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The TerpenCode project focuses on engineering enzymes involved in terpene synthesis using deep learning. By modeling enzymatic reactions, it aims to predict and design new enzyme variants for sustainable production of diverse natural products.
Enzymes are biological catalysts indispensable for biotechnology.
Conventional approaches to enzyme design and optimization, relying on biochemical intuition and combinatorial mutagenesis, have yielded significant success over decades.
Building on these foundations, the TerpenCode project aims to instantly elucidate and engineer enzymatic reactions by designing a new generation of deep learning models that (1) incorporate biochemical principles as inductive biases and (2) model all intermediate…
USTAV ORGANICKE CHEMIE A BIOCHEMIE, AV CR, V.V.I.
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