Computational-based investigation of antioxidative potential polyphenolic compounds of Salvia officinalis L.: combined DFT and molecular docking approaches.

Saved in:
Bibliographic Details
Title: Computational-based investigation of antioxidative potential polyphenolic compounds of Salvia officinalis L.: combined DFT and molecular docking approaches.
Authors: Bendaas R; Laboratory of Applied Energy and Materials (LEAM), University of Jijel, Jijel, Algeria., Bekkar Y; Laboratory of Valorization and Technology of Sahara Resources (VTRS), University of El Oued, B.P.789, 39000, El Oued, Algeria., Messaadia L; Laboratory of Applied Energy and Materials (LEAM), University of Jijel, Jijel, Algeria. Lyamine.messaadia@gmail.com., Bourougaa L; Laboratory of Molecular Chemistry and Environment (LMCE), University of Biskra, BP 145, 707000, Biskra, Algeria., Messaoudi A; Laboratoire de Chimie Des Matériaux Et Des Vivants: Activité & Réactivité (LCMVAR), Département Chimie, Faculté Des Sciences de La Matière, Université de Batna 1, Batna, Algeria., Kiamouche S; Laboratory of Applied Energy and Materials (LEAM), University of Jijel, Jijel, Algeria.; Department of Environmental Engineering, Faculty of Engineering Process, University Constantine 3, 25000, Constantine, Algeria., Messaoud B; Laboratory of Materials Interaction and Environment (LIME), Faculty of Exact Sciences and Computer Science, University of Jijel, 18000, Jijel, Algeria.
Source: Journal of molecular modeling [J Mol Model] 2024 Feb 28; Vol. 30 (3), pp. 87. Date of Electronic Publication: 2024 Feb 28.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 9806569 Publication Model: Electronic Cited Medium: Internet ISSN: 0948-5023 (Electronic) Linking ISSN: 09485023 NLM ISO Abbreviation: J Mol Model Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Be the first to leave a comment!
You must be logged in first