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

被引：35

作者：

Hummon, AB

Hummon, NP

Corbin, RW

Li, LJ

Vilim, FS

Weiss, KR

Sweedler, JV

机构：

[1] Univ Illinois, Dept Chem, Urbana, IL 61801 USA

[2] Univ Illinois, Beckman Inst, Urbana, IL 61801 USA

[3] Univ Pittsburgh, Dept Sociol, Pittsburgh, PA 15260 USA

[4] Mt Sinai Sch Med, Dept Physiol & Biophys, New York, NY 10029 USA

来源：

JOURNAL OF PROTEOME RESEARCH | 2003年 / 2卷 / 06期

关键词：

proteolytic processing; neuropeptides; MALDI MS; prediction algorithms;

D O I：

10.1021/pr034046d

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Predicting the final neuropeptide products from neuropeptides genes has been problematic because of the large number of enzymes responsible for their processing. The basic processing of 22 Aplysia californica prohormones representing 750 cleavage sites have been analyzed and statistically modeled using binary logistic regression analyses. Two models are presented that predict cleavage probabilities at basic residues based on prohormone sequence. The complex model has a correct classification rate of 97%, a sensitivity of 97%, and a specificity of 96% when tested on the Aplysia dataset.

引用

页码：650 / 656

页数：7

共 56 条

[31]

NAGLE GT, 1988, J BIOL CHEM, V263, P9223

[32]

Ouimet T, 1997, J NEUROCHEM, V68, P1031

[33] PROTEOLYTIC PROCESSING OF THE APLYSIA-A PEPTIDE PRECURSOR IN ATT-20 CELLS [J].