Molecular Dynamics Research
AIRMA explores the application of Molecular Dynamics (MD) simulation and computational structural biology to understand the dynamic behaviour, stability and molecular interactions of Ayurvedic phytocompounds, proteins and biological pathways associated with neurological, inflammatory and systemic disorders.
Molecular Dynamics is an advanced computational approach that allows researchers to study how molecules behave over time under simulated physiological conditions. Unlike conventional molecular docking, which provides static interaction predictions, molecular dynamics helps evaluate the stability, flexibility and real-time interaction patterns of protein-ligand complexes.
Importance of Molecular Dynamics in Ayurveda and Modern Science
The integration of Molecular Dynamics into Ayurvedic research provides an evidence-based scientific platform for evaluating traditional herbal compounds and formulations at the molecular level.
This approach helps:
- Understand the stability of Ayurvedic phytocompounds with biological targets
- Predict therapeutic efficacy and interaction behaviour
- Improve formulation design and drug optimization
- Reduce the need for expensive preliminary wet-lab experiments
- Support translational and precision medicine research
- Bridge traditional Ayurvedic concepts with modern computational biology
Cost-Effectiveness for Ayurveda Pharmacies and Research
Molecular Dynamics and computational screening approaches can significantly reduce research and development costs for Ayurveda pharmacies and herbal industries by enabling early-stage virtual screening of compounds before large-scale laboratory investment.
Potential advantages include:
- Reduction in unnecessary experimental trials
- Faster identification of promising phytocompounds
- Improved formulation optimization
- Cost-effective preliminary toxicity and interaction analysis
- Better scientific validation of classical formulations
- Enhanced global scientific acceptance of Ayurveda-based products
These computational approaches can support smaller Ayurveda research organizations and pharmacies by providing relatively low-cost exploratory scientific platforms using open-source and cloud-based computational tools.
Ongoing Molecular Dynamics Research Projects
- Molecular Dynamics Simulation of Ayurvedic Neuroprotective Compounds
Project Focus:
Evaluating the structural stability and interaction dynamics of Ayurvedic neuroprotective phytocompounds with neurological target proteins.
Research Areas:
- Neuroprotection
- Protein-ligand stability
- Molecular simulation
- Computational neuroscience
Status: Ongoing (Searching for fund)
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- Dynamic Stability Analysis of Vayasthapana Mahakashaya Bioactives Against SIRT1 and mTOR Pathways
Project Focus:
Studying long-term molecular interaction stability of anti-aging Ayurvedic compounds against longevity-associated signaling pathways.
Research Areas:
- Healthy aging
- Longevity biology
- Molecular dynamics
- Systems pharmacology
Status: Ongoing (Searching for fund)
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- Molecular Dynamics Evaluation of Dopamine Receptor Complexes in Autism-Associated Hyperactivity Research
Project Focus:
Assessing the dynamic interaction behaviour of propranolol with dopamine D2 and D4 receptor complexes associated with neurobehavioral modulation.
Research Areas:
- Neuropharmacology
- Autism spectrum disorder
- Dopamine receptor modelling
- Protein dynamics
Status: Ongoing (Searchin
- Dynamic Structural Analysis of Neuro-Inflammatory Protein Targets Against Ayurvedic Rasayana Compounds
Project Focus:
Investigating the conformational stability and interaction dynamics of Ayurvedic Rasayana compounds with neuro-inflammatory protein targets including NLRP3 inflammasome and TLR4 pathways.
Research Areas:
- Neuroinflammation
- Molecular simulation
- Rasayana pharmacology
- Structural bioinformatics
Status: Ongoing (Searching for fund)
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- Molecular Dynamics and Blood-Brain Barrier Interaction Studies of Traditional Shirodhara Formulations
Project Focus:
Studying dynamic molecular interactions and blood-brain barrier permeability behaviour of compounds associated with traditional Shirodhara formulations.
Research Areas:
- Blood-brain barrier transport
- Sleep neuroscience
- Anxiety pathways
- Computational pharmacology
Status: Ongoing (Searching for fund)
AIRMA continues to explore the role of advanced computational methodologies in strengthening evidence-based interdisciplinary Ayurveda research and translational healthcare innovation.
In Silico Mapping of Autoantibody-Mediated Competitive Inhibition at the Human Folate Receptor Alpha (FOLR1) Binding Pocket
Description
This study elucidates the structural biology mechanism behind autoantibody-mediated Cerebral Folate Deficiency (CFD). Using high-fidelity AlphaFold3 structural modeling coupled with HADDOCK 2.5 data-driven docking algorithms, we simulated the molecular interaction between the human Folate Receptor Alpha (FOLR1) and patient-derived blocking autoantibodies.
Thermodynamic clustering analysis identified a highly stable, electrostatically driven interfacial complex (Cluster 2, HADDOCK score: -63.2) anchored directly over the functional receptor core. Visualized through LigPlot+ analysis, the antibody’s hypervariable complementarity-determining regions (CDRs) establish robust hydrophobic interactions and spatial occupation over critical gatekeeper residues Trp102(A), His135(A), and Trp140(A).
Because these targeted residues comprise the precise native coordination cage required for ligand binding, this model provides definitive visual and mathematical proof of automated competitive antagonism. This work effectively bridges the gap between clinical antibody testing and physical atomic occlusion, offering a foundational structural template for targeted therapeutic displacement strategies.