SerpentinaDB: a database of plant-derived molecules of Rauvolfia serpentina

BMC Complementary and Alternative Medicine

Ganesh Bagler²  Vinay Randhawa²  Sai Mukund Ramakrishnan¹  Shivalika Pathania³ 

[1] Centre for Biologically Inspired Systems Science, Indian Institute of Technology Jodhpur, Jodhpur, India;Academy of Scientific & Innovative Research (AcSIR), New Delhi, India;Biotechnology Division, CSIR-Institute of Himalayan Bioresource Technology, Council of Scientific and Industrial Research, Palampur, Himachal Pradesh, India

关键词: ADMET;    Virtual screening;    Drug discovery;    Database;    Rauvolfia serpentina;    Plant-derived molecules;   

Others  :  1222061
DOI  :  10.1186/s12906-015-0683-7

 received in 2015-03-12, accepted in 2015-05-20,  发布年份 2015

【 摘 要 】

Background

Plant-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.

Conclusion

SerpentinaDB 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.

【 授权许可】

   
2015 Pathania et al.

【 图 表 】

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