Enzyme engineering
Generate sequence variants, model enzyme-substrate systems, predict kinetic and operating properties, and prioritize candidates without managing infrastructure.
Trusted by researchers at leading biotech, pharmaceutical, academic, and materials organizations
From reference enzyme to variant library
Define the desired property profile first, preserve catalytic and conserved residues, and use complementary predictions to select variants for experimental testing.
Establish structural context, catalytic constraints, kinetic hypotheses, and operating-condition targets before redesign.
Explore sequence space while protecting catalytic residues and balancing activity, stability, solubility, and operating conditions.
Compare kinetics, thermostability, fold compatibility, and enzyme-ligand geometry to build a diverse experimental library.
Designed around the research
Available now
Define the engineering objective explicitly and combine sequence, structure, kinetics, and stability evidence before ordering a library.
Optimize enzyme stability, solubility, pH, and activity objectives.
Explore protein sequence space with guided evolution.
Predict kcat and Km ranges for enzyme-substrate pairs.
Estimate an enzyme's optimal operating pH.
Score candidate mutations with a protein language model.
Estimate mutation effects on protein thermostability.
From the Neurosnap blog
Optimization guide
Review how reference structure and explicit stability, solubility, and pH objectives shape a design campaign.
Read articleKinetics guide
Learn how sequence and substrate inputs produce comparative kcat and Km range predictions for screening.
Read articleSecurity & privacy
Submitted data and generated results remain confidential, with ownership retained by your team.
Only you and authorized colleagues can access submitted data and results.
Your results and intellectual property remain yours. No royalties or equity.
Platform controls help protect sensitive computational research.
Onboarding and integration support help organizations scale confidently.
Optimize with intent
Move from a reference enzyme to a diverse, evidence-backed set of variants ready for experimental characterization.
