Literature DB >> 18372287

A review of algorithmic techniques for disulfide-bond determination.

Rahul Singh1.   

Abstract

Disulfide bonds play an important role in understanding protein folding, evolution, and in studies related to determining structural and functional properties of specific proteins. At the state-of-the-art, a large number of computational techniques have been proposed for determining disulfide bonds. Operating across the gamut of input data, from pure sequence-based information to spectra from mass spectrometry, these techniques provide researchers with a variety of methodological choices and trade-offs. Techniques for disulfide-bond determination are also underpinned by a rich variety of algorithmic formulations. Analysis of these algorithms can provide valuable cues towards choosing a particular technique and understanding its results. Further, their study is critical in developing the next generation of techniques. This paper discusses the importance and applicability of disulfide-bond determination in understanding protein structure and function and provides a detailed review of computational approaches to this problem.

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Year:  2008        PMID: 18372287     DOI: 10.1093/bfgp/eln008

Source DB:  PubMed          Journal:  Brief Funct Genomic Proteomic        ISSN: 1473-9550


  8 in total

1.  Characterization and comparison of disulfide linkages and scrambling patterns in therapeutic monoclonal antibodies: using LC-MS with electron transfer dissociation.

Authors:  Yi Wang; Qiaozhen Lu; Shiaw-Lin Wu; Barry L Karger; William S Hancock
Journal:  Anal Chem       Date:  2011-03-23       Impact factor: 6.986

Review 2.  Bacterial thiol oxidoreductases - from basic research to new antibacterial strategies.

Authors:  Katarzyna M Bocian-Ostrzycka; Magdalena J Grzeszczuk; Anna M Banaś; Elżbieta Katarzyna Jagusztyn-Krynicka
Journal:  Appl Microbiol Biotechnol       Date:  2017-04-13       Impact factor: 4.813

3.  Combinatorial cysteine mutagenesis reveals a critical intramonomer role for cysteines in prestin voltage sensing.

Authors:  Jun-Ping Bai; Alexei Surguchev; Shumin Bian; Lei Song; Joseph Santos-Sacchi; Dhasakumar Navaratnam
Journal:  Biophys J       Date:  2010-07-07       Impact factor: 4.033

4.  An efficient algorithmic approach for mass spectrometry-based disulfide connectivity determination using multi-ion analysis.

Authors:  William Murad; Rahul Singh; Ten-Yang Yen
Journal:  BMC Bioinformatics       Date:  2011-02-15       Impact factor: 3.169

5.  An Evolutionary View on Disulfide Bond Connectivities Prediction Using Phylogenetic Trees and a Simple Cysteine Mutation Model.

Authors:  Daniele Raimondi; Gabriele Orlando; Wim F Vranken
Journal:  PLoS One       Date:  2015-07-10       Impact factor: 3.240

6.  CMD: A Database to Store the Bonding States of Cysteine Motifs with Secondary Structures.

Authors:  Hamed Bostan; Naomie Salim; Zeti Azura Hussein; Peter Klappa; Mohd Shahir Shamsir
Journal:  Adv Bioinformatics       Date:  2012-10-10

7.  Protein disulfide topology determination through the fusion of mass spectrometric analysis and sequence-based prediction using Dempster-Shafer theory.

Authors:  Rahul Singh; William Murad
Journal:  BMC Bioinformatics       Date:  2013-01-21       Impact factor: 3.169

8.  A word of caution about biological inference - Revisiting cysteine covalent state predictions.

Authors:  Eva Tüdős; Bálint Mészáros; András Fiser; István Simon
Journal:  FEBS Open Bio       Date:  2014-03-12       Impact factor: 2.693

  8 in total

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