Evidence mapPaperPMID 42494928Full record

ArticleIn silico pharmacology2026

In silico identification of novel PTP1B inhibitors by the investigation of molecular mechanism, QSAR, and DFT studies.

Humaira Zulfiqar, Samira Akter, Jarin Tasnim, Muhammad Younis, Md Mehedi Hasan, Sidra Manzoor, Sarnop Sarker, Muhammad Waqas, Khan Rajib Hossain

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Article in In silico pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Humaira ZulfiqarDepartment of Chemistry, COMSATS University Islamabad, Abbottabad, 22044 Pakistan.
Samira AkterDepartment of Pharmacy, East West University, Dhaka, 1212 Bangladesh.
Jarin TasnimDepartment of Applied Chemistry and Chemical Engineering, University of Rajshahi, Rajshahi, 6205 Bangladesh.
Muhammad YounisDepartment of Physics, Gomal University, Dera Ismail Khan, 29220 Pakistan.
Md Mehedi HasanDepartment of Applied Chemistry and Chemical Engineering, University of Rajshahi, Rajshahi, 6205 Bangladesh.
Sidra ManzoorDepartment of Chemistry, University of Agriculture, Faisalabad, 38000 Pakistan.
Sarnop SarkerDepartment of Applied Chemistry and Chemical Engineering, University of Rajshahi, Rajshahi, 6205 Bangladesh.
Muhammad WaqasDepartment of Chemistry, COMSATS University Islamabad, Abbottabad, 22044 Pakistan.
Khan Rajib HossainDepartment of Natural Science, BGMEA University of Fashion and Technology, Dhaka, 1230 Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein tyrosine phosphatase 1B (PTP1B) is a well-known and promising drug target involved in the negative regulation of insulin and leptin signaling, and new anti-diabetic molecules for the treatment of type 2 diabetes are directly in its hands. A series of PTP1B inhibitors was discovered and characterized using in silico techniques, including virtual screening, molecular docking, ADMET profiling, toxicity prediction, VEGA-QSAR analysis, molecular dynamics (MD) simulation, and density functional theory (DFT) calculations. A starting library of 1000 anti-diabetic compounds was screened, and PubChem CID 44560696 was identified as the most successful hit. The most potent inhibitor was then identified as CID 44560744 through chemical analogy-based refinement, with a binding free energy of - 9.13 kcal/mol and the ability to form several stabilizing hydrogen bonds and hydrophobic interactions with the key catalytic residues. DFT-optimized geometry and docking revealed that the lead compound shows high stability and strong PTP1B inhibition, showing superior binding affinity compared to ursolic acid, which exhibited a lower binding energy of - 6.34 kcal mol

Indexed as

ADMETDFTDockingPTP1B inhibitorsType 2 diabetes mellitusVirtual screening

Identifiers

PMID42494928
PMCPMC13391993

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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 Socratic graph.