AI-native methodology
Built around modern machine learning, not retrofitted onto legacy workflows.
ProtoVela was founded on a simple belief: the next wave of protein innovation will be designed, not just discovered. Here's why partners choose us.
Built around modern machine learning, not retrofitted onto legacy workflows.
Founded by a scientist with decades of experience in membrane proteins, VDAC structural analysis, X-ray crystallography and protein chemistry.
No wet-lab overhead — predictive in silico work dramatically reduces cost per iteration.
Reducing wet lab iterations through in silico design — iterate in days, not months. Move from concept to validated design at startup speed.
Designs that translate — ready for your team to express, test and validate.
Transparent collaboration, clear documentation and full IP ownership in generative protein design — all rights remain with the customer.
With ProtoVela, your proteins become market-ready faster and more reliable. We bring your most challenging molecules into the realm of the possible.
Every ProtoVela design pipeline can be tuned toward the parameters that matter most for your molecule and your market.
Higher recombinant expression yield through sequence optimization in the appropriate host system — fewer batches, lower cost per gram of protein.
Reduced aggregation and improved behaviour at high concentrations for formulation and storage.
Elevated melting temperature (Tm) — proteins that survive process, transport and shelf conditions.
Engineered for extended shelf life under realistic storage conditions.
Resistance to enzymatic degradation — critical for in vivo half-life and downstream processing.
Sequence space designed for clean IP — distinct from prior art and ready for protection.
A structured pipeline from client sequence to delivered candidate set — fully in silico, ready for wet-lab validation.
In-depth assessment of the client's target sequence and project goals.
Identification of related and homologous structures from public and proprietary databases.
Generation of candidate de novo structures where no suitable template exists.
Identification of critical residues — catalytic, structural, interface and stability hotspots.
Sequence optimization combining generative models, evolutionary signal and physics-based scoring.
In silico validation of each design — energetics, dynamics and predicted properties.
Ranking of designs against the original target profile and feasibility criteria.
Curated set of sequences delivered for cloning, expression and downstream processing.
Limitless computational power applied to molecular discovery.
Entirely in silico approaches — no wet lab dependencies.
Combined leadership rooted in protein science and structural biology.
We help you overcome one of biotech's biggest hurdles — protein stability. With ProtoVela's in silico stability optimization and in silico drug discovery partnerships, your proteins become market-ready faster and more reliable.
Five entry points into ProtoVela — from process and proof to the intro call.
Services, molecule classes and scientific application areas in detail.
Principles, optimisation targets and the eight-step design process.
Team, location and scientific leadership behind ProtoVela.
Field notes on AI, structural biology and protein design.
Book a free intro call and Project Assessment.