Computational & Bioinformatic Services — From Sequence to Structure

Data-driven insights for molecular innovation.

We deliver bioinformatic analyses that combine physics-based protein modeling with generative AI. From sequence alignments and homology searches through structural modeling and molecular-dynamics work to PDB rendering, we close the gap between raw biological data and decisions that actually have consequences in the lab and in your program.

A particular focus is membrane proteins: structure prediction for transporters, channels and pore-forming proteins, VDAC analysis, and a deliberate approach to the well-known limitations of AlphaFold2 on flexible, lipid-embedded or oligomeric systems. Where prediction alone is not enough, we add physics-based refinement and curated structural references drawn from decades of structural biology work.

Typical deliverables include annotated structural models with confidence and quality metrics, interface and binding-site analyses, MD-based stability and dynamics profiles, and publication- or presentation-ready PDB renderings.

Everything we hand over is documented, reproducible and integration-friendly — as reports, structure files and, where useful, versioned workflows that your internal team can build on without vendor lock-in.