Literature DB >> 17680696

A model study of protein nascent chain and cotranslational folding using hydrophobic-polar residues.

Hsiao-Mei Lu1, Jie Liang.   

Abstract

To study protein nascent chain folding during biosynthesis, we investigate the folding behavior of models of hydrophobic and polar (HP) chains at growing length using both two-dimensional square lattice model and an optimized three-dimensional 4-state discrete off-lattice model. After enumerating all possible sequences and conformations of HP heteropolymers up to length N = 18 and N = 15 in two and three-dimensional space, respectively, we examine changes in adopted structure, stability, and tolerance to single point mutation as the nascent chain grows. In both models, we find that stable model proteins have fewer folded nascent chains during growth, and often will only fold after reaching full length. For the few occasions where partial chains of stable proteins fold, these partial conformations on average are very similar to the corresponding parts of the final conformations at full length. Conversely, we find that sequences with fewer stable nascent chains and sequences with native-like folded nascent chains are more stable. In addition, these stable sequences in general can have many more point mutations and still fold into the same conformation as the wild type sequence. Our results suggest that stable proteins are less likely to be trapped in metastable conformations during biosynthesis, and are more resistant to point-mutations. Our results also imply that less stable proteins will require the assistance of chaperone and other factors during nascent chain folding. Taken together with other reported studies, it seems that cotranslational folding may not be a general mechanism of in vivo protein folding for small proteins, and in vitro folding studies are still relevant for understanding how proteins fold biologically. (c) 2007 Wiley-Liss, Inc.

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Year:  2008        PMID: 17680696     DOI: 10.1002/prot.21575

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  6 in total

1.  Directionality in protein fold prediction.

Authors:  Jonathan J Ellis; Fabien P E Huard; Charlotte M Deane; Sheenal Srivastava; Graham R Wood
Journal:  BMC Bioinformatics       Date:  2010-04-07       Impact factor: 3.169

2.  Computational Cellular Dynamics Based on the Chemical Master Equation: A Challenge for Understanding Complexity.

Authors:  Jie Liang; Hong Qian
Journal:  J Comput Sci Technol       Date:  2010-01       Impact factor: 1.571

3.  Cotranslational protein folding and terminus hydrophobicity.

Authors:  Sheenal Srivastava; Yumi Patton; David W Fisher; Graham R Wood
Journal:  Adv Bioinformatics       Date:  2011-06-06

4.  Computational evidence that fast translation speed can increase the probability of cotranslational protein folding.

Authors:  Ercheng Wang; Jun Wang; Changjun Chen; Yi Xiao
Journal:  Sci Rep       Date:  2015-10-21       Impact factor: 4.379

5.  Genetic Code Optimization for Cotranslational Protein Folding: Codon Directional Asymmetry Correlates with Antiparallel Betasheets, tRNA Synthetase Classes.

Authors:  Hervé Seligmann; Ganesh Warthi
Journal:  Comput Struct Biotechnol J       Date:  2017-08-12       Impact factor: 7.271

6.  Protein Sequences Recapitulate Genetic Code Evolution.

Authors:  Hervé Seligmann
Journal:  Comput Struct Biotechnol J       Date:  2018-05-30       Impact factor: 7.271

  6 in total

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