Evidence map›Paper›PMID 35682702›Full record

SynthesisInternational journal of molecular sciences2022

Insights into the Pharmacological Effects of Flavonoids: The Systematic Review of Computer Modeling.

Amir Taldaev, Roman Terekhov, Ilya Nikitin, Anastasiya Zhevlakova, Irina Selivanova

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 8 pooled it
5.9field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 8 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
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  13. Journal of conservative dentistry and endodontics · 2025
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  18. The antitumor potential ofFrontiers in pharmacology · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Amir TaldaevLaboratoty of Nanobiotechnology, Institute of Biomedical Chemistry, Pogodinskaya Str. 10/8, 119121 Moscow, Russia.
Roman TerekhovDepartment of Chemistry, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.ORCID 0000-0001-9206-8632
Ilya NikitinDepartment of Chemistry, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Anastasiya ZhevlakovaDepartment of Chemistry, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Irina SelivanovaDepartment of Chemistry, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Sechenov University · RU

Funding

Ministry of Education and Science of the Russian Federation Agreement No. 075-15-2021-993, unique project ID: RF00121X0004
6 · The paper itself

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.

Indexed as

ComputersFlavonoidsComputer SimulationMolecular Docking SimulationFlavonoidsbias riskcheminformaticscomputer modelingdockingflavonoidsin silicolimitationsmolecular modelingphytomedicinesystematic review

Identifiers

PMID35682702
PMCPMC9181432
OpenAlexW4281775321

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.