7th Hands-on Computational Enzyme Design Course

We are thrilled to invite you to the 7th Hands-on Computational Enzyme Design Course!

9–13 February 2026 | Online
Registration opens on 14 October!

Ready to engineer your protein of interest?
Imagine designing mutations and building libraries with powerful, user-friendly software — no tedious installations, no Unix command lines. Just one streamlined platform bringing everything together.

– Course: Hands-on Computational Enzyme Design Course
– Photos: Photos from past years – Hands-on Computational Enzyme Design Course
– Protein Engineering Portal: Protein Engineering Portal | Loschmidt Laboratories
– Loschmidt Labs: Protein Engineering Group

This interactive 5-day training blends essential enzyme engineering theory with hands-on practice using cutting-edge tools. You’ll learn to:
– Mine new enzymes
– Engineer activity, specificity & enantioselectivity
– Improve stability & solubility
– Explore the frontiers of machine learning and quantum computing

NEW for 2026! An optional extra day dedicated to processing experimental kinetic data.

You’ll work directly with the developers and expert users of these tools, learning best practices and how to interpret results with confidence. By the end, you’ll be equipped to design proteins with tailor-made properties—for both research and industry applications.

Software & Databases Covered:
AggreProt, AlphaFill, AlphaFold, Bio-EMU, Caver, CaverDock, Caver Web, ChannelsDB, EnzymeMiner, ESMFold, ESM-Flow, FireProt, FireProtASR, FireProtDB, Flexpert, HotSpot Wizard, LoopGrafter, ProteinMPNN, RF Diffusion, SoluProt, SoluProtMut, SoluProtMutDB, KinTek Explorer, DynaFit, CalFitter … and brand-new ML models.

Plus, we’re exploring the exciting option of running a quantum computer calculation live during the course!

Who should join?
– Protein & metabolic engineers with no prior computational experience
– Experts who want to expand their toolbox
– Doctoral students, postdocs, and staff from both academia and industry

So far, we’ve trained 311 participants from 40 countries (75% academia, 25% industry) and granted 10 scholarships. 55,000+ computational jobs were executed on our servers in 2024 alone.