Our Expertise

Section · N° 03

Computational depth meets biological intuition

From structural biology to machine learning, ProtoVela combines complementary disciplines — rational protein design over directed evolution — to solve real protein engineering challenges faster, smarter, and entirely in silico.

N° 01

Structure-based protein design

Rational design grounded in 3D structural data — engineering proteins with precise function, stability and manufacturability in mind.

Pillar · 01

N° 02

Sequence engineering

Computational sequence engineering with targeted mutation strategies for better expression, solubility and shelf life.

Pillar · 02

N° 03

Machine learning models

Modern ML and AI architectures trained on protein datasets — for property prediction and de novo variant design.

Pillar · 03

N° 04

Bioinformatic pipelines

Custom workflows from sequence analysis to structural simulation — built to integrate with your stack.

Pillar · 04

N° 05

Stability & expression

Improve thermal and storage stability and enhance recombinant expression in your host system.

Pillar · 05

N° 06

Predictive modeling

Simulate molecular behaviour before any wet-lab investment — saving time, budget and resources.

Pillar · 06

N° 07

Wet-lab-ready outputs

All designs are documented and prioritized to translate seamlessly into experimental validation.

Pillar · 07

N° 08

Confidential collaboration

We treat your IP and data with the highest standards of scientific and contractual care.

Pillar · 08

N° 09

De novo miniprotein therapeutics

Hyperstable miniproteins as a compact alternative to monoclonal antibodies — engineered for stability, manufacturability and tissue penetration.

Pillar · 09

N° 10

Antimicrobial peptides (AMPs)

Computational design of antimicrobial peptides — focused on overcoming bacterial efflux pumps and on clean resistance profiles.

Pillar · 10

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Explore further

Five entry points into ProtoVela — from process and proof to the intro call.