Title :
A fast learning neural network approach to protein secondary structure identification
Author :
Masetti, Tommaso ; Salvini, Alessandro ; Carli, Marco ; Neri, Alessandro
Author_Institution :
Appl. Electron. Dept., Roma Univ., Italy
Abstract :
Protein secondary structures are regular structural elements which are formed by hydrogen bonds between relatively small segments of the protein sequence. In this paper a fast learning neural network approach to protein secondary structure identification is presented. The identification is obtained by using an ad hoc neural network. Experimental results show the effectiveness of the proposed approach.
Keywords :
ad hoc networks; hydrogen bonds; learning (artificial intelligence); proteins; recurrent neural nets; ad hoc network; fast learning neural network; hydrogen bond; protein secondary structure identification; protein sequence; regular structural element; Amino acids; Chemicals; Databases; Focusing; Hydrogen; Neural networks; Peptides; Proteins; Sequences; Signal processing algorithms;
Conference_Titel :
Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the 3rd International Symposium on
Print_ISBN :
953-184-061-X
DOI :
10.1109/ISPA.2003.1296365
