Predicting functional family of novel enzymes irrespective of sequence similarity: a statistical learning approach.

ABSTRACT: The function of a protein that has no sequence homolog of known function is difficult to assign on the basis of sequence similarity. The same problem may arise for homologous proteins of different functions if one is newly discovered and the other is the only known protein of similar sequence. It is desirable to explore methods that are not based on sequence similarity. One approach is to assign functional family of a protein to provide useful hint about its function. Several groups have employed a statistical learning method, support vector machines (SVMs), for predicting protein functional family directly from sequence irrespective of sequence similarity. These studies showed that SVM prediction accuracy is at a level useful for functional family assignment. But its capability for assign

SUBMITTER: Han LY 

PROVIDER: S-EPMC535691 | biostudies-literature | 2004

REPOSITORIES: biostudies-literature