Transmembrane Alpha Helix Prediction Using Neural Networks
DOI:
https://doi.org/10.32628/IJSRSET20715Keywords:
Alfa Helix Transmembrane, Artificial Neural Network, Feed-forward Topology, Neural Network.Abstract
This paper presents a simple artificial neural network which classifies proteins into two classes from their sequences alone: the alpha helix transmembrane protein class and the non-alpha helix transmembrane protein class. The network described here has a simple feed-forward topology and a limited number of neurons which makes it very fast.
References
- Yan Liu, “Conditional Graphical Model for Protein Structure Prediction”.
- Jean-Luc Popot and Donald M. Engelman, “Helical Membrane Protein Folding, Stability, and Evolution”.
- Aramak Afzal, “Application of Neural Networks in Protein Structure Prediction”
- Ben Krose and Patrick Vander Smagt, “An Introduction to Neural Networks“, Eighth Edition November 1996.
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