Literature DB >> 21371882

Coarse-grained models for protein aggregation.

Chun Wu1, Joan-Emma Shea.   

Abstract

The aggregation of soluble proteins into fibrillar species is a complex process that spans many lengths and time scales, and that involves the formation of numerous on-pathway and off-pathway intermediate species. Despite this complexity, several elements underlying the aggregation process appear to be universal. The kinetics typically follows a nucleation-growth process, and proteins with very different sequences aggregate to form similar fibril structures, populating intermediates with sufficient structural similarity to bind to a common antibody. This review focuses on a computational approach that exploits the common features of aggregation to simplify or 'coarse-grain' the representation of the protein. We highlight recent developments in coarse-grained modeling and illustrate how these models have been able to shed new light into the mechanisms of protein aggregation and the nature of aggregation intermediates. The roles of aggregation prone conformations in the monomeric state and the influence of inherent β-sheet and aggregation propensities in modulating aggregation pathways are discussed.
Copyright © 2011 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21371882     DOI: 10.1016/j.sbi.2011.02.002

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  39 in total

1.  Spontaneous formation of twisted Aβ(16-22) fibrils in large-scale molecular-dynamics simulations.

Authors:  Mookyung Cheon; Iksoo Chang; Carol K Hall
Journal:  Biophys J       Date:  2011-11-15       Impact factor: 4.033

2.  Protein Polymerization into Fibrils from the Viewpoint of Nucleation Theory.

Authors:  Dimo Kashchiev
Journal:  Biophys J       Date:  2015-11-17       Impact factor: 4.033

3.  Free energy landscapes for initiation and branching of protein aggregation.

Authors:  Weihua Zheng; Nicholas P Schafer; Peter G Wolynes
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-27       Impact factor: 11.205

4.  Charge density distributions derived from smoothed electrostatic potential functions: design of protein reduced point charge models.

Authors:  Laurence Leherte; Daniel P Vercauteren
Journal:  J Comput Aided Mol Des       Date:  2011-09-14       Impact factor: 3.686

5.  Crucial role of nonspecific interactions in amyloid nucleation.

Authors:  Anđela Šarić; Yassmine C Chebaro; Tuomas P J Knowles; Daan Frenkel
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-01       Impact factor: 11.205

Review 6.  Amyloid β Protein and Alzheimer's Disease: When Computer Simulations Complement Experimental Studies.

Authors:  Jessica Nasica-Labouze; Phuong H Nguyen; Fabio Sterpone; Olivia Berthoumieu; Nicolae-Viorel Buchete; Sébastien Coté; Alfonso De Simone; Andrew J Doig; Peter Faller; Angel Garcia; Alessandro Laio; Mai Suan Li; Simone Melchionna; Normand Mousseau; Yuguang Mu; Anant Paravastu; Samuela Pasquali; David J Rosenman; Birgit Strodel; Bogdan Tarus; John H Viles; Tong Zhang; Chunyu Wang; Philippe Derreumaux
Journal:  Chem Rev       Date:  2015-03-19       Impact factor: 60.622

7.  Elongation affinity, activation barrier, and stability of Aβ42 oligomers/fibrils in physiological saline.

Authors:  Roberto A Rodriguez; Liao Y Chen; Germán Plascencia-Villa; George Perry
Journal:  Biochem Biophys Res Commun       Date:  2017-04-17       Impact factor: 3.575

8.  Aggregation mechanism of an IgG2 and two IgG1 monoclonal antibodies at low pH: from oligomers to larger aggregates.

Authors:  Paolo Arosio; Simonetta Rima; Massimo Morbidelli
Journal:  Pharm Res       Date:  2012-10-09       Impact factor: 4.200

9.  Influence of temperature on formation of perfect tau fragment fibrils using PRIME20/DMD simulations.

Authors:  Mookyung Cheon; Iksoo Chang; Carol K Hall
Journal:  Protein Sci       Date:  2012-09-17       Impact factor: 6.725

Review 10.  Molecular simulations of peptide amphiphiles.

Authors:  Anjela Manandhar; Myungshim Kang; Kaushik Chakraborty; Phu K Tang; Sharon M Loverde
Journal:  Org Biomol Chem       Date:  2017-10-04       Impact factor: 3.876

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.