Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

SMILES

General information

URL: http://www.hccbif.info
Full name: Database on pharmacophore analysis of active principles
Description: we describe the database containing the information of pharmacophore analysis of active principles possessing antidiabetic, antimicrobial, anticancerous and antioxidant properties from medicinal plants.
Year founded: 2010
Last update:
Version:
Accessibility:
Unaccessible
Country/Region: India

Classification & Tag

Data type:
Data object:
Database category:
Major species:
NA
Keywords:

Contact information

University/Institution: Holy Cross College
Address:
City:
Province/State:
Country/Region: India
Contact name (PI/Team): Daisy Pitchai
Contact email (PI/Helpdesk): moc.liamg@eilsselysiad

Publications

21346859
Database on pharmacophore analysis of active principles, from medicinal plants. [PMID: 21346859]
Pitchai D, Manikkam R, Rajendran SR, Pitchai G.

Plants continue to be a major source of medicines, as they have been throughout human history. In the present days, drug discovery from plants involves a multidisciplinary approach combining ethnobotanical, phytochemical and biological techniques to provide us new chemical compounds (lead molecules) for the development of drugs against various pharmacological targets, including cancer, diabetes and its secondary complications. In view of this need in current drug discovery from medicinal plants, here we describe another web database containing the information of pharmacophore analysis of active principles possessing antidiabetic, antimicrobial, anticancerous and antioxidant properties from medicinal plants. The database provides the botanical, taxonomic classification, biochemical as well as pharmacological properties of medicinal plants. Data on antidiabetic, antimicrobial, anti oxidative, anti tumor and anti inflammatory compounds, and their physicochemical properties, SMILES Notation, Lipinski's properties are included in our database. One of the proposed features in the database is the predicted ADMET values and the interaction of bioactive compounds to the target protein. The database alphabetically lists the compound name and also provides tabs separating for anti microbial, antitumor, antidiabetic, and antioxidative compounds.
AVAILABILITY: http://www.hccbif.info /

Bioinformation. 2010:5(2) | 10 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
5921/6895 (14.141%)
Health and medicine:
1500/1738 (13.751%)
5921
Total Rank
9
Citations
0.6
z-index

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Record metadata

Created on: 2018-01-28
Curated by:
Yang Zhang [2018-03-27]
Yang Zhang [2018-03-08]