Literature DB >> 22090170

De novo sequencing and homology searching.

Bin Ma1, Richard Johnson.   

Abstract

In proteomics, de novo sequencing is the process of deriving peptide sequences from tandem mass spectra without the assistance of a sequence database. Such analyses have traditionally been performed manually by human experts, and more recently by computer programs that have been developed because of the need for higher throughput. Although powerful, de novo sequencing often can only determine partially correct sequence tags because of imperfect tandem mass spectra. However, these sequence tags can then be searched in a sequence database to identify the exact or a homologous peptide. Homology searches are particularly useful for the study of organisms whose genomes have not been sequenced. This tutorial will present background important to understanding de novo sequencing, suggestions on how to do this manually, plus descriptions of computer algorithms used to automate this process and to subsequently carryout homology-based database searches. This Tutorial is part of the International Proteomics Tutorial Programme (IPTP 1).

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Year:  2011        PMID: 22090170      PMCID: PMC3277775          DOI: 10.1074/mcp.O111.014902

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  96 in total

1.  A dynamic programming approach to de novo peptide sequencing via tandem mass spectrometry.

Authors:  T Chen; M Y Kao; M Tepel; J Rush; G M Church
Journal:  J Comput Biol       Date:  2001       Impact factor: 1.479

2.  Implementation and uses of automated de novo peptide sequencing by tandem mass spectrometry.

Authors:  J A Taylor; R S Johnson
Journal:  Anal Chem       Date:  2001-06-01       Impact factor: 6.986

3.  High-throughput identification of proteins and unanticipated sequence modifications using a mass-based alignment algorithm for MS/MS de novo sequencing results.

Authors:  Brian C Searle; Surendra Dasari; Mark Turner; Ashok P Reddy; Dongseok Choi; Phillip A Wilmarth; Ashley L McCormack; Larry L David; Srinivasa R Nagalla
Journal:  Anal Chem       Date:  2004-04-15       Impact factor: 6.986

4.  Open mass spectrometry search algorithm.

Authors:  Lewis Y Geer; Sanford P Markey; Jeffrey A Kowalak; Lukas Wagner; Ming Xu; Dawn M Maynard; Xiaoyu Yang; Wenyao Shi; Stephen H Bryant
Journal:  J Proteome Res       Date:  2004 Sep-Oct       Impact factor: 4.466

5.  PepNovo: de novo peptide sequencing via probabilistic network modeling.

Authors:  Ari Frank; Pavel Pevzner
Journal:  Anal Chem       Date:  2005-02-15       Impact factor: 6.986

6.  Peptide sequence tags for fast database search in mass-spectrometry.

Authors:  Ari Frank; Stephen Tanner; Vineet Bafna; Pavel Pevzner
Journal:  J Proteome Res       Date:  2005 Jul-Aug       Impact factor: 4.466

7.  Peptide sequence tag-based blind identification of post-translational modifications with point process model.

Authors:  Chunmei Liu; Bo Yan; Yinglei Song; Ying Xu; Liming Cai
Journal:  Bioinformatics       Date:  2006-07-15       Impact factor: 6.937

Review 8.  Tandem time-of-flight mass spectrometry.

Authors:  Marvin L Vestal; Jennifer M Campbell
Journal:  Methods Enzymol       Date:  2005       Impact factor: 1.600

9.  Supplemental activation method for high-efficiency electron-transfer dissociation of doubly protonated peptide precursors.

Authors:  Danielle L Swaney; Graeme C McAlister; Matthew Wirtala; Jae C Schwartz; John E P Syka; Joshua J Coon
Journal:  Anal Chem       Date:  2007-01-15       Impact factor: 6.986

10.  Mass spectrometric sequencing of proteins. The structure of subunit I of monellin.

Authors:  G Hudson; K Biemann
Journal:  Biochem Biophys Res Commun       Date:  1976-07-12       Impact factor: 3.575

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  44 in total

Review 1.  Lessons in de novo peptide sequencing by tandem mass spectrometry.

Authors:  Katalin F Medzihradszky; Robert J Chalkley
Journal:  Mass Spectrom Rev       Date:  2015 Jan-Feb       Impact factor: 10.946

2.  Combinatorial Labeling Method for Improving Peptide Fragmentation in Mass Spectrometry.

Authors:  Bhanuramanand Kuchibhotla; Sankara Rao Kola; Jagannadham V Medicherla; Swamy V Cherukuvada; Vishnu M Dhople; Madhusudhana Rao Nalam
Journal:  J Am Soc Mass Spectrom       Date:  2017-03-27       Impact factor: 3.109

3.  Precision De Novo Peptide Sequencing Using Mirror Proteases of Ac-LysargiNase and Trypsin for Large-scale Proteomics.

Authors:  Hao Yang; Yan-Chang Li; Ming-Zhi Zhao; Fei-Lin Wu; Xi Wang; Wei-Di Xiao; Yi-Hao Wang; Jun-Ling Zhang; Fu-Qiang Wang; Feng Xu; Wen-Feng Zeng; Christopher M Overall; Si-Min He; Hao Chi; Ping Xu
Journal:  Mol Cell Proteomics       Date:  2019-01-08       Impact factor: 5.911

Review 4.  Next-generation proteomics: towards an integrative view of proteome dynamics.

Authors:  A F Maarten Altelaar; Javier Munoz; Albert J R Heck
Journal:  Nat Rev Genet       Date:  2012-12-04       Impact factor: 53.242

5.  PepExplorer: a similarity-driven tool for analyzing de novo sequencing results.

Authors:  Felipe V Leprevost; Richard H Valente; Diogo B Lima; Jonas Perales; Rafael Melani; John R Yates; Valmir C Barbosa; Magno Junqueira; Paulo C Carvalho
Journal:  Mol Cell Proteomics       Date:  2014-05-30       Impact factor: 5.911

6.  De novo peptide sequencing by deep learning.

Authors:  Ngoc Hieu Tran; Xianglilan Zhang; Lei Xin; Baozhen Shan; Ming Li
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-18       Impact factor: 11.205

7.  Assessing Protein Sequence Database Suitability Using De Novo Sequencing.

Authors:  Richard S Johnson; Brian C Searle; Brook L Nunn; Jason M Gilmore; Molly Phillips; Chris T Amemiya; Michelle Heck; Michael J MacCoss
Journal:  Mol Cell Proteomics       Date:  2019-11-15       Impact factor: 5.911

8.  Uncovering Thousands of New Peptides with Sequence-Mask-Search Hybrid De Novo Peptide Sequencing Framework.

Authors:  Korrawe Karunratanakul; Hsin-Yao Tang; David W Speicher; Ekapol Chuangsuwanich; Sira Sriswasdi
Journal:  Mol Cell Proteomics       Date:  2019-10-07       Impact factor: 5.911

9.  Ultraviolet Photodissociation Mass Spectrometry for Analysis of Biological Molecules.

Authors:  Jennifer S Brodbelt; Lindsay J Morrison; Inês Santos
Journal:  Chem Rev       Date:  2019-12-18       Impact factor: 60.622

Review 10.  Current algorithmic solutions for peptide-based proteomics data generation and identification.

Authors:  Michael R Hoopmann; Robert L Moritz
Journal:  Curr Opin Biotechnol       Date:  2012-11-08       Impact factor: 9.740

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