Enzeptional: enzyme optimization via a generative language modeling-based evolutionary algorithm
- 2023
- MRS Fall Meeting 2023
Bio
Yves is currently a PreDoctoral Researcher in AI for Scientific Discovery at IBM Research in Zürich, where his primary focus is on the application of AI and ML in life sciences. He has been involved in the development of tools such as Enzeptional for biological process modeling, RXNAAMapper for protein active site prediction, and the GT4SD library for accelerating scientific discovery. Yves holds a Master's degree in Data Science from the University of Rome La Sapienza. He is now pursuing his PhD, with a focus on Language Modelling for Protein Design, in collaboration with Eindhoven University of Technology in the Biomedical Department.
Publications
Accelerating material design with the generative toolkit for scientific discovery
- Matteo Manica
- Jannis Born
- et al.
- 2023
- npj Computational Materials
Enzyme Optimization via a Generative Language Modeling-Based Evolutionary Algorithm
- Yves Gaetan Nana Teukam
- Francesca Grisoni
- et al.
- 2023
- MRS Spring Meeting 2023
Enzyme optimization via a generative language modeling-based evolutionary algorithm
- Yves Gaetan Nana Teukam
- Francesca Grisoni
- et al.
- 2023
- ACS Spring 2023
Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)
- Matteo Manica
- Joris Cadow
- et al.
- 2022
- MRS Fall Meeting 2022
Enzeptional—Enzyme Optimization via a Generative Language Modeling-Based Evolutionary Algorithm
- 2022
- MRS Fall Meeting 2022
Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)
- Matteo Manica
- Joris Cadow
- et al.
- 2022
- ACS Fall 2022
Identification of enzymatic active sites with unsupervised language modelling
- Loic Kwate Dassi
- Matteo Manica
- et al.
- 2022
- ACS Fall 2022
Identification of Enzymatic Active Sites with Unsupervised Language Modeling
- Matteo Manica
- Loic Kwate Dassi
- et al.
- 2022
- ISGC 2022
Identification of enzymatic active sites with unsupervised language modelling
- Loic Kwate Dassi
- Matteo Manica
- et al.
- 2022
- MRS Spring Meeting 2022
Projects
AI for Scientific Discovery
Creating the AI-enabled lab for a new era of reproducible and collaborative experimentation
Lab that Learns
Leveraging AI foundation models and multi-cloud computing to usher in a new era of reproducible and collaborative experimentation for scientific discovery.
Top collaborators
MM
Matteo Manica
Senior Research Scientist
TL
Teodoro Laino
Distinguished RSM, Manager
FZ
Federico Zipoli
Research Scientist
JS
John R. Smith
IBM Fellow, Discovery Technology Foundations, Accelerated Discovery, IBM Research