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Fuzziness and Frustration in the Energy Landscape of Protein Folding, Function, and Assembly

期刊

ACCOUNTS OF CHEMICAL RESEARCH
卷 54, 期 5, 页码 1251-1259

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.accounts.0c00813

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资金

  1. Italian Ministero dell'Istruzione dell'Universita e della Ricerca (Progetto di Interesse Invecchiamento)
  2. Sapienza University of Rome [C26A155S48, B52F16003410005, RP11715C34AEAC9B]
  3. Associazione Italiana per la Ricerca sul Cancro [IG 24551]
  4. Hungarian Academy of Sciences [11015, GINOP-2.3.2-15-2016-00044]
  5. Swedish Research Council [202004395]
  6. Center for Theoretical Biological Physics
  7. NSF [PHY-2019745]
  8. D. R. Bullard-Welch Chair at Rice University [C-0016]
  9. [ANPCyT - PICT2016-1467]
  10. [UBACYT 2018-20020170100540BA]

向作者/读者索取更多资源

Proteins and their complexes can be described as ensembles that populate an energy landscape, where the diversity arises from the conflicts between interactions shaping the energy landscape. Within this framework, alternative sets of suboptimal contacts can encode specificity without achieving a single structural optimum. The interplay between frustration and fuzziness offers insights into the structural and dynamical continuum of protein assemblies.
Are all protein interactions fully optimized? Do suboptimal interactions compromise specificity? What is the functional impact of frustration? Why does evolution not optimize some contacts? Proteins and their complexes are best described as ensembles of states populating an energy landscape. These ensembles vary in breadth from narrow ensembles clustered around a single average X-ray structure to broader ensembles encompassing a few different functional taxonomic states on to near continua of rapidly interconverting conformations, which are called fuzzy or even intrinsically disordered. Here we aim to provide a comprehensive framework for confronting the structural and dynamical continuum of protein assemblies by combining the concepts of energetic frustration and interaction fuzziness. The diversity of the protein structural ensemble arises from the frustrated conflicts between the interactions that create the energy landscape. When frustration is minimal after folding, it results in a narrow ensemble, but residual frustrated interactions result in fuzzy ensembles, and this fuzziness allows a versatile repertoire of biological interactions. Here we discuss how fuzziness and frustration play off each other as proteins fold and assemble, viewing their significance from energetic, functional, and evolutionary perspectives. We demonstrate, in particular, that the common physical origin of both concepts is related to the ruggedness of the energy landscapes, intramolecular in the case of frustration and intermolecular in the case of fuzziness. Within this framework, we show that alternative sets of suboptimal contacts may encode specificity without achieving a single structural optimum. Thus, we demonstrate that structured complexes may not be optimized, and energetic frustration is realized via different sets of contacts leading to multiplicity of specific complexes. Furthermore, we propose that these suboptimal, frustrated, or fuzzy interactions are under evolutionary selection and expand the biological repertoire by providing a multiplicity of biological activities. In accord, we show that non-native interactions in folding or interaction landscapes can cooperate to generate diverse functional states, which are essential to facilitate adaptation to different cellular conditions. Thus, we propose that not fully optimized structures may actually be beneficial for biological activities of proteins via an alternative set of suboptimal interactions. The importance of such variability has not been recognized across different areas of biology. This account provides a modern view on folding, function, and assembly across the protein universe. The physical framework presented here is applicable to the structure and dynamics continuum of proteins and opens up new perspectives for drug design involving not fully structured, highly dynamic protein assemblies.

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