Advancements in bottom-up synthetic biology (i.e., constructing synthetic cells from scratch) pave the way to new and yet unexplored directions, like: (i) the exploration of semantic aspects of chemical information processing, and (ii) the potential reciprocal inspiration that comes from AI methods and systemic (bio)chemical computation.

Two Possible AI-Related Paths for Bottom-Up Synthetic Cell Research

Stano, Pasquale
Ultimo
2022-01-01

Abstract

Advancements in bottom-up synthetic biology (i.e., constructing synthetic cells from scratch) pave the way to new and yet unexplored directions, like: (i) the exploration of semantic aspects of chemical information processing, and (ii) the potential reciprocal inspiration that comes from AI methods and systemic (bio)chemical computation.
2022
978-3-031-23928-1
978-3-031-23929-8
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11587/480764
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