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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)...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2010
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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 / |
format | Text |
id | pubmed-3039985 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
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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