Literature DB >> 16991191

Proteome informatics I: bioinformatics tools for processing experimental data.

Patricia M Palagi1, Patricia Hernandez, Daniel Walther, Ron D Appel.   

Abstract

Bioinformatics tools for proteomics, also called proteome informatics tools, span today a large panel of very diverse applications ranging from simple tools to compare protein amino acid compositions to sophisticated software for large-scale protein structure determination. This review considers the available and ready to use tools that can help end-users to interpret, validate and generate biological information from their experimental data. It concentrates on bioinformatics tools for 2-DE analysis, for LC followed by MS analysis, for protein identification by PMF, by peptide fragment fingerprinting and by de novo sequencing and for data quantitation with MS data. It also discloses initiatives that propose to automate the processes of MS analysis and enhance the quality of the obtained results.

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Year:  2006        PMID: 16991191     DOI: 10.1002/pmic.200600273

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  12 in total

1.  Quantitative proteomics reveals GIMAP family proteins 1 and 4 to be differentially regulated during human T helper cell differentiation.

Authors:  Jan-Jonas Filén; Sanna Filén; Robert Moulder; Soile Tuomela; Helena Ahlfors; Anne West; Petri Kouvonen; Suvi Kantola; Mari Björkman; Mikko Katajamaa; Omid Rasool; Tuula A Nyman; Riitta Lahesmaa
Journal:  Mol Cell Proteomics       Date:  2008-08-12       Impact factor: 5.911

2.  Evidence for sequence scrambling and divergent H/D exchange reactions of doubly-charged isobaric b-type fragment ions.

Authors:  Behrooz Zekavat; Mahsan Miladi; Abdullah H Al-Fdeilat; Arpad Somogyi; Touradj Solouki
Journal:  J Am Soc Mass Spectrom       Date:  2013-12-18       Impact factor: 3.109

3.  Separating the wheat from the chaff: unbiased filtering of background tandem mass spectra improves protein identification.

Authors:  Magno Junqueira; Victor Spirin; Tiago Santana Balbuena; Patrice Waridel; Vineeth Surendranath; Grigoriy Kryukov; Ivan Adzhubei; Henrik Thomas; Shamil Sunyaev; Andrej Shevchenko
Journal:  J Proteome Res       Date:  2008-06-18       Impact factor: 4.466

4.  Feature-matching pattern-based support vector machines for robust peptide mass fingerprinting.

Authors:  Youyuan Li; Pei Hao; Siliang Zhang; Yixue Li
Journal:  Mol Cell Proteomics       Date:  2011-07-20       Impact factor: 5.911

Review 5.  Approaches for defining the Hsp90-dependent proteome.

Authors:  Steven D Hartson; Robert L Matts
Journal:  Biochim Biophys Acta       Date:  2011-08-27

Review 6.  Mass spectrometry-based proteomics: qualitative identification to activity-based protein profiling.

Authors:  Job D Cardoza; Jignesh R Parikh; Scott B Ficarro; Jarrod A Marto
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2012-01-09

Review 7.  Proteomic strategies and challenges in tumor metastasis research.

Authors:  Petra Hudler; Masa Gorsic; Radovan Komel
Journal:  Clin Exp Metastasis       Date:  2010-07-07       Impact factor: 5.150

8.  Straightforward and de novo peptide sequencing by MALDI-MS/MS using a Lys-N metalloendopeptidase.

Authors:  Paul J Boersema; Nadia Taouatas; A F Maarten Altelaar; Joost W Gouw; Philip L Ross; Darryl J Pappin; Albert J R Heck; Shabaz Mohammed
Journal:  Mol Cell Proteomics       Date:  2008-11-29       Impact factor: 5.911

Review 9.  Key clinical issues in renal cancer: a challenge for proteomics.

Authors:  Rosamonde E Banks; Rachel A Craven; Patricia Harnden; Sanjeev Madaan; Adrian Joyce; Peter J Selby
Journal:  World J Urol       Date:  2007-08-25       Impact factor: 4.226

Review 10.  Tools for exploring the proteomosphere.

Authors:  Andrej Shevchenko; Cristina-Maria Valcu; Magno Junqueira
Journal:  J Proteomics       Date:  2009-01-22       Impact factor: 4.044

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