Evidence map›Paper›PMID 37747672›Full record

ArticleMolecular biotechnology2024

Exploring the Synergistic Mechanism of AP2A2 Transcription Factor Inhibition via Molecular Modeling and Simulations as a Novel Computational Approach for Combating Breast Cancer: In Silico Interpretations.

Vidya Niranjan, Anagha S Setlur, Chandrashekar K, Sneha Kumkum, Sanjana Dasgupta, Varsha Singh, Vrushali Desai, Jitendra Kumar

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Article in Molecular biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Alternative splicing of transposable elements in human breast cancer.bioRxiv : the preprint server for biology · 2024
    Article
  4. Article
4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Vidya NiranjanDepartment of Biotechnology, RV College of Engineering, Bangalore, 560059, India. vidya.n@rvce.edu.in.ORCID http://orcid.org/0000-0001-9187-7753
Anagha S SetlurDepartment of Biotechnology, RV College of Engineering, Bangalore, 560059, India.
Chandrashekar KDepartment of Biotechnology, RV College of Engineering, Bangalore, 560059, India.
Sneha KumkumDepartment of Biotechnology, RV College of Engineering, Bangalore, 560059, India.
Sanjana DasguptaDepartment of Biotechnology, RV College of Engineering, Bangalore, 560059, India.
Varsha SinghDepartment of Biotechnology, RV College of Engineering, Bangalore, 560059, India.
Vrushali DesaiDepartment of Biotechnology, RV College of Engineering, Bangalore, 560059, India.
Jitendra KumarBiotechnology Industry Research Assistance Council (BIRAC), CGO complex Lodhi Road, New Delhi, India. md.birac@nic.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies have shown that transcription factor AP2A2 (activator protein-2 alpha-2) is involved in the expression of DLEC1, a tumor suppressor gene, which, when mutated, will cause breast cancer and is thus an excellent target for breast cancer studies. Therefore, in the present research, a synergistic approach toward combating breast cancer is proposed by blocking AP2A2 factor, and allowing the cancer cells to be sensitive to anti-cancer drugs. The effect of AP2A2 on breast cancer was first understood via gene analysis from cBioPortal. AP2A2 was then modeled using RaptorX and its structure was validated from Ramachandran plots. Using all ligands from MolPort database, molecular docking was performed against AP2A2, from which the top three best docked ligands were studied for toxicity in humans using Protox-II. Once the ligands passed these tests, the best complexes were simulated at 200ns in Desmond Maestro, to comprehend their stabilities, followed by the computations of free energies of binding via Molecular mechanics- Generalized Born Solvent Accessibility method (MM-GBSA). The results showed that molecules MolPort-005-945-556 (sachharolipids), MolPort-001-741-124 (flavonoids), and MolPort-005-944-667 (lignan glycosides) with AP2A2 passed toxicity evaluation and belonged to toxicity classes 6, 5, and 5, respectively, with good docking energies. 200 ns simulations revealed stable complexes with slight conformational changes. Stability of ligands was confirmed via snapshots at every 20 ns of the trajectory. Radial distribution of these molecules against the protein revealed very slight deviation from binding pocket. Additionally, the free binding energies for these complexes were found to be - 54.93 ± 12.982 kcal/mol, - 44.39 ± 14.393 kcal/mol, and - 66.51 ± 13.522 kcal/mol, respectively. A preliminary computational validation of the inability of AP2A2 to bind to DLEC1 in the presence of ligands offers beneficial insights into the potential of these ligands. Therefore, this study sheds light on the potential natural molecules that could stably block AP2A2 with least deviation and act in synergy to aid anti-cancer drugs work on breast cancer cells.

Indexed as

Breast NeoplasmsMolecular Docking SimulationMolecular Dynamics SimulationTranscription Factor AP-2Antineoplastic AgentsComputer SimulationFemaleHumansLigandsProtein BindingThermodynamicsAntineoplastic AgentsLigandsTranscription Factor AP-2AP2A2Breast cancerDLEC1Free energy of bindingMolecular docking and simulationsSynergism

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