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7th Hands-on Computational Enzyme Design Course

9 - 13 FEBRUARY, 2026
online
ONLINE

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.

On the last day (optional), we will provide knowledge and training on processing experimental kinetic data (NEW this year!)

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 5-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, AlphaFillAlphaFold, Caver, CaverDockCaver Web, ChannelsDB, EnzymeMiner, ESMFold, FireProt, FireProtASR, FireProtDB, HotSpot WizardLoopGrafter, ProteinMPNN, RF Diffusion, SoluProtSoluProtMutDB, KinTek Explorer, DynaFit, BioEmu, ESM-Flow, Boltz-2, Tamarind, LigandMPNN, and CalFitter. 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 were: the 2nd in May 2021 (online), the 3rd in May 2022 (online), the 4th in May 2023 (hybrid mode), the 5th in February 2024 (online), and the 6th in June 2025 (in-person).

Over the years, we have trained 311 participants from 40 different countries, both from academia (75%) and industry (25%), and we have granted 10 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)
Three pillars of the course

theory

Theoretical lectures will cover the scientific background and state-of-the-art. The essence of each field required to understand the theory behind the studied tools will be presented.

practice

„Learning by doing“ is the most efficient and enjoyable way to learn. The tool developers will guide you individually through the tutorials, interact, and discuss.

networking

It is pleasant and useful to meet peers working on similar research topics from all over the world. Networking will take place at the opening and during the breaks.

LECTURERS

Barbora Kozlíková
Biomolecular visualisations
David Bednář
Mining novel enzymes in databases
David Lacko
Design by machine learning
Elisabet Maňásková
Machine learning tools for protein desing
Jan Byška
Biomolecular visualization
Jiří Damborský
computational enzyme design
Joan Planas-Iglesias
sequence similarity search strategies
Martin Havlásek
Engineering aggregation-resistant proteins
Martin Toul
Enzyme kinetics and mechanisms
Miloš Musil
engineering of protein stability
Ondřej Vávra
Design enzyme tunnels and channels
Pavel Kohout
Machine Learning for Protein Engineering
Pavel Vaňáček
Enzyme kinetics and mechanisms
Petr Kabourek
Service monitoring and maintenance
Sérgio Marques
Engineering catalytic activity and specificity
Stanislav Mazurenko
design by machine learning
Tim de Martines
Homology modelling and design of libraries
Zbyněk Prokop
Enzyme kinetics and mechanisms

VIDEO ABOUT LOSCHMIDT LABORATORIES

Program

The course will take place in 9 – 13 February, 2026, and will run approximately from 9 am to 6:00 pm (Brno time, CET).

The program will be composed of a main scientific part, with theoretical lectures, hands-on sessions, and user-personalized cases. For the latter, we will include personalized “User cases” sessions, where the participants will practice the tools on their own systems of interest, always with our assistance.

On the 5th and final day, we will provide optional training on processing experimental kinetic data (no extra fee).

SCIENTIFIC PROGRAM

Main topics that will be covered:

  • Mining and analysis of novel enzymes
  • Engineering protein stability and solubility
  • Engineering enzyme activity and specificity
  • Machine learning applied to protein engineering
  • Enzyme kinetics and mechanisms (optional; NEW!)

Venue

The 7th edition of the course will take place online.

PARTICIPATION FEES & REGISTRATION

The registrations to the course will be open between 15 October and 15 December 2025. Early-bird discounts apply.

The course has a limited numbers of participants. To register, click on the button below “I want to apply”. After the registration, your acceptance has to be confirmed. Do not miss your chance and register ASAP!

The registration fees include:

  • Attendance to all scientific sessions
  • Course materials: slides from the lectures, step-by-step protocols, useful tips & tricks, relevant literature
  • Personalized hands-on sessions
  • Extra Enzyme Kinetics session
  • Graduation certificate
AcademiaIndustry
Early
Until 30 November, 2025
490 EUR790 EUR
Late
Until 15 December, 2025
590 EUR890 EUR

SCHOLARSHIPS

At our academy, we promote education above all. To support this mission, we offer scholarships to (i) students with limited financial resources, and (ii) scientists affected by armed conflicts, such as the ongoing situation in Ukraine. These scholarships will cover only the registration fees.
To apply, please email us at LL.academy.general@gmail.com with: 1) a motivation letter, and 2) your CV. In the motivation letter, you should explain your interest in the course and the reasons why you require financial support. To secure your spot, please pre-register using the “I want to apply” button above and include a note indicating your intent to apply for the scholarship. Applications that fail to comply with these instructions will not be considered.

The scholarships awardees for the 7th Hands-on Course are:

  • Julieta Beiro, Universidad Nacional de Quilmes, Argentina
  • Sukriti Sacher, Indraprastha Institute of Information Technology Delhi, India

Contact us

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