Bio-Basis Function Neural Network for Prediction of Protease Cleavage Sites in Proteins
โ Scribed by Yang, Z.R.; Thomson, R.
- Book ID
- 119968637
- Publisher
- IEEE
- Year
- 2005
- Tongue
- English
- Weight
- 589 KB
- Volume
- 16
- Category
- Article
- ISSN
- 1045-9227
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
This paper presents a novel neural learning algorithm for analysing protein peptides which comprise amino acids as non-numerical attributes. The algorithm is derived from the radial basis function neural networks (RBFNNs) and is referred to as a bio-basis function neural network (BBFNN). The basic p
A back propagation neural network method has been developed to study the pattern of polypeptides that can be cleaved by the HIV-1 protease. This method can incorporate many characteristics of the peptides, such as hydrophobicity, beta-sheet and alpha-helix propensities. Mutations can also be applied
## Abstract Knowledge of the polyprotein cleavage sites by HIV protease will refine our understanding of its specificity, and the information thus acquired is useful for designing specific and efficient HIV protease inhibitors. The pace in searching for the proper inhibitors of HIV protease will be