Evidence map›Paper›PMID 35831728›Full record

ArticleMolecular diversity2023

Screening of potent STAT3-SH2 domain inhibitors from JAK/STAT compound library through molecular dynamics simulation.

Suryaa Manoharan, Ajithkumar Balakrishnan, Vedagiri Hemamalini, Ekambaram Perumal

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular diversity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-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

8 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. STAT3 signaling inhibitors for cancer treatment.Trends in pharmacological sciences · 2026
    Review
  3. Review
  4. Review
  5. Science advances · 2024
    Article
  6. Article
  7. Article
  8. Review
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

4 authors at 1 institution in 1 country.

Suryaa ManoharanDepartment of Biotechnology, Bharathiar University, Coimbatore, Tamil Nadu, 641046, India.
Ajithkumar BalakrishnanDepartment of Bioinformatics, Bharathiar University, Coimbatore, Tamil Nadu, 641046, India.
Vedagiri HemamaliniDepartment of Bioinformatics, Bharathiar University, Coimbatore, Tamil Nadu, 641046, India.
Ekambaram PerumalDepartment of Biotechnology, Bharathiar University, Coimbatore, Tamil Nadu, 641046, India. ekas2009@buc.edu.in.ORCID http://orcid.org/0000-0003-2159-8198
Bharathiar University · IN

Funding

Bharathiar University BU./RUSA2.0/BCTRC/2020/BCTRC-CT06
6 · The paper itself

Abstract

The Signal Transducer and Activator of Transcription 3 (STAT3) protein is activated consistently in the tumor cells and thus studied as a potent target for cancer prevention. The TYR705-phosphorylated (pTyr) STAT3 forms a homo-dimer by binding to its recognition site in the Src Homology 2 (SH2) domain of another STAT3 monomer, causing cellular survival, proliferation, inflammation, and tumor invasion. Many inhibitors of STAT3-SH2 have recently been identified using both computational and experimental approaches. In this study, we used molecular docking, Absorption, Distribution, Metabolism, and Excretion/Toxicological (ADME/tox) and molecular dynamics modeling to examine binding affinities and specificities of 191 inhibitor drugs from the SELLECKCHEM database. The binding free energies of the inhibitors were calculated by Induced Fit Docking (IFD) prime energy. The binding hotspots of STAT3-SH2 were evaluated via binding energy decomposition and hydrogen bond distribution analysis, and the inhibitor compound's stability was assessed through MD simulation. (-)-Epigallocatechin gallate, Kaempferol-3-O-rutinoside, Picroside I, Saikosaponin D, and Ginsenoside Rk1 were found to be the top hit inhibitor compounds. They exhibited an exceptional docking score, a low binding free energy, interacted with the key amino acid residue, and showed significant ADME/tox moderation. These compounds were further proved to be favorable by their stability in an MD simulation run for 100 ns using GROMACS software. The inhibitors (-)-Epigallocatechin gallate, Kaempferol-3-O-rutinoside, and Saikosaponin D show improved stability in molecular dynamic modeling and are expected to have a significant STAT3-SH2 inhibitory effect against cancer.

Indexed as

src Homology DomainsSTAT3 Transcription FactorMolecular Docking SimulationMolecular Dynamics SimulationOleanolic AcidSaponinsOleanolic Acidsaikosaponin DSaponinsSTAT3 Transcription FactorBioactive compoundsIFDMolecular dynamics simulationSTAT3-SH2 inhibitorXP

Identifiers

PMID35831728
OpenAlexW4285392853

What OpenQuestion holds

Textmetadata
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.