Transmembrane Alpha Helix Prediction Using Neural Networks

Authors

  • Saumitra Singh  Defence Accounts Department, Prayagraj, Uttar Pradesh, India

DOI:

https://doi.org//10.32628/IJSRSET20715

Keywords:

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

  1. Yan Liu, “Conditional Graphical Model for Protein Structure Prediction”.
  2. Jean-Luc Popot and Donald M. Engelman, “Helical Membrane Protein Folding, Stability, and Evolution”.
  3. Aramak Afzal, “Application of Neural Networks in Protein Structure Prediction”
  4. Ben Krose and Patrick Vander Smagt, “An Introduction to Neural Networks“, Eighth Edition November 1996.

International Journal of Scientific Research in Science, Engineering and Technology

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Published

2020-02-12

Issue

Volume 7, Issue 1, January-February-2020

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Saumitra Singh, " Transmembrane Alpha Helix Prediction Using Neural Networks, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 7, Issue 1, pp.102-104, January-February-2020. Available at doi : https://doi.org/10.32628/IJSRSET20715