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North East India medicinal plants database (NEI-MPDB).
Kiewhuo, Kikrusenuo; Gogoi, Dipshikha; Mahanta, Hridoy Jyoti; Rawal, Ravindra K; Das, Debabrata; Sastry, G Narahari.
Afiliação
  • Kiewhuo K; Advanced Computation and Data Sciences Division, CSIR-North East Institute of Science and Technology, Jorhat, 785 006, Assam, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201 002, Uttar Pradesh, India.
  • Gogoi D; Advanced Computation and Data Sciences Division, CSIR-North East Institute of Science and Technology, Jorhat, 785 006, Assam, India.
  • Mahanta HJ; Advanced Computation and Data Sciences Division, CSIR-North East Institute of Science and Technology, Jorhat, 785 006, Assam, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201 002, Uttar Pradesh, India.
  • Rawal RK; Advanced Computation and Data Sciences Division, CSIR-North East Institute of Science and Technology, Jorhat, 785 006, Assam, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201 002, Uttar Pradesh, India.
  • Das D; Advanced Computation and Data Sciences Division, CSIR-North East Institute of Science and Technology, Jorhat, 785 006, Assam, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201 002, Uttar Pradesh, India.
  • Sastry GN; Advanced Computation and Data Sciences Division, CSIR-North East Institute of Science and Technology, Jorhat, 785 006, Assam, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201 002, Uttar Pradesh, India. Electronic address: gnsastry@neist.res.in.
Comput Biol Chem ; 100: 107728, 2022 Oct.
Article em En | MEDLINE | ID: mdl-35952423
The rich biodiversity of North East India is one of the recognized biodiversity hotspots of the world. This region comprises of eight states (Assam, Arunachal Pradesh, Manipur, Meghalaya, Mizoram, Nagaland, Sikkim, and Tripura) with diverse ethnic communities having invaluable traditional knowledge/practices, passed through genesis. The medicinal plants in this region are rich in natural products/phytochemicals and have been used extensively by pharmaceutical industries. The present study is an attempt to develop a comprehensive resource of the medicinal plants with a quantitative analysis of the phytochemicals which can enhance knowledge on therapeutic indications and contribute in drug discovery and development. The database is a collection of 561 unique plants comprising of 9225 phytochemicals. The physiochemical properties of the phytochemicals were analyzed using indigenous python scripts whereas for the ADMET properties, open access servers were used. The data available in NEI-MPDB will help to connect the cutting-edge approach of various research groups and will help to translate the information into economic wealth by the pharmaceutical industries. The database is openly accessible at https://neist.res.in/neimpdb/.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plantas Medicinais País/Região como assunto: Asia Idioma: En Revista: Comput Biol Chem Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plantas Medicinais País/Região como assunto: Asia Idioma: En Revista: Comput Biol Chem Ano de publicação: 2022 Tipo de documento: Article