title: Chemo- and bioinformatics resources for in silico drug discovery from medicinal plants beyond their traditional use: a critical review.
abstract: In silico approaches have been widely recognised to be useful for drug discovery. Here, we consider the significance of available databases of medicinal plants and chemo- and bioinformatics tools for in silico drug discovery beyond the traditional use of folk medicines. This review contains a practical example of the application of combined chemo- and bioinformatics methods to study pleiotropic therapeutic effects (known and novel) of 50 medicinal plants from Traditional Indian Medicine.
authors: Orekhovich Institute of Biomedical Chemistry of Rus. Acad. Med. Sci., Pogodinskaya Str. 10/8, Moscow, 119121, Russia. alexey.lagunin@ibmc.msk.ru.
authors: Alexey A
authors: AA
authors: Lagunin
authors: Rajesh K
authors: RK
authors: Goel
authors: Dinesh Y
authors: DY
authors: Gawande
authors: Priynka
authors: P
authors: Pahwa
authors: Tatyana A
authors: TA
authors: Gloriozova
authors: Alexander V
authors: AV
authors: Dmitriev
authors: Sergey M
authors: SM
authors: Ivanov
authors: Anastassia V
authors: AV
authors: Rudik
authors: Varvara I
authors: VI
authors: Konova
authors: Pavel V
authors: PV
authors: Pogodin
authors: Dmitry S
authors: DS
authors: Druzhilovsky
authors: Vladimir V
authors: VV
authors: Poroikov
mesh_terms: D019295:Computational Biology; D016208:Databases, Factual; D055808:Drug Discovery; D008519:Medicine, Traditional; D015394:Molecular Structure; D010946:Plants, Medicinal / Q000737:chemistry*