Secondary structure prediction is reported in ApInAPDB using Chou-Fasman, GOR, Neural Network algorithms (cib.cf.ocha.ac.jp/bitool/MIX/ ) (ver. 1.1) available on Center for Information Biology (CIB) created by Ochanomizu University. In addition, CIB provides users with the facility to reach a consensus on the secondary structure prediction based on the three aforementioned algorithms. Therefore, a consentaneous result
Predict locations of peptide secondary structures from amino acid sequence based on "majority is right" method using CF, GOR, and NN.
is reported for each peptide.
H=Helix, E=Extended strand, C=Coil, T=Turn
Method
Structure
Chou-Fasman
CCCCHHHHHHHHHHHCHHHHHHHCCCC
GOR
CTTTCCHHHHHHHHHHHHHHHHHHTTC
Neural Network
CCCCCCCCHHHHHHHHHHHHHHHHCCC
Consentaneous Result
Predict locations of peptide secondary structures from amino acid sequence based on "majority is right" method using CF, GOR, and NN.
It corresponds to a graphical representation of the probabilities of each Structural Alphabet (SA) - letter (vertical axis) at each position of the sequence (horizontal axis). Note that SA letters correspond to fragments of 4 residue length. The profile is presented using the following color code: red: helical, green: extended, blue: coil.
Physicochemical properties
Descriptors for QSAR modeling
To help scientists in QSAR modeling development, 1559 descriptors are calculated for each peptide using BioProt available in Biotriangle web server (http://biotriangle.scbdd.com/protein/index/ ) and presented as downloadable CSV file format.