SOURCE-LINKED INTELLIGENCE

Evolution of shape-defined macromolecules into functional systems

CORDIS · observation · Publication date unknown

ytic activity into abiotic polymers – enhancing selectivity and efficiency of catalytic reactions by advancing an outer sphere that surrounds the metal cofactor. (IV) Sequence-function studies using machine learning – delivery of models able to interpret multivariate data that will guide the development of complex catalytic systems to find and predict dependencies inaccessible by conventional methods. Our approach proposes an unexplored method for obtaining abiotic, sequence-defined polymers operating in a non-biological environment whose functions can rival those of natural macromolecules. The study will reveal valuable information on sequence-dependent properties of polymers, to open a field of abiotic enzymes for organic transformations. macromolecules, sequence-defined polymers, single chain folding, molecular topology, catalytic functions

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

1499750

unit

EUR