Ajay Neginhal

These pipelines compute CARDS allostery metrics from molecular dynamics trajectories, producing coupling maps and summaries that connect dynamics to biological function.

ResearchTBDComputational Researcher

CARDS / Allostery Analysis Pipelines

Pipelines to compute CARDS allostery metrics and map coupled dynamics in protein systems.

Figure coming soon
Allostery analysis workflow (placeholder).
AllosteryMolecular DynamicsData PipelineResearchPython

Key Reminders

  • Describe CARDS metrics and how they reveal coupled motions.
  • Explain batching strategies for large trajectory sets.
  • Discuss how results inform biological hypotheses.

Technologies

PythonNumPySciPyMDAnalysispandasMatplotlib

Problem and Scope

Built analysis workflows to compute CARDS metrics, enabling quantitative mapping of allosteric coupling across protein regions.

System Architecture

The pipeline preprocesses trajectories, computes CARDS statistics, and summarizes coupling networks for interpretation.

Figure coming soon
Pipeline schematic placeholder.

python code

Code example forthcoming

CARDS metric computation loop.

Data Products

Outputs include coupling matrices, residue-level summaries, and annotated visualizations for research reporting.

Figure coming soon
Coupling matrix plot placeholder.

Testing and Validation

Verified metric stability across replicates and compared to reference datasets for consistency.

Figure coming soon
Validation plots placeholder.

Demo and Next Steps

Future work includes automated report generation and integration with lab-wide data repositories.

Figure coming soon
Demo video placeholder.