Literature DB >> 21639310

Probing combinatorial library diversity by mass spectrometry.

P A Demirev1, R A Zubarev.   

Abstract

The feasibility of a "massively parallel" mass spectrometric method for probing combinatorial library diversity is addressed theoretically for the example of computer-generated mass distributions of combinatorially synthesized peptide libraries containing between two and seven amino acids. We study the behavior of several "global" (integral) parameters of such mass distributions [Formula: see text] mass centroid, dispersion, skewness, and kurtosis. The centroid and dispersion are shown to carry information that may characterize the completeness of the synthetic effort. "Local" mass distribution parameters, e.g., "mass density" (number of peptides per mass interval), are also examined. The practical implementation and eventual limitations of such an approach are discussed as well.

Year:  1997        PMID: 21639310     DOI: 10.1021/ac970049w

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  6 in total

1.  Determining synthetic failures in combinatorial libraries by hybrid gas-phase separation methods.

Authors:  C A Srebalus; J Li; W S Marshall; D E Clemmer
Journal:  J Am Soc Mass Spectrom       Date:  2000-04       Impact factor: 3.109

2.  Improved mass defect model for theoretical tryptic peptides.

Authors:  Indranil Mitra; Alexey V Nefedov; Allan R Brasier; Rovshan G Sadygov
Journal:  Anal Chem       Date:  2012-03-07       Impact factor: 6.986

3.  Examining troughs in the mass distribution of all theoretically possible tryptic peptides.

Authors:  Alexey V Nefedov; Indranil Mitra; Allan R Brasier; Rovshan G Sadygov
Journal:  J Proteome Res       Date:  2011-08-09       Impact factor: 4.466

4.  Development of LC-IMS-CID-TOFMS techniques: analysis of a 256 component tetrapeptide combinatorial library.

Authors:  Amy E Hilderbrand; Sunnie Myung; Catherine A Srebalus Barnes; David E Clemmer
Journal:  J Am Soc Mass Spectrom       Date:  2003-12       Impact factor: 3.109

5.  De novo correction of mass measurement error in low resolution tandem MS spectra for shotgun proteomics.

Authors:  Jarrett D Egertson; Jimmy K Eng; Michael S Bereman; Edward J Hsieh; Gennifer E Merrihew; Michael J MacCoss
Journal:  J Am Soc Mass Spectrom       Date:  2012-09-25       Impact factor: 3.109

6.  A parallel method for enumerating amino acid compositions and masses of all theoretical peptides.

Authors:  Alexey V Nefedov; Rovshan G Sadygov
Journal:  BMC Bioinformatics       Date:  2011-11-07       Impact factor: 3.307

  6 in total

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