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6th Hands-on Computational Enzyme Design Course
2 - 5 JUNE, 2025, Brno, CZECHIA
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IN-PERSON
About the course
Do you need to engineer your protein of interest? Do you wish to employ user-friendly one-stop-shop software tools for the design of mutations and libraries, but do not want to spend time on tedious installations or use the Unix command-line? This interactive course will provide essential theory on different areas of enzyme engineering and hands-on experience with several software tools suitable for mining new enzymes, and engineering the activity, specificity, enantioselectivity, stability, and solubility of enzymes. To remain at the cutting edge of scientific advancements, we will also explore the applications of machine learning techniques and quantum computing in enzyme design.

You will have the chance to learn from the developers or experienced users of those tools, and discuss the optimal ways to set-up calculations and adequately interpret the results. At the end of this 4-day course, you will be able to design different properties of proteins for your academic research or commercial applications on your own.

Software and databases covered: AggreProt, AlphaFill, AlphaFold, Caver, CaverDock, Caver Web, ChannelsDB, EnzymeMiner, ESMFold, FireProt, FireProtASR, FireProtDB, HotSpot Wizard, LoopGrafter, ProteinMPNN, RF Diffusion, Solubis, SoluProt and SoluProtMutDB. Our web-tools integrate multiple individual software, and altogether, you will get automated access to more than 50 computational methods and 15 databases.

Who should participate
The course is primarily meant for protein and metabolic engineers with no prior experience in computer modeling and bioinformatics. The experts willing to broaden their current computational protein design toolbox will also benefit from this course. Doctoral students, postdocs, and staff members from both academia and companies are welcome.

Previous editions
The 1st Hands-on Computational Enzyme Design Course was hosted in the classical in-person format and took place in Brno, Czech Republic, in February 2020. We had more than 30 participants from 12 countries, about 70% from academia (ex.: Zurich University, KTH Royal Institute, Georgia Institute of Technology) and 30% from industry (ex.: Pfizer, Novartis Pharma, Johnson & Johnson).

The following editions of the Hands-on Computational Enzyme Design Course took place in May 2021 (online), May 2022 (online), May 2023 (hybrid mode), and the 5th in February 2024 (online). In this last one we trained nearly 80 participants from 22 countries, also from academia (72%) and industry (28%), and we granted 4 scholarships.

The participants learned the background theory of computational enzyme design, practiced the exercises provided and worked on their own problems of interest, always assisted by our team of experts. Knowledge and experience were exchanged in a friendly and interactive environment. The feedback was extremely positive in both on-site and online editions. Here is a selection of testimonies from the participants:

Excellent course set up! It helped me to understand more the bioinformatics tools and encouraged me to use them in the future. (Academia, online)
‌‌The course is a very good introduction to computational enzyme engineering for non-bioinformaticians. The open discussions and useful computer exercises gave me a better understanding of the field (…) Besides the quality of the course contents, I have to say the social program and hospitality of the organizers were superb. I would definitely recommend it! (Academia, in-person)
‌Excellent organization and incredibly motivated tutors; great way to familiarize yourself with computational approaches for enzyme engineering. (Industry, in-person)
Overall I was highly impressed by the great organization of this course. Everything was prepared well in order to avoid technical issues successfully. I mostly appreciated that the tutorials were recorded and could be played and paused individually. There was always enough time to follow the tutorial and the discussion of open questions. (Industry, online)
This course was extremely well organized, and covered the basics and more advanced bioinformatics tools. I can now more confidently use these tools and apply them to my own enzymes! (Academia, online)
This is one of the best courses that I have taken in my long scientific career. All instructors are highly qualified and not only experts in their respective areas, but also have insights and can address any challenge in different research areas. All scientists and instructors are very friendly yet very diverse, which enriches the cultural diversity (…). This is a highly recommended course designed and developed by one of the leading groups in Protein Engineering in Europe and Worldwide. (Academia, in-person)