01342nam a2200277 a 450000100080000000500110000800800410001910000160006024501080007626001780018430000190036250000170038152004070039865000190080565000210082465000130084565000130085865300240087165300200089565300310091565300230094665300350096970000240100470000160102870000200104410314852020-01-15       2008    bl uuuu     u00u1 u    #d1 aBOARETO, M.  aPredicting enzyme class from protein structure using super paramagnetic cluster.h[electronic resource]  aIn: INTERNATIONAL WORKSHOP ON BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING, 28., 2008, São Sebastião, SP. Proceedings... São Paulo: USPc2008  aNão paginado.  aMaxEnt 2008.  aThe enzymes can be divided into six different protein classes according to their respective functions: oxidoreductases, transferases, hydrolases, lyases, isomerases and ligases [1]. The goal of this work is to predict enzyme class from structural attributes using Super Paramagnetic Cluster (SPC) method [2]. This approach is motivated by the existence of a relationship between structure and function.  aBioinformatics  aCluster analysis  aProteins  aProteina  aAnálise de cluster  aBioinformática  aClasssificação de enzima  aEstrutura proteica  aPrevisão da função proteica1 aYAMAGISHI, M. E. B.1 aCATICHA, N.1 aLEITE, V. B. P.