Identification of PTP1B Allosteric Inhibitors Through Virtual Screening

Protein tyrosine phosphatase 1B (PTP1B), a prototypical member of the PTP family, has been identified as a key therapeutic target for Type 2 Diabetes Mellitus (T2DM). More recently, PTP1B has emerged as a regulator of immune responses in cancer, further highlighting its potential for metabolic and immunomodulatory therapies. However, the high conservation of the catalytic site across the PTP family has made the development of selective PTP1B inhibitors challenging. To overcome this limitation, recent efforts have focused on allosteric inhibition, particularly through benzofuran sulfonamide derivatives, which offer a promising route to achieve selectivity. Here, we report the virtual screening approach toward the identification of several potent and selective allosteric inhibitors of PTP1B. Using the co-crystal structure of PTP1B bound with a known allosteric ligand, we screened a library of 32,596 compounds against the allosteric pocket and identified 81 candidate compounds with high affinity. 3 representative compounds were chosen manually by structural uniqueness for further studies, including Prime MM-GBSA analysis and Molecular Dynamics (MD) simulation experiment. ADME analyses and Density Functional Theory (DFT) calculations were assessed to further characterize the pharmacokinetic behavior and interaction potential of the screened compounds. Together, these findings establish a structural and dynamic framework for designing selective PTP1B allosteric inhibitors, offering new opportunities for therapeutic development in diabetes and cancer immunotherapy.

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Publication Details

Journal
Journal of Computational Biophysics and Chemistry
Published
2025-12-26
DOI
https://doi.org/10.1142/s2737416526500493
Primary Topic
Protein Tyrosine Phosphatases
Type
article
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article

Identification of PTP1B Allosteric Inhibitors Through Virtual Screening

Rajamanikandan Sundarraj, Zhiguang Yuchi, Lantao Lu, Duqiang Luo et al.
Journal of Computational Biophysics and Chemistry
Protein Tyrosine Phosphatases
article

Identification of PTP1B Allosteric Inhibitors Through Virtual Screening

Rajamanikandan Sundarraj, Zhiguang Yuchi, Lantao Lu, Duqiang Luo, Lei Li, Yilong Li, Jun Zhang, Hanmeng Liu, Meijing Dong
article en

Abstract

Protein tyrosine phosphatase 1B (PTP1B), a prototypical member of the PTP family, has been identified as a key therapeutic target for Type 2 Diabetes Mellitus (T2DM). More recently, PTP1B has emerged as a regulator of immune responses in cancer, further highlighting its potential for metabolic and immunomodulatory therapies. However, the high conservation of the catalytic site across the PTP family has made the development of selective PTP1B inhibitors challenging. To overcome this limitation, recent efforts have focused on allosteric inhibition, particularly through benzofuran sulfonamide derivatives, which offer a promising route to achieve selectivity. Here, we report the virtual screening approach toward the identification of several potent and selective allosteric inhibitors of PTP1B. Using the co-crystal structure of PTP1B bound with a known allosteric ligand, we screened a library of 32,596 compounds against the allosteric pocket and identified 81 candidate compounds with high affinity. 3 representative compounds were chosen manually by structural uniqueness for further studies, including Prime MM-GBSA analysis and Molecular Dynamics (MD) simulation experiment. ADME analyses and Density Functional Theory (DFT) calculations were assessed to further characterize the pharmacokinetic behavior and interaction potential of the screened compounds. Together, these findings establish a structural and dynamic framework for designing selective PTP1B allosteric inhibitors, offering new opportunities for therapeutic development in diabetes and cancer immunotherapy.

Journal of Computational Biophysics and ChemistryVol. 25(11)
Tianjin Medical University Cancer Institute and Hospital (CN), Fifth Tianjin Central Hospital (CN), Tianjin Institute of Pharmaceutical Research (China) (CN), Hebei University (CN), Tianjin Medical University (CN)
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Openalex Percentile: Top 36%
Protein Tyrosine Phosphatases
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