Machine learning techniques and drug design.

@article{Gertrudes2012MachineLT,
  title={Machine learning techniques and drug design.},
  author={Jadson Castro Gertrudes and Vin{\'i}cius Gonçalves Maltarollo and Ronaldo Ap. Silva and Patr{\'i}cia Rufino Oliveira and K{\'a}thia M. Hon{\'o}rio and Alb{\'e}rico Borges Ferreira da Silva},
  journal={Current medicinal chemistry},
  year={2012},
  volume={19 25},
  pages={
          4289-97
        }
}
The interest in the application of machine learning techniques (MLT) as drug design tools is growing in the last decades. The reason for this is related to the fact that the drug design is very complex and requires the use of hybrid techniques. A brief review of some MLT such as self-organizing maps, multilayer perceptron, bayesian neural networks, counter-propagation neural network and support vector machines is described in this paper. A comparison between the performance of the described… CONTINUE READING
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