NETASA:
Neural Network Application to Predict Solvent Accessibility of Proteins

This program predicts solvent accessibility of residues in a given amino acid sequence. Predictions are made according to our new algorithm, based on neural network, which has been trained for different accessibility states using various threshold values. Certain choices are presented here. A choice of threshold means that a residue was classified into exposed (e), buried (b) or partially buried (p) states, depending on the value of its accessible surface area falling within the range described therein. e.g. If a user chooses 25% threshold then a residue predicted to be buried means it has less than 25% surface area accessible to solvents. Thus in a 25% choice, residues are classified as "buried" or "exposed", if they have less or more than 25% exposed surface area, respectively. If a user chooses 25-75% case, it means that the states are classified as:
Buried: 0-25% exposed surface area. Partially Buried: 25-75% exposed surface area. Exposed: More than 75% exposed surface area.
While submitting your queries, please note the following:
1. Enter sequence in one letter code without spaces.
2. Carriage return for next line are allowed but spaces are not.
3. Largest sequence size is 700. If you indeed have a larger sequence to predict, contact Shandar Ahmad

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Reference: Shandar Ahmad and M. Michael Gromiha, Bioinformatics (2002) 18, 819-824 .
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