Literature DB >> 15849216

Understanding the relationship between the primary structure of proteins and their amyloidogenic propensity: clues from inclusion body formation.

Susan Idicula-Thomas1, Petety V Balaji.   

Abstract

Amyloid formation is dependent to a considerable extent on the amino acid sequence of the protein. The present study delineates certain sequence-dependent features that are correlated with amyloidogenic propensity. The analyses indicate that amyloid formation is favored by lower thermostability and increased half-life of the protein. There seems to be a certain degree of bias in the composition of order-promoting amino acids in the case of amyloidogenic proteins. Based on these parameters, a prediction function for the amyloidogenic propensity of proteins has been created. The prediction function has been found to rationalize the reported effect of certain mutations on amyloid formation. It seems that a higher sheet propensity of residues that constitute the first seven residues of a helical structure in a protein might increase the propensity for a helix to sheet transition in that region under denaturing conditions.

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Year:  2005        PMID: 15849216     DOI: 10.1093/protein/gzi022

Source DB:  PubMed          Journal:  Protein Eng Des Sel        ISSN: 1741-0126            Impact factor:   1.650


  7 in total

1.  Wheat germ cell-free expression system as a pathway to improve protein yield and solubility for the SSGCID pipeline.

Authors:  Katherine Guild; Yang Zhang; Robin Stacy; Elizabeth Mundt; Sarah Benbow; Amanda Green; Peter J Myler
Journal:  Acta Crystallogr Sect F Struct Biol Cryst Commun       Date:  2011-08-31

2.  Sequence-based classification using discriminatory motif feature selection.

Authors:  Hao Xiong; Daniel Capurso; Saunak Sen; Mark R Segal
Journal:  PLoS One       Date:  2011-11-10       Impact factor: 3.240

3.  AGGRESCAN: a server for the prediction and evaluation of "hot spots" of aggregation in polypeptides.

Authors:  Oscar Conchillo-Solé; Natalia S de Groot; Francesc X Avilés; Josep Vendrell; Xavier Daura; Salvador Ventura
Journal:  BMC Bioinformatics       Date:  2007-02-27       Impact factor: 3.169

4.  Comparative Study on Feature Selection in Protein Structure and Function Prediction.

Authors:  Wenjing Yi; Ao Sun; Manman Liu; Xiaoqing Liu; Wei Zhang; Qi Dai
Journal:  Comput Math Methods Med       Date:  2022-10-11       Impact factor: 2.809

5.  Prediction of amyloid fibril-forming segments based on a support vector machine.

Authors:  Jian Tian; Ningfeng Wu; Jun Guo; Yunliu Fan
Journal:  BMC Bioinformatics       Date:  2009-01-30       Impact factor: 3.169

6.  A consensus method for the prediction of 'aggregation-prone' peptides in globular proteins.

Authors:  Antonios C Tsolis; Nikos C Papandreou; Vassiliki A Iconomidou; Stavros J Hamodrakas
Journal:  PLoS One       Date:  2013-01-10       Impact factor: 3.240

7.  Interplay of sequence, topology and termini charge in determining the stability of the aggregates of GNNQQNY mutants: a molecular dynamics study.

Authors:  Alka Srivastava; Petety V Balaji
Journal:  PLoS One       Date:  2014-05-09       Impact factor: 3.240

  7 in total

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