Integrating chemical artificial intelligence and cognitive computing for predictive analysis of biological pathways: a case for intrinsically disordered proteins DOI
Orkid Coskuner‐Weber, Pier Luigi Gentili, Vladimir N. Uversky

и другие.

Biophysical Reviews, Год журнала: 2025, Номер unknown

Опубликована: Фев. 15, 2025

Язык: Английский

Can Molecular Systems Learn? DOI Open Access
Kübra Kaygisiz, Rein V. Ulijn

ChemSystemsChem, Год журнала: 2025, Номер unknown

Опубликована: Янв. 24, 2025

Abstract Research across various disciplines shows the benefits of learning and memory for gaining functionality improving performance. It is increasingly clear that can be found in both physical virtual systems, from intelligent life forms to machines, simple organisms, even designed chemical systems. We are interested understanding what extent embodiments these processes synthesized engineered bottom up by using molecular components. In this perspective, we raise attempt answer conceptual questions about supramolecular systems as smallest units capable learning. define a process where complex system interacting components modifies itself response an applied stress or stimulus, resulting structural changes information gain. highlight potential chemistry networks design meet definition encoding, decoding, storing within system′s composition. Understanding basis could inform development materials autonomously acquire new properties their environment. This also provide insights next‐generation computing physical, rather than virtual,

Язык: Английский

Процитировано

1

Integrating chemical artificial intelligence and cognitive computing for predictive analysis of biological pathways: a case for intrinsically disordered proteins DOI
Orkid Coskuner‐Weber, Pier Luigi Gentili, Vladimir N. Uversky

и другие.

Biophysical Reviews, Год журнала: 2025, Номер unknown

Опубликована: Фев. 15, 2025

Язык: Английский

Процитировано

0