Affordable, reliable, and high-fidelity computational biology protocols designed to complement experimental laboratory data.
1. Custom Molecular Dynamics (MD) Simulations
Objective: Gain physical insights into biomolecular behaviors over time.
What we deliver: Standard MD simulation trajectories, structural analysis reports (RMSD, RMSF, hydrogen bonding patterns), and publication-ready structural representations.
Perfect for: Academic labs needing high-resolution simulation data to support a paper submission or grant proposal.
2. Virtual Screening of Compounds
Objective: Filter large chemical libraries down to the most viable binding candidates.
What we deliver: Molecular docking studies, binding affinity scoring, and categorized lists of top-performing compound structures.
Perfect for: Laboratories initiating a drug discovery program on a limited budget.
3. Lead Optimization & Basic Drug Discovery Pipelines
Objective: Refine hits into lead structures with improved calculated affinity and pharmacokinetic profiles.
What we deliver: Computational modifications of functional groups, re-docking protocols, and ADME property prediction profiles.
Perfect for: Translational research projects aiming for in-vivo testing phases.
4. Academic Project Consultation & Review
Objective: Expert feedback on computational biology manuscripts, grant protocols, or pipeline designs.
What we deliver: Critical review, protocol suggestion reports, and data interpretation support to ensure your computational results are interpreted effectively.
Perfect for: Non-computational labs looking to add rigorous in-silico components to their research.