Format

Send to

Choose Destination
J Comput Biol. 2000 Feb-Apr;7(1-2):95-114.

A discriminative framework for detecting remote protein homologies.

Author information

1
MIT Artificial Intelligence Laboratory, Cambridge, MA 02139, USA.

Abstract

A new method for detecting remote protein homologies is introduced and shown to perform well in classifying protein domains by SCOP superfamily. The method is a variant of support vector machines using a new kernel function. The kernel function is derived from a generative statistical model for a protein family, in this case a hidden Markov model. This general approach of combining generative models like HMMs with discriminative methods such as support vector machines may have applications in other areas of biosequence analysis as well.

PMID:
10890390
DOI:
10.1089/10665270050081405
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Atypon
Loading ...
Support Center