A Neural Network Method for Prediction of Proteolytic Cleavage Sites in Neuropeptide Precursors

Author

Liu, Feng ; Wets, Geert

Author_Institution

Fac. of Appl. Econ., Limburg Univ., Diepenbeek

fYear

2006

Firstpage

2805

Lastpage

2808

Abstract

Proteolytic processing occurs predominantly at basic amino acid residues. The existence of the cleavage sites not recognized by rules proposed in previous studies prompts us to test whether, and to what extent, the sites cleave. Due to the imbalanced cleavage site database from SWISS, Smote combined with Tomek links is applied to over-sample the data. A neural network method is then developed to predict the probabilities of proteolytic processing occurrences at the sites in neuropeptide precursors. The sensitivities are 91%, 93%, 91%, 90%, 79% and 83% for KR, RR, RK, KK, R and K, respectively, which is significantly better than previous prediction schemes

Keywords

biology computing; molecular biophysics; neural nets; proteins; SWISS; amino acid residues; neural network method; neuropeptide precursors; probability; proteolytic cleavage sites; proteolytic processing; Amino acids; Biochemistry; Data analysis; Databases; Economic forecasting; Frequency; Intelligent networks; Neural networks; Peptides; Personal communication networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the

Conference_Location

Shanghai

Print_ISBN

0-7803-8741-4

Type

conf

DOI

10.1109/IEMBS.2005.1617056

Filename

1617056