Evidence map›Paper›PMID 41710547›Full record

ArticleFrontiers in pharmacology2025

Pharmacogenomic and

Gnanaprakash Jeyaraj, Bing Yang, Kuppusamy Sathishkumar, Santosh Chokkakula, Bader O Almutairi, Weimin Xie

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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.

Gnanaprakash Jeyaraj *Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India.
Bing Yang *Department of Public Health, International School, Krirk University, Bangkok, Thailand.
Kuppusamy SathishkumarDepartment of Biotechnology, Rathinam College of Arts and Science, Coimbatore, Tamil Nadu, India.
Santosh ChokkakulaDepartment of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Chungbuk, Republic of Korea.
Bader O AlmutairiDepartment of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Weimin XieDepartment of Gynecology, Affiliated Hengyang Hospital of Hunan Normal University & Hengyang Central Hospital, Hengyang, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: AKT1 and AKT2 are central but functionally distinct kinases within the PI3K-AKT-mTOR pathway, and isoform-specific genomic alterations in these proteins have important implications for cancer prognosis and therapeutic responsiveness. This study aimed to integrate cancer pharmacogenomics with structure-based modeling to identify natural compounds capable of selectively targeting AKT1 or AKT2. Methods: Public cancer genomics datasets from TCGA and the Kaplan-Meier Plotter were analyzed to characterize mutation patterns, copy number alterations, and survival associations of AKT1 and AKT2 across malignancies. Based on isoform-specific differences, twenty phytochemicals from Pithecellobium dulce were docked against the allosteric binding sites of AKT1 (PDB: 3QKL) and AKT2 (PDB: 2JDO). Lead compounds were evaluated using ADME prediction and density functional theory to assess pharmacokinetic suitability and electronic stability. The dynamic behavior of ligand-protein complexes was examined through 200-ns molecular dynamics simulations using the Desmond-Schrödinger platform, and binding free energies were estimated via MM-GBSA analysis. Regulatory interactions involving AKT-associated non-coding RNAs were also examined to support pharmacogenomic relevance. Results: Genomic analysis revealed that AKT1 alterations were dominated by activating missense mutations, particularly the E17K hotspot, whereas AKT2 showed frequent gene amplifications that were significantly associated with poor overall survival. Docking studies demonstrated clear isoform selectivity among P. dulce phytochemicals: oleanolic acid and pitheduloside I preferentially bound AKT1, while rutin and naringin exhibited stronger affinity toward AKT2. Oleanolic acid and rutin displayed binding energies comparable to established allosteric AKT inhibitors. ADME and DFT analyses supported favorable drug-likeness and molecular stability of the lead compounds. Molecular dynamics simulations confirmed stable complex formation with persistent hydrogen bonding, and MM-GBSA calculations indicated superior binding energetics for oleanolic acid-AKT1 and rutin-AKT2 complexes relative to controls. In parallel, analysis of miR-149-5p and lncRNA HOTAIR highlighted post-transcriptional regulatory mechanisms influencing AKT isoform activity. Conclusion: This study demonstrates that integrating pharmacogenomic profiling with multiscale molecular simulations can reveal isoform-specific vulnerabilities within the AKT signaling axis. Phytochemicals derived from Pithecellobium dulce, particularly oleanolic acid and rutin, emerge as promising selective modulators of AKT1 and AKT2, respectively. These findings provide a mechanistic and structural foundation for the development of isoform-guided AKT-targeted therapies and support further experimental validation toward precision oncology applications.

Indexed as

AKT1/AKT2 inhibitionisoform selectivitymolecular dynamicsnatural product drug discoveryPithecellobium dulce

Identifiers

PMID41710547
PMCPMC12909537

What OpenQuestion holds

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Registered trials

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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.