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Database on pharmacophore analysis of active principles, from medicinal plants

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)...

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Autores principales: Pitchai, Daisy, Manikkam, Rajalakshmi, Rajendran, Sasikala R, Pitchai, Gnanamani
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3039985/
https://www.ncbi.nlm.nih.gov/pubmed/21346859
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author Pitchai, Daisy
Manikkam, Rajalakshmi
Rajendran, Sasikala R
Pitchai, Gnanamani
author_facet Pitchai, Daisy
Manikkam, Rajalakshmi
Rajendran, Sasikala R
Pitchai, Gnanamani
author_sort Pitchai, Daisy
collection PubMed
description 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 /
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spelling pubmed-30399852011-02-23 Database on pharmacophore analysis of active principles, from medicinal plants Pitchai, Daisy Manikkam, Rajalakshmi Rajendran, Sasikala R Pitchai, Gnanamani Bioinformation Database 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 / Biomedical Informatics 2010-07-06 /pmc/articles/PMC3039985/ /pubmed/21346859 Text en © 2010 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Database
Pitchai, Daisy
Manikkam, Rajalakshmi
Rajendran, Sasikala R
Pitchai, Gnanamani
Database on pharmacophore analysis of active principles, from medicinal plants
title Database on pharmacophore analysis of active principles, from medicinal plants
title_full Database on pharmacophore analysis of active principles, from medicinal plants
title_fullStr Database on pharmacophore analysis of active principles, from medicinal plants
title_full_unstemmed Database on pharmacophore analysis of active principles, from medicinal plants
title_short Database on pharmacophore analysis of active principles, from medicinal plants
title_sort database on pharmacophore analysis of active principles, from medicinal plants
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3039985/
https://www.ncbi.nlm.nih.gov/pubmed/21346859
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