
dc.description372-381en_US
dc.description.abstractRational approaches involving drug discovery technologies such as computational and combinatorial chemistry and high throughput screening have been useful tools to design and discover new drugs more efficiently. The interplay among structure-activity relationships, computer modelling, chemical synthesis and pharmacological testing can lead to better products for a particular therapeutic purpose. The work presented in this paper reports an example of successful application of computer-aided drug design method to find new azole antifungal agents. The designed compounds have been synthesized in the laboratory and tested for anti fungal activity against Candida albicans ATCC 24433 in vitro. Two compounds exhibit good activity in vitro, which can be optimized for better activity.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJC-B Vol.42B(02) [February 2003]en_US
dc.titleAzole compounds designed by molecular modelling show antifungal activity as predicteden_US
dc.typeArticleen_US
Appears in Collections:IJC-B Vol.42B(02) [February 2003]

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