ArticleBMC complementary and alternative medicine2015
SerpentinaDB: a database of plant-derived molecules of Rauvolfia serpentina.
Article in BMC complementary and alternative medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Overview and limitations of database in global traditional medicines: A narrative review.Acta pharmacologica Sinica · 2025Review
- IMPPAT 2.0: An Enhanced and Expanded Phytochemical Atlas of Indian Medicinal Plants.ACS omega · 2023Article
- Computational Identification of Potential Multitarget Inhibitors of Nipah Virus by Molecular Docking and Molecular Dynamics.Microorganisms · 2022Article
- Phytotherapeutic Approaches to the Prevention of Age-Related Changes and the Extension of Active Longevity.Molecules (Basel, Switzerland) · 2022Review
- Identification of Potential Poly (ADP-Ribose) Polymerase-1 Inhibitors Derived fromEvidence-based complementary and alternative medicine : eCAM · 2022Article
- Article
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4 authors.
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Abstract
backgroundPlant-derived molecules (PDMs) are known to be a rich source of diverse scaffolds that could serve as a basis for rational drug design. Structured compilation of phytochemicals from traditional medicinal plants can facilitate prospection for novel PDMs and their analogs as therapeutic agents. Rauvolfia serpentina is an important medicinal plant, endemic to Himalayan mountain ranges of Indian subcontinent, reported to be of immense therapeutic value against various diseases. DESCRIPTION: We present SerpentinaDB, a structured compilation of 147 R. serpentina PDMs, inclusive of their plant part source, chemical classification, IUPAC, SMILES, physicochemical properties, and 3D chemical structures with associated references. It also provides refined search option for identification of analogs of natural molecules against ZINC database at user-defined cut-off.
conclusionSerpentinaDB is an exhaustive resource of R. serpentina molecules facilitating prospection for therapeutic molecules from a medicinally important source of natural products. It also provides refined search option to explore the neighborhood of chemical space against ZINC database to identify analogs of natural molecules obtained as leads. In a previous study, we have demonstrated the utility of this resource by identifying novel aldose reductase inhibitors towards intervention of complications of diabetes.
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