
Overview
The Designing Life with AI initiative offers undergraduate and Master’s degree students a unique opportunity to experience research at the interface of artificial intelligence, protein engineering, and synthetic biology. In this program, students design, model, and experimentally test novel proteins using AI-based computational tools, biophysics, and wet-lab methods.
Facts:- About 30 students
- Teams of 1-4 students
- 8 professors
- 3 sponsors
- 3 research articles so far
Each group begins by identifying a protein design challenge, for example, a binder, a biosensor, or an integrator-and-effector protein that responds to multiple inputs. Students then conceptualize a strategy, use state-of-the-art AI design platforms and biophysics to generate and analyze protein candidates, and finally implement their designs through synthetic biology experiments in the lab.
This initiative emphasizes independent thinking and full-cycle research training. Students learn how to:
- Conceptualize projects and formulate hypotheses,
- Use and develop AI-based protein design methods,
- Design and execute experiments,
- Interpret data, and
- Communicate results.
Several projects have already led to published papers and notable successes, demonstrating the creativity, intellectual capability, and perseverance of our students.
Beyond technical skills, participants gain a real understanding of what it means to be a researcher — how to navigate uncertainty, collaborate effectively, and bring an idea from concept to completion. Important additional benefits are strong letters of recommendation, connections to industry partners, and a pathway to future graduate research.
Designing Life with AI thus serves as both a training ground and incubator for the next generation of scientists, engineers, and innovators working to merge computation and biology in transformative ways.
For more information about our current and past projects, open projects for new students, team members, news, or how to join us, please visit our website: https://www.designinglifewithai.ch/Donors and sponsors
Our projects are made possible and grow thanks to the generosity of our donors and sponsors, whose ongoing support makes all the difference!
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IBI – EPFL |
Interesting articles for inspiration
AI tools for protein design
- News and views – promise Callaway Nature 2023 Added: 2023-09-20
- News and views – critique Arnold Nature 2023 Added: 2023-09-23
- Surface fingerprints Gainza et al. Nature 2023 Added: 2023-09-20
Proteins that switch conformation
- Switch in response to peptide binding Praetorius et al. Science 2023 Added: 2023-09-21
Proteins for biological materials
- Yeast secretion technology Idiris et al. Appl. Microbiol. Biotechnol. 2010 Added: 2023-10-23
- Superstrong silkworm silk Wang et al. Matter 2022 Added: 2023-10-22
- Spider silk from silkworms Mi et al. Matter 2023 Added: 2023-10-22
- Shock-absorbing protein gels Doolan et al. Nat. Nanotechnol. 2023 Research briefing on article Added: 2023-09-20
Proteins as food (precision fermentation)
- Opportunities and challenges Youtube video Added: 2024-01-07
Enzymes for green energy
- Fatty acids to hydrocarbons using light (FAP) Samire et al. Sci. Adv. 2023 Added: 2023-09-20
Antibodies and binders
- News and views on nanobodies Voss Nature 2021 Added: 2023-09-20
- Perspective on bispecific antibodies Brinkmann and Kontermann Science 2021 Added: 2023-09-20
- TCR catch bond engineering Zhao et al. Science 2022 Added: 2023-09-20
GPCRs
- Review of sensors Kroning et al. Clin. Transl. Med. 2022 Added: 2023-10-22
- Yeast as platform for human GPCR studies Wang et al. Biochem. Pharmacol. 2021 Added: 2023-09-20
- Yeast-based directed-evolution of GPCRs Meltzer et al. Sci. Rep. 2022 Added: 2023-10-23
- Sensor for adhesion GPCR activation Scholz et al. Nature 2023 Added: 2023-09-20
- Sex and sugar in yeast Versele et al. EMBO Rep. 2001 Added: 2023-11-19
- GPCR-based yeast biosensor for cannabinoids Miettinen et al. Nat. Commun. 2022 Added: 2023-11-19
Prions and amyloids
- Review on prions in yeast Wickner JBC 2019 Added: 2023-09-22
- Ure2-URE3 tagging Zhao et al. JBC 2018 Added: 2023-09-22
Aging
- Review on brain rejuvenation Bieri et al. Nat. Neurosci. 2023 Added: 2023-09-22
- PF4 (CXCL4) factor Schroer et al. Nature 2023 Added: 2023-09-22
- Oscillator to suppress two modes of aging in yeast Zhou et al. Science 2023 Added: 2023-09-22
- Two types of aging in yeast Li et al. Science 2020 Added: 2023-09-22
Proteins for logical operations
- Energetics of LOV2 switch Yao et al. Nat. Chem. Biol. 2008 Added: 2023-10-15
- Unfolding of alpha- and beta-helical domains DeBenedictis et al. Soft Matter 2019 Added: 2023-10-15
- Mechanical resistance of beta sheets Brockwell et al. Nat. Struct. Mol. Biol. 2003 Added: 2023-10-15
- LOV2-Src Dagliyan et al. Science 2016 Added: 2023-10-15
- Video on logic gates built with pulleys Vimeo Added: 2023-10-20
- Video on AND gate built with dominos Youtube Added: 2023-10-20
- Make logic gates out of anything Website Added: 2023-10-23
- Spring network models Yan et al. PNAS 2017 Yan et al. Biophys. J. 2018 Bravi et al. PLoS Comp. Biol. 2020 Added: 2023-10-26
Proteins for agriculture
- Review crop improvement Li et al. Nature 2025 Added: 2025-12-04




