Frustration in biomolecules

Biomolecules are the prime information processing elements of living matter. Most of these inanimate systems are polymers that compute their own structures and dynamics using as input seemingly random character strings of their sequence, following which they coalesce and perform integrated cellular...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Ferreiro, D.U., Komives, E.A., Wolynes, P.G.
Formato: JOUR
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_00335835_v88_n4_p_Ferreiro
Aporte de:
id todo:paper_00335835_v88_n4_p_Ferreiro
record_format dspace
spelling todo:paper_00335835_v88_n4_p_Ferreiro2023-10-03T14:45:45Z Frustration in biomolecules Ferreiro, D.U. Komives, E.A. Wolynes, P.G. Biomolecules are the prime information processing elements of living matter. Most of these inanimate systems are polymers that compute their own structures and dynamics using as input seemingly random character strings of their sequence, following which they coalesce and perform integrated cellular functions. In large computational systems with finite interaction-codes, the appearance of conflicting goals is inevitable. Simple conflicting forces can lead to quite complex structures and behaviors, leading to the concept of frustration in condensed matter. We present here some basic ideas about frustration in biomolecules and how the frustration concept leads to a better appreciation of many aspects of the architecture of biomolecules, and especially how biomolecular structure connects to function by means of localized frustration. These ideas are simultaneously both seductively simple and perilously subtle to grasp completely. The energy landscape theory of protein folding provides a framework for quantifying frustration in large systems and has been implemented at many levels of description. We first review the notion of frustration from the areas of abstract logic and its uses in simple condensed matter systems. We discuss then how the frustration concept applies specifically to heteropolymers, testing folding landscape theory in computer simulations of protein models and in experimentally accessible systems. Studying the aspects of frustration averaged over many proteins provides ways to infer energy functions useful for reliable structure prediction. We discuss how frustration affects folding mechanisms. We review here how the biological functions of proteins are related to subtle local physical frustration effects and how frustration influences the appearance of metastable states, the nature of binding processes, catalysis and allosteric transitions. In this review, we also emphasize that frustration, far from being always a bad thing, is an essential feature of biomolecules that allows dynamics to be harnessed for function. In this way, we hope to illustrate how Frustration is a fundamental concept in molecular biology. Copyright © 2014 Cambridge University Press. Fil:Ferreiro, D.U. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_00335835_v88_n4_p_Ferreiro
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
description Biomolecules are the prime information processing elements of living matter. Most of these inanimate systems are polymers that compute their own structures and dynamics using as input seemingly random character strings of their sequence, following which they coalesce and perform integrated cellular functions. In large computational systems with finite interaction-codes, the appearance of conflicting goals is inevitable. Simple conflicting forces can lead to quite complex structures and behaviors, leading to the concept of frustration in condensed matter. We present here some basic ideas about frustration in biomolecules and how the frustration concept leads to a better appreciation of many aspects of the architecture of biomolecules, and especially how biomolecular structure connects to function by means of localized frustration. These ideas are simultaneously both seductively simple and perilously subtle to grasp completely. The energy landscape theory of protein folding provides a framework for quantifying frustration in large systems and has been implemented at many levels of description. We first review the notion of frustration from the areas of abstract logic and its uses in simple condensed matter systems. We discuss then how the frustration concept applies specifically to heteropolymers, testing folding landscape theory in computer simulations of protein models and in experimentally accessible systems. Studying the aspects of frustration averaged over many proteins provides ways to infer energy functions useful for reliable structure prediction. We discuss how frustration affects folding mechanisms. We review here how the biological functions of proteins are related to subtle local physical frustration effects and how frustration influences the appearance of metastable states, the nature of binding processes, catalysis and allosteric transitions. In this review, we also emphasize that frustration, far from being always a bad thing, is an essential feature of biomolecules that allows dynamics to be harnessed for function. In this way, we hope to illustrate how Frustration is a fundamental concept in molecular biology. Copyright © 2014 Cambridge University Press.
format JOUR
author Ferreiro, D.U.
Komives, E.A.
Wolynes, P.G.
spellingShingle Ferreiro, D.U.
Komives, E.A.
Wolynes, P.G.
Frustration in biomolecules
author_facet Ferreiro, D.U.
Komives, E.A.
Wolynes, P.G.
author_sort Ferreiro, D.U.
title Frustration in biomolecules
title_short Frustration in biomolecules
title_full Frustration in biomolecules
title_fullStr Frustration in biomolecules
title_full_unstemmed Frustration in biomolecules
title_sort frustration in biomolecules
url http://hdl.handle.net/20.500.12110/paper_00335835_v88_n4_p_Ferreiro
work_keys_str_mv AT ferreirodu frustrationinbiomolecules
AT komivesea frustrationinbiomolecules
AT wolynespg frustrationinbiomolecules
_version_ 1782024974047903744