PSC-db: A Structured and Searchable 3D-Database for Plant Secondary Compounds
Autor: | Gabriel Núñez-Vivanco, Alejandro Valdés-Jiménez, David Ramírez, Ingo Dreyer, Carlos Peña-Varas, Hussam Hassan Nour-Eldin, Lily Arrué, Paola Borrego-Muñoz, Melissa Alegría-Arcos |
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Rok vydání: | 2021 |
Předmět: |
physicochemical and pharmaceutical descriptors
Quantitative structure–activity relationship natural products Computer science Phytochemicals Quantitative Structure-Activity Relationship Pharmaceutical Science Structural diversity computer.software_genre Article Analytical Chemistry lcsh:QD241-441 03 medical and health sciences 0302 clinical medicine lcsh:Organic chemistry Drug Discovery 3D-structures Physical and Theoretical Chemistry database Organism 030304 developmental biology 0303 health sciences Database Organic Chemistry Plants plant secondary metabolites chemical and structural properties Molecular Docking Simulation Chemistry (miscellaneous) Docking (molecular) Molecular Medicine computer Databases Chemical 030217 neurology & neurosurgery |
Zdroj: | Valdes-Jimenez, A, Pena-Varas, C, Borrego-Munoz, P, Arrue, L, Alegria-Arcos, M, Nour-Eldin, H, Dreyer, I, Nunez-Vivanco, G & Ramirez, D 2021, ' PSC-db : A Structured and Searchable 3D-Database for Plant Secondary Compounds ', Molecules, vol. 26, no. 4, 1124 . https://doi.org/10.3390/molecules26041124 Molecules Molecules, Vol 26, Iss 1124, p 1124 (2021) Volume 26 Issue 4 |
ISSN: | 1420-3049 |
Popis: | Plants synthesize a large number of natural products, many of which are bioactive and have practical values as well as commercial potential. To explore this vast structural diversity, we present PSC-db, a unique plant metabolite database aimed to categorize the diverse phytochemical space by providing 3D-structural information along with physicochemical and pharmaceutical properties of the most relevant natural products. PSC-db may be utilized, for example, in qualitative estimation of biological activities (Quantitative Structure-Activity Relationship, QSAR) or massive docking campaigns to identify new bioactive compounds, as well as potential binding sites in target proteins. PSC-db has been implemented using the open-source PostgreSQL database platform where all compounds with their complementary and calculated information (classification, redundant names, unique IDs, physicochemical properties, etc.) were hierarchically organized. The source organism for each compound, as well as its biological activities against protein targets, cell lines and different organism were also included. PSC-db is freely available for public use and is hosted at the Universidad de Talca. |
Databáze: | OpenAIRE |
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