PROTEINOTOPIC FEATURE MAPS

被引：112

作者：

MERELO, JJ

ANDRADE, MA

PRIETO, A

MORAN, F

机构：

[1] UNIV GRANADA,FAC CIENCIAS,DEPT ELECTR & TECNOL COMPUTADORES,E-18071 GRANADA,SPAIN

[2] UNIV COMPLUTENSE,FAC QUIM,DEPT BIOQUIM & BIOL MOLEC 1,E-28040 MADRID,SPAIN

[3] UNIV PARIS 05,MED STAT LAB,F-75270 PARIS 06,FRANCE

[4] UNIV SO CALIF,BRAIN SIMULAT LAB,LOS ANGELES,CA 90089

[5] UNIV LIBRE BRUXELLES,B-1050 BRUSSELS,BELGIUM

[6] UNIV CALIF IRVINE,IRVINE,CA 92717

来源：

NEUROCOMPUTING | 1994年 / 6卷 / 04期

关键词：

NEURAL NETWORK APPLICATIONS; SELF-ORGANIZING MAPS; CLASSIFICATION PROCEDURES; CIRCULAR DICHROISM; PROTEIN STRUCTURE;

D O I：

10.1016/0925-2312(94)90021-3

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper a system based on Kohonen's SOM (Self-Organizing Map) for protein classification according to Circular Dichroism (CD) spectra is described. As a result, proteins with different secondary structures are clearly separated through a completely unsupervised training process. The algorithm is able to extract features from a high-dimensional vector (CD spectra) and map it to a 2-dimensional network. A new measure, called distortion, has been introduced to test SOM performance. Distortion can be used to fine tune and optimize some of the parameters of the SOM algorithm.

引用

页码：443 / 454

页数：12

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