Literature DB >> 26818963

Role of single-point mutations and deletions on transition temperatures in ideal proteinogenic heteropolymer chains in the gas phase.

L Olivares-Quiroz1.   

Abstract

A coarse-grained statistical mechanics-based model for ideal heteropolymer proteinogenic chains of non-interacting residues is presented in terms of the size K of the chain and the set of helical propensities [Formula: see text] associated with each residue j along the chain. For this model, we provide an algorithm to compute the degeneracy tensor [Formula: see text] associated with energy level [Formula: see text] where [Formula: see text] is the number of residues with a native contact in a given conformation. From these results, we calculate the equilibrium partition function [Formula: see text] and characteristic temperature [Formula: see text] at which a transition from a low to a high entropy states is observed. The formalism is applied to analyze the effect on characteristic temperatures [Formula: see text] of single-point mutations and deletions of specific amino acids [Formula: see text] along the chain. Two probe systems are considered. First, we address the case of a random heteropolymer of size K and given helical propensities [Formula: see text] on a conformational phase space. Second, we focus our attention to a particular set of neuropentapeptides, [Met-5] and [Leu-5] enkephalins whose thermodynamic stability is a key feature on their coupling to [Formula: see text] and [Formula: see text] receptors and the triggering of biochemical responses.

Entities:  

Keywords:  Canonical ensemble; Conformational phase transitions; Equilibrium statistical mechanics; Ideal heteropolymers; Random heteropolymers; Single-point mutations; Specific heat proteins

Mesh:

Substances:

Year:  2016        PMID: 26818963     DOI: 10.1007/s00249-015-1108-8

Source DB:  PubMed          Journal:  Eur Biophys J        ISSN: 0175-7571            Impact factor:   1.733


  33 in total

Review 1.  Protein folds and protein folding.

Authors:  R Dustin Schaeffer; Valerie Daggett
Journal:  Protein Eng Des Sel       Date:  2010-11-03       Impact factor: 1.650

Review 2.  From valleys to ridges: exploring the dynamic energy landscape of single membrane proteins.

Authors:  Harald Janovjak; K Tanuj Sapra; Alexej Kedrov; Daniel J Müller
Journal:  Chemphyschem       Date:  2008-05-16       Impact factor: 3.102

Review 3.  The protein folding problem.

Authors:  Ken A Dill; S Banu Ozkan; M Scott Shell; Thomas R Weikl
Journal:  Annu Rev Biophys       Date:  2008       Impact factor: 12.981

4.  Thermodynamics of ideal proteinogenic homopolymer chains as a function of the energy spectrum E, helical propensity ω and enthalpic energy barrier.

Authors:  L Olivares-Quiroz
Journal:  J Phys Condens Matter       Date:  2013-03-20       Impact factor: 2.333

Review 5.  Opioid growth factor and the treatment of human pancreatic cancer: a review.

Authors:  Ian S Zagon; Patricia J McLaughlin
Journal:  World J Gastroenterol       Date:  2014-03-07       Impact factor: 5.742

6.  Simple model of protein folding kinetics.

Authors:  R Zwanzig
Journal:  Proc Natl Acad Sci U S A       Date:  1995-10-10       Impact factor: 11.205

7.  Opioid growth factor (OGF) for hepatoblastoma: a novel non-toxic treatment.

Authors:  Moshe Rogosnitzky; Milton J Finegold; Patricia J McLaughlin; Ian S Zagon
Journal:  Invest New Drugs       Date:  2012-12-30       Impact factor: 3.850

Review 8.  Proteins, lipids, and water in the gas phase.

Authors:  David van der Spoel; Erik G Marklund; Daniel S D Larsson; Carl Caleman
Journal:  Macromol Biosci       Date:  2011-01-10       Impact factor: 4.979

9.  Unraveling the stability of polypeptide helices: critical role of van der Waals interactions.

Authors:  Alexandre Tkatchenko; Mariana Rossi; Volker Blum; Joel Ireta; Matthias Scheffler
Journal:  Phys Rev Lett       Date:  2011-03-16       Impact factor: 9.161

Review 10.  An overview of the prediction of protein DNA-binding sites.

Authors:  Jingna Si; Rui Zhao; Rongling Wu
Journal:  Int J Mol Sci       Date:  2015-03-06       Impact factor: 5.923

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.