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001-es BibID:	BIBFORM076886
035-os BibID:	(WoS)000451641900280 (Scopus)85056613813
Első szerző:	Fuxreiter Mónika (kutató vegyész)
Cím:	Towards a Stochastic Paradigm : from Fuzzy Ensembles to Cellular Functions / Monika Fuxreiter
Dátum:	2018
ISSN:	1420-3049
Megjegyzések:	The deterministic sequence ? structure ? function relationship is not applicable to describe how proteins dynamically adapt to different cellular conditions. A stochastic model is required to capture functional promiscuity, redundant sequence motifs, dynamic interactions, or conformational heterogeneity, which facilitate the decision-making in regulatory processes, ranging from enzymes to membraneless cellular compartments. The fuzzy set theory offers a quantitative framework to address these problems. The fuzzy formalism allows the simultaneous involvement of proteins in multiple activities, the degree of which is given by the corresponding memberships. Adaptation is described via a fuzzy inference system, which relates heterogeneous conformational ensembles to different biological activities. Sequence redundancies (e.g., tandem motifs) can also be treated by fuzzy sets to characterize structural transitions affecting the heterogeneous interaction patterns (e.g., pathological fibrillization of stress granules). The proposed framework can provide quantitative protein models, under stochastic cellular conditions.
Tárgyszavak:	Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk artificial intelligence conformational heterogeneity fuzzy complexes fuzzy set theory higher-order structures promiscuity protein dynamics protein evolution
Megjelenés:	Molecules. - 23 : 11 (2018), p. 1-10. -
Pályázati támogatás:	GINOP-2.3.2-15-2016-00044 GINOP
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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