Predicting the Effect of SNPs (PKU)
Contents
Short Introduction
This week's task builds on the data gathered last week. We blindly choose 5 disease causing and 5 harmless SNPs and will try to predict their effect from the sequence change alone. You may find a detailed task description at the usual place and consult our task journal.
Our dataset
we propose the following dataset:
- GLU76GLY
- SER87ARG
- GLN172HIS
- ARG158GLN
- ARG243GLN
- LEU255SER
- MET276VAL
- ALA322GLY
- GLY337VAL
- ARG408TRP
You could check them, if you like.. I put them together 5 minutes ago and already forgot, which are which. ;-)
Investigated SNPS
GLU76GLY
From neg. charged, polar, strongly hydrophilic, medium sized to neutral, non-polar, non-hydrophilic, small.
SER87ARG
From neutral, polar, slightly hydrophilic to pos. charged, polar, strongly hydrophilic.
ARG158GLN
From pos. charged, polar, strongly hydrophilic to neutral, polar, strongly hydrophilic.
GLN172HIS
From neutral, polar, strongly hydrophilic to neutral, polar, strongly hydrophilic, ring-structure
ARG243GLN
From pos. charged, polar, strongly hydrophilic to neutral, polar, strongly hydrophilic.
LEU255SER
From neutral, non polar, strongly hydrophobic to neutral, polar, slightly hydrophilic.
MET276VAL
From neutral, non-polar, hydrophobic to neutral, non-polar, strongly hydrophobic.
ALA322GLY
From neutral, non-polar, hydrophobic, small to neutral, non-polar, slightly hydrophilic, small.
GLY337VAL
From neutral, non-polar, slightly hydrophilic, small to neutral, non-polar, strongly hydrophobic, medium sized.
ARG408TRP
From pos. charged, polar, strongly hydrophilic, medium sized to neutral, non-polar, slightly hydrophilic, large.
