COMPUTATIONAL SCREENING OF POTENT ANTI-INFLAMMATORY COMPOUNDS FOR HUMAN MITOGEN-ACTIVATED PROTEIN KINASE: A COMPREHENSIVE AND COMBINED IN SILICO APPROACH

Objective: Inflammatory diseases have a serious impact on one’s life and represent a diverse group of ailments stemming from various causes and presenting in various forms. p38α of the mitogen-activated protein kinase family plays a crucial role in regulating inflammation, where the activation of this kinase initiates a cascade of events resulting in the production of proinflammatory mediators and cellular stress responses. In this context, attempts were made to identify potent small-molecule inhibitors of p38α and assess their binding affinity through molecular docking studies. Methods: From comprehensive reviews of several published reports, a few compounds, such as P38, P39, VPC00628, and N17, have shown substantial inhibitory activity toward p38α at various concentrations. Hence, these four compounds were chosen as lead compounds, and small-molecule libraries were constructed on the basis of their structural similarity. Next, virtual screening docking was performed to investigate the inhibitory potency of the four libraries toward the p38α isoforms (DFG-out and DFG-in), providing insights into their potential mechanisms of action. Results: In addition, a comprehensive analysis of physicochemical and pharmacokinetic properties was also performed for the identified hits from each library. Our findings have shown that, compared with those of the p38α DFG-in motif, the binding energies of the p38α DFG-out motif are greater. Conclusion: Furthermore, a few compounds from each library presented binding energies higher than those of their respective lead compounds, confirming their potential as novel therapeutic agents against inflammation.

Authors

Publication Details

Journal
International Journal of Current Pharmaceutical Research
Published
2024-11-15
DOI
https://doi.org/10.22159/ijcpr.2024v16i6.6023
Citations
5
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.81
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article

COMPUTATIONAL SCREENING OF POTENT ANTI-INFLAMMATORY COMPOUNDS FOR HUMAN MITOGEN-ACTIVATED PROTEIN KINASE: A COMPREHENSIVE AND COMBINED IN SILICO APPROACH

BRIAN BASTO FRANCO, Karthik Lakshminarayanan, PANDIYARAJAN AGILANDESWARI
5 citations
International Journal of Current Pharmaceutical Research
Computational Drug Discovery Methods
1.81
article

COMPUTATIONAL SCREENING OF POTENT ANTI-INFLAMMATORY COMPOUNDS FOR HUMAN MITOGEN-ACTIVATED PROTEIN KINASE: A COMPREHENSIVE AND COMBINED IN SILICO APPROACH

BRIAN BASTO FRANCO, Karthik Lakshminarayanan, PANDIYARAJAN AGILANDESWARI
article en
5 citations

Abstract

Objective: Inflammatory diseases have a serious impact on one’s life and represent a diverse group of ailments stemming from various causes and presenting in various forms. p38α of the mitogen-activated protein kinase family plays a crucial role in regulating inflammation, where the activation of this kinase initiates a cascade of events resulting in the production of proinflammatory mediators and cellular stress responses. In this context, attempts were made to identify potent small-molecule inhibitors of p38α and assess their binding affinity through molecular docking studies. Methods: From comprehensive reviews of several published reports, a few compounds, such as P38, P39, VPC00628, and N17, have shown substantial inhibitory activity toward p38α at various concentrations. Hence, these four compounds were chosen as lead compounds, and small-molecule libraries were constructed on the basis of their structural similarity. Next, virtual screening docking was performed to investigate the inhibitory potency of the four libraries toward the p38α isoforms (DFG-out and DFG-in), providing insights into their potential mechanisms of action. Results: In addition, a comprehensive analysis of physicochemical and pharmacokinetic properties was also performed for the identified hits from each library. Our findings have shown that, compared with those of the p38α DFG-in motif, the binding energies of the p38α DFG-out motif are greater. Conclusion: Furthermore, a few compounds from each library presented binding energies higher than those of their respective lead compounds, confirming their potential as novel therapeutic agents against inflammation.

International Journal of Current Pharmaceutical Research
Good health and well-being
Openalex Percentile: Top 13%
Computational Drug Discovery Methods
1.81
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COMPUTATIONAL SCREENING OF POTENT ANTI-INFLAMMATORY COMPOUNDS FOR HUMAN MITOGEN-ACTIVATED PROTEIN KINASE: A COMPREHENSIVE AND COMBINED IN SILICO APPROACH — BRIAN BASTO FRANCO, Karthik Lakshminarayanan, et al. · International Journal of Current Pharmaceutical Research (2024) | TGRS Research Map | TGRS