QuasiSequenceOrder | index /home/orient/ProPy/propy/QuasiSequenceOrder.py |
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This module is used for computing the quasi sequence order descriptors based on the
given protein sequence. We can obtain two types of descriptors: Sequence-order-coupling
number and quasi-sequence-order descriptors. Two distance matrixes between 20 amino acids
are employed. You can freely use and distribute it. If you have any problem, please contact
us immediately.
References:
[1]:Kuo-Chen Chou. Prediction of Protein Subcellar Locations by Incorporating
Quasi-Sequence-Order Effect. Biochemical and Biophysical Research Communications
2000, 278, 477-483.
[2]: Kuo-Chen Chou and Yu-Dong Cai. Prediction of Protein sucellular locations by
GO-FunD-PseAA predictor, Biochemical and Biophysical Research Communications,
2004, 320, 1236-1239.
[3]:Gisbert Schneider and Paul wrede. The Rational Design of Amino Acid
Sequences by Artifical Neural Networks and Simulated Molecular Evolution: Do
Novo Design of an Idealized Leader Cleavge Site. Biophys Journal, 1994, 66,
335-344.
Authors: Dongsheng Cao and Yizeng Liang.
Date: 2012.09.03
Email: oriental-cds@163.com
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AALetter = ['A', 'R', 'N', 'D', 'C', 'E', 'Q', 'G', 'H', 'I', 'L', 'K', 'M', 'F', 'P', 'S', 'T', 'W', 'Y', 'V'] |