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Items: 1 to 20 of 93

1.

NeuroPred: a tool to predict cleavage sites in neuropeptide precursors and provide the masses of the resulting peptides.

Southey BR, Amare A, Zimmerman TA, Rodriguez-Zas SL, Sweedler JV.

Nucleic Acids Res. 2006 Jul 1;34(Web Server issue):W267-72.

2.

Comparative analysis of neuropeptide cleavage sites in human, mouse, rat, and cattle.

Tegge AN, Southey BR, Sweedler JV, Rodriguez-Zas SL.

Mamm Genome. 2008 Feb;19(2):106-20. doi: 10.1007/s00335-007-9090-9. Epub 2008 Jan 23.

PMID:
18213482
3.

A python analytical pipeline to identify prohormone precursors and predict prohormone cleavage sites.

Southey BR, Sweedler JV, Rodriguez-Zas SL.

Front Neuroinform. 2008 Dec 16;2:7. doi: 10.3389/neuro.11.007.2008. eCollection 2008.

4.

NeuroPID: a classifier of neuropeptide precursors.

Karsenty S, Rappoport N, Ofer D, Zair A, Linial M.

Nucleic Acids Res. 2014 Jul;42(Web Server issue):W182-6. doi: 10.1093/nar/gku363. Epub 2014 May 3.

5.

Characterization of the prohormone complement in cattle using genomic libraries and cleavage prediction approaches.

Southey BR, Rodriguez-Zas SL, Sweedler JV.

BMC Genomics. 2009 May 16;10:228. doi: 10.1186/1471-2164-10-228.

6.

Mono- and dibasic proteolytic cleavage sites in insect neuroendocrine peptide precursors.

Veenstra JA.

Arch Insect Biochem Physiol. 2000 Feb;43(2):49-63. Review.

PMID:
10644969
7.

Prediction of neuropeptide prohormone cleavages with application to RFamides.

Southey BR, Rodriguez-Zas SL, Sweedler JV.

Peptides. 2006 May;27(5):1087-98. Epub 2006 Feb 21.

PMID:
16494967
8.

Bridging neuropeptidomics and genomics with bioinformatics: Prediction of mammalian neuropeptide prohormone processing.

Amare A, Hummon AB, Southey BR, Zimmerman TA, Rodriguez-Zas SL, Sweedler JV.

J Proteome Res. 2006 May;5(5):1162-7.

9.

Prediction of neuropeptide cleavage sites in insects.

Southey BR, Sweedler JV, Rodriguez-Zas SL.

Bioinformatics. 2008 Mar 15;24(6):815-25. doi: 10.1093/bioinformatics/btn044. Epub 2008 Feb 5.

PMID:
18252740
10.

From precursor to final peptides: a statistical sequence-based approach to predicting prohormone processing.

Hummon AB, Hummon NP, Corbin RW, Li L, Vilim FS, Weiss KR, Sweedler JV.

J Proteome Res. 2003 Nov-Dec;2(6):650-6.

PMID:
14692459
11.

Bioinformatic approaches to the identification of novel neuropeptide precursors.

Clynen E, Liu F, Husson SJ, Landuyt B, Hayakawa E, Baggerman G, Wets G, Schoofs L.

Methods Mol Biol. 2010;615:357-74. doi: 10.1007/978-1-60761-535-4_25.

PMID:
20013220
12.

Cloning, expression and processing of the CP2 neuropeptide precursor of Aplysia.

Vilim FS, Alexeeva V, Moroz LL, Li L, Moroz TP, Sweedler JV, Weiss KR.

Peptides. 2001 Dec;22(12):2027-38.

PMID:
11786187
13.

Direct peptide profiling by mass spectrometry of single identified neurons reveals complex neuropeptide-processing pattern.

Li KW, Hoek RM, Smith F, Jiménez CR, van der Schors RC, van Veelen PA, Chen S, van der Greef J, Parish DC, Benjamin PR, et al.

J Biol Chem. 1994 Dec 2;269(48):30288-92.

14.

MannDB - a microbial database of automated protein sequence analyses and evidence integration for protein characterization.

Zhou CL, Lam MW, Smith JR, Zemla AT, Dyer MD, Kuczmarski TA, Vitalis EA, Slezak TR.

BMC Bioinformatics. 2006 Oct 17;7:459.

15.

ProSight PTM 2.0: improved protein identification and characterization for top down mass spectrometry.

Zamdborg L, LeDuc RD, Glowacz KJ, Kim YB, Viswanathan V, Spaulding IT, Early BP, Bluhm EJ, Babai S, Kelleher NL.

Nucleic Acids Res. 2007 Jul;35(Web Server issue):W701-6. Epub 2007 Jun 22.

18.

PrediSi: prediction of signal peptides and their cleavage positions.

Hiller K, Grote A, Scheer M, Münch R, Jahn D.

Nucleic Acids Res. 2004 Jul 1;32(Web Server issue):W375-9.

19.
20.

Prediction of posttranslational modifications using intact-protein mass spectrometric data.

Holmes MR, Giddings MC.

Anal Chem. 2004 Jan 15;76(2):276-82.

PMID:
14719871

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