Literature DB >> 15140161

Prediction of primary structure deamidation rates of asparaginyl and glutaminyl peptides through steric and catalytic effects.

N E Robinson1, A B Robinson.   

Abstract

The primary sequence dependence of deamidation has been quantitatively explained on the basis of a simple steric and catalytic model. Application to the known deamidation rates of peptides produces a table of coefficients that permits calculation of the known deamidation rates and prediction of deamidation rates for peptide sequences that have not yet been measured. This work permits a better understanding of deamidation, provides a prediction procedure for protein engineering, and facilitates improved computation of peptide and protein primary, secondary, tertiary, and quaternary structure deamidation rates.

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Year:  2004        PMID: 15140161     DOI: 10.1111/j.1399-3011.2004.00148.x

Source DB:  PubMed          Journal:  J Pept Res        ISSN: 1397-002X


  22 in total

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Journal:  MAbs       Date:  2010-07-01       Impact factor: 5.857

2.  Role of glutamine deamidation in neurodegenerative diseases associated with triplet repeat expansions: a hypothesis.

Authors:  Qurratulain Hasan; Ravindra Varma Alluri; Pragna Rao; Yog Raj Ahuja
Journal:  J Mol Neurosci       Date:  2006       Impact factor: 3.444

3.  Deamidation destabilizes and triggers aggregation of a lens protein, betaA3-crystallin.

Authors:  Takumi Takata; Julie T Oxford; Borries Demeler; Kirsten J Lampi
Journal:  Protein Sci       Date:  2008-06-20       Impact factor: 6.725

4.  Multivariate analysis of the sequence dependence of asparagine deamidation rates in peptides.

Authors:  Andrew A Kosky; Vasumathi Dharmavaram; Gayathri Ratnaswamy; Mark Cornell Manning
Journal:  Pharm Res       Date:  2009-09-09       Impact factor: 4.200

Review 5.  Stability of protein pharmaceuticals: an update.

Authors:  Mark Cornell Manning; Danny K Chou; Brian M Murphy; Robert W Payne; Derrick S Katayama
Journal:  Pharm Res       Date:  2010-02-09       Impact factor: 4.200

6.  Detection, evaluation and minimization of nonenzymatic deamidation in proteomic sample preparation.

Authors:  Piliang Hao; Yan Ren; Andrew J Alpert; Siu Kwan Sze
Journal:  Mol Cell Proteomics       Date:  2011-07-22       Impact factor: 5.911

7.  Rational design of viscosity reducing mutants of a monoclonal antibody: hydrophobic versus electrostatic inter-molecular interactions.

Authors:  Pilarin Nichols; Li Li; Sandeep Kumar; Patrick M Buck; Satish K Singh; Sumit Goswami; Bryan Balthazor; Tami R Conley; David Sek; Martin J Allen
Journal:  MAbs       Date:  2015       Impact factor: 5.857

8.  Engineering deamidation-susceptible asparagines leads to improved stability to thermal cycling in a lipase.

Authors:  K Bhanuramanand; Shoeb Ahmad; N M Rao
Journal:  Protein Sci       Date:  2014-08-05       Impact factor: 6.725

Review 9.  Lens β-crystallins: the role of deamidation and related modifications in aging and cataract.

Authors:  Kirsten J Lampi; Phillip A Wilmarth; Matthew R Murray; Larry L David
Journal:  Prog Biophys Mol Biol       Date:  2014-03-06       Impact factor: 3.667

10.  Age-dependent deamidation of lifelong proteins in the human lens.

Authors:  Peter G Hains; Roger J W Truscott
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