ResearchLanguage models can identify enzymatic binding sites in protein sequences 2024PAPERTeukam, Yves Gaetan Nana, et al.A language model assistant for biocatalysis 2024PREPRINTYves Gaetan Nana Teukam et al.Integrating Genetic Algorithms and Language Models for Enhanced Enzyme Design 2024PREPRINTYves Gaetan Nana Teukam et al.Accelerating material design with the generative toolkit for scientific discovery 2023PAPERM. Manica, J. Born, J. Cadow, D. Christofidellis, A. Dave, D. Clarke, Yves Gaetan Nana Teukam, et al.Biocatalysed synthesis planning using data-driven learning 2022PAPERD. Probst, M. Manica, Yves Gaetan Nana Teukam, A. Castrogiovanni, F. Paratore, T. LainoAwards1st IEEE Open Software Service Awards as part of the GT4SD team 2022by M. Manica, J. Cadow, D. Christofidellis, A. Dave, J. Born, D. Clarke, Yves Gaetan Nana Teukam et al.CodeGT4SD 2022GT4SD aims to accelerate scientific discovery by creating an open community around generative models, making them accessible and easier to use for scientists. Their open-source library, gt4sd-core, provides tools for generating hypotheses and fine-tuning AI models, facilitating the adoption of generative AI in scientific research.LM-ABC 2024This project focuses on streamlining and automating key tasks in protein modeling, optimization, and the design of experiments for biocatalyzed reactions.Enzeptional 2024This study introduces a framework that combines LLMs with genetic algorithms (GAs) to optimize enzymes.RXNAAMapper 2022The tool can capture the signal characterizing amino acid (AA) binding sites using linguistic representations for proteins and their molecular substrates, performing unsupervised binding site prediction from protein sequences and reaction SMILES..