Machine Learning Integration for Predicting the Effect of Single Amino Acid Substitutions on Protein Stability
[About] [Web Server] [Help] [Datasets]
Sample Data Instance
1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
-1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
53
3.2
Input Format
-1neighbors +1neighbors
-2neighbors +2neighbors
-3neighbors +3neighbors
mutation
t
ph
Notes
-1neighbors: -1 neighbors in the sequence [A C D E F G H I K L M N P Q R S T V W Y]
+1neighbors: +1 neighbors in the sequence [A C D E F G H I K L M N P Q R S T V W Y]
-2neighbors: -2 neighbors in the sequence [A C D E F G H I K L M N P Q R S T V W Y]
+2neighbors: +2 neighbors in the sequence [A C D E F G H I K L M N P Q R S T V W Y]
-3neighbors: -3 neighbors in the sequence [A C D E F G H I K L M N P Q R S T V W Y]
+3neighbors: +3 neighbors in the sequence [A C D E F G H I K L M N P Q R S T V W Y]
mutation   : mutation (-1 for removed, +1 for introduced) [A C D E F G H I K L M N P Q R S T V W Y]
t          : temperature
ph         : pH value
Output Format
Result        : destabilizing or stabilizing
Probability   : probability estimate
Test Instance : tested input