
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!
Fondazione Gustav & Ruth Jacob
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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




