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Insights into the Pharmacological Effects of Flavonoids: The Systematic Review of Computer Modeling.
Taldaev, Amir; Terekhov, Roman; Nikitin, Ilya; Zhevlakova, Anastasiya; Selivanova, Irina.
  • Taldaev A; Laboratoty of Nanobiotechnology, Institute of Biomedical Chemistry, Pogodinskaya Str. 10/8, 119121 Moscow, Russia.
  • Terekhov R; Department of Chemistry, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
  • Nikitin I; Department of Chemistry, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
  • Zhevlakova A; Department of Chemistry, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
  • Selivanova I; Department of Chemistry, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Int J Mol Sci ; 23(11)2022 May 27.
Article in English | MEDLINE | ID: covidwho-2245613
ABSTRACT
Computer modeling is a method that is widely used in scientific investigations to predict the biological activity, toxicity, pharmacokinetics, and synthesis strategy of compounds based on the structure of the molecule. This work is a systematic review of articles performed in accordance with the recommendations of PRISMA and contains information on computer modeling of the interaction of classical flavonoids with different biological targets. The review of used computational approaches is presented. Furthermore, the affinities of flavonoids to different targets that are associated with the infection, cardiovascular, and oncological diseases are discussed. Additionally, the methodology of bias risks in molecular docking research based on principles of evidentiary medicine was suggested and discussed. Based on this data, the most active groups of flavonoids and lead compounds for different targets were determined. It was concluded that flavonoids are a promising object for drug development and further research of pharmacology by in vitro, ex vivo, and in vivo models is required.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Flavonoids / Computers Type of study: Experimental Studies / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Language: English Year: 2022 Document Type: Article Affiliation country: Ijms23116023

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Flavonoids / Computers Type of study: Experimental Studies / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Language: English Year: 2022 Document Type: Article Affiliation country: Ijms23116023