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Updated: May 11, 2025

Determination of the Relative Potency of an Anti-TNF Monoclonal Antibody mAb by Neutralizing TNF Using an In Vitro Bioanalytical Method
Published on: September 16, 2017
PPI networking, in-vitro expression analysis, virtual screening, DFT, and molecular dynamics for identifying natural
Yogaswaran Velmurugan1, Nandhini Chakkarapani1, Sathan Raj Natarajan2
1Centre of Advanced Study in Crystallography and Biophysics, University of Madras, Guindy Campus, Chennai, Tamil Nadu, 600025, India.
Abstract:
In humans, rheumatoid arthritis (RA) is a deadly autoimmune disease that affects bone health. Although the specific etiology of RA is unknown, scientific evidence suggests that smoking, genetic abnormalities, and environmental factors may all contribute to the disease's progression. We employed protein-protein interaction (PPI) networking analysis to identify a possible therapeutic target for RA. The lead-like molecule for the selected target was then found via virtual screening in the Indian medicinal plants phytochemistry and therapeutics database. Molecular dynamics has confirmed the stability of drug target-lead-like molecule complexes. The networking analysis identifies TNF-α as a potential therapeutic target for RA. TNF-α expression was verified using in vitro studies. Cassamedine was identified as a possible lead molecule among 17,967 chemicals in the Indian Medicinal Plants Phytochemistry and Therapeutics database using virtual screening experiments. The molecular docking results of the lead compound interaction with TNF-α were clarified by the quantum mechanism (QM) technique, namely, density functional theory (DFT). The stability of the lead-like compound with TNF-α was confirmed using 200 ns of molecular dynamics simulations. Energy calculations using molecular mechanics Poisson-Boltzmann surface area (MMPBSA) confirm the free energy between TNF-α and lead-like molecules.
Insights
This study identifies Tumor Necrosis Factor-alpha (TNF-α) as a therapeutic target for rheumatoid arthritis (RA). Cassamedine, a compound from Indian medicinal plants, shows potential as a drug candidate for RA treatment.
Area of Science:
- Immunology
- Computational Biology
- Pharmacology
Background:
- Rheumatoid arthritis (RA) is a severe autoimmune disease impacting bone health, with unknown etiology but linked to smoking, genetics, and environmental factors.
- Identifying novel therapeutic targets is crucial for managing RA progression and improving patient outcomes.
Purpose of the Study:
- To identify a potential therapeutic target for rheumatoid arthritis (RA) using protein-protein interaction (PPI) network analysis.
- To discover a lead-like molecule from Indian medicinal plants for the identified target through virtual screening.
- To validate the stability and binding efficacy of the lead molecule with the target.
Main Methods:
- Protein-protein interaction (PPI) network analysis to identify RA therapeutic targets.
- Virtual screening of the Indian Medicinal Plants Phytochemistry and Therapeutics database for lead molecules.
- Molecular docking, quantum mechanics (DFT), molecular dynamics simulations, and MMPBSA calculations for stability and binding assessment.
Main Results:
- Tumor Necrosis Factor-alpha (TNF-α) was identified as a potential therapeutic target for RA via networking analysis and validated in vitro.
- Cassamedine was identified as a lead molecule from 17,967 compounds against TNF-α.
- Molecular dynamics and QM/MM-DFT confirmed the stability and binding affinity of Cassamedine with TNF-α.
Conclusions:
- TNF-α represents a promising therapeutic target for rheumatoid arthritis.
- Cassamedine, derived from Indian medicinal plants, demonstrates significant potential as a novel drug candidate for RA treatment.
- Computational methods effectively identified and validated a potential drug-target interaction for RA therapy.
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