Article
A SOFM approach to predicting HIV drug resistance.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing - 1 Jan 2002
Potter R Brian, Draghici Sorin
Abstract excerpt
The self-organizing feature map (SOFM or SOM) neural network approach has been applied to a number of life sciences problems. In this paper, we apply SOFMs in predicting the resistance of the HIV virus to Saquinavir, an approved protease inhibitor. We show that a SOFM predicts resistance to Saquinavir with reasonable success based solely on the amino acid sequence of the HIV protease mutation. The best single...
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