Evidence map›Paper›PMID 34727985›Full record

ArticleBMC pharmacology & toxicology2021

Simulation studies, 3D QSAR and molecular docking on a point mutation of protein kinase B with flavonoids targeting ovarian Cancer.

Suchitra Maheswari Ajjarapu, Apoorv Tiwari, Gohar Taj, Dev Bukhsh Singh, Sakshi Singh, Sundip Kumar

Open access · goldAbstract read
In one paragraph

Article in BMC pharmacology & toxicology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Bioactive Compounds fromMedicinal chemistry (Shariqah (United Arab Emirates)) · 2026
    Article
  3. Article
  4. Journal of Taibah University Medical Sciences · 2025
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  5. Article
  6. Review
  7. Review
  8. Berberine enhances the sensitivity of radiotherapy in ovarian cancer cell line (SKOV-3).Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023
    Article
  9. Article
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

6 authors at 3 institutions in 1 country.

Suchitra Maheswari AjjarapuBioinformatics Sub-DIC, Department of Molecular Biology & Genetic Engineering, College of Basic Science and Humanities, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Udham Singh Nagar, 263145, Uttarakhand, India.
Apoorv TiwariBioinformatics Sub-DIC, Department of Molecular Biology & Genetic Engineering, College of Basic Science and Humanities, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Udham Singh Nagar, 263145, Uttarakhand, India.
Gohar TajBioinformatics Sub-DIC, Department of Molecular Biology & Genetic Engineering, College of Basic Science and Humanities, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Udham Singh Nagar, 263145, Uttarakhand, India.
Dev Bukhsh SinghDepartment of Biotechnology, Siddharth University, Kapilvastu, Siddharth Nagar, 272202, Uttar Pradesh, India.
Sakshi SinghDepartment of Molecular and Human Genetics, Banaras Hindu University, Varanasi, 221005, India.
Sundip KumarBioinformatics Sub-DIC, Department of Molecular Biology & Genetic Engineering, College of Basic Science and Humanities, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Udham Singh Nagar, 263145, Uttarakhand, India. malik.sundip@gmail.com.
Govind Ballabh Pant University of Agriculture and Technology · INBanaras Hindu University · INSiddhartha Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOvarian cancer is the world's dreaded disease and its prevalence is expanding globally. The study of integrated molecular networks is crucial for the basic mechanism of cancer cells and their progression. During the present investigation, we have examined different flavonoids that target protein kinases B (AKT1) protein which exerts their anticancer efficiency intriguing the role in cross-talk cell signalling, by metabolic processes through in-silico approaches.

methodMolecular dynamics simulation (MDS) was performed to analyze and evaluate the stability of the complexes under physiological conditions and the results were congruent with molecular docking. This investigation revealed the effect of a point mutation (W80R), considered based on their frequency of occurrence, with AKT1 protein.

resultsThe ligand with high docking scores and favourable behaviour on dynamic simulations are proposed as potential W80R inhibitors. A virtual screening analysis was performed with 12,000 flavonoids satisfying Lipinski's rule of five according to which drug-likeness is predicted based on its pharmacological and biological properties to be active and taken orally. The pharmacokinetic ADME (adsorption, digestion, metabolism, and excretion) studies featured drug-likeness. Subsequently, a statistically significant 3D-QSAR model of high correlation coefficient (R2) with 0.822 and cross-validation coefficient (Q2) with 0.6132 at 4 component PLS (partial least square) were used to verify the accuracy of the models. Taxifolin holds good interactions with the binding domain of W80R, highest Glide score of - 9.63 kcal/mol with OH of GLU

conclusionNatural compounds have always been a richest source of active compounds with a wide variety of structures, therefore, these compounds showed a special inspiration for medical chemists. The present study has aimed molecular docking and molecular dynamics simulation studies on taxifolin targeting W80R mutant protein of protein kinase B/serine- threonine kinase/AKT1 (EC:2.7.11.1) protein of ovarian cancer for designing therapeutic intervention. The expected result supported the molecular cause in a mutant form which resulted in a gain of ovarian cancer. Here we discussed validations computationally and yet experimental evaluation or in vivo studies are endorsed for further study. Several of these compounds should become the next marvels for early detection of ovarian cancer.

Indexed as

FemaleFlavonoidsHumansMolecular Docking SimulationOvarian NeoplasmsPoint MutationProto-Oncogene Proteins c-aktQuantitative Structure-Activity RelationshipAKT1 protein, humanFlavonoidsProto-Oncogene Proteins c-aktADMEAKT1Dynamic simulationsPoint mutationQSARVirtual docking

Identifiers

PMID34727985
PMCPMC8564994
OpenAlexW3127232458

What OpenQuestion holds

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LicenceCC BY
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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.