Determine statistically significant differences in protein sequences
I have a list of 100 homologous protein sequences wit various differences between them.
I also know that a percentage of them bind to a target (control group). So I am trying to learn a systematic way to identify the differences in amino acids between the control group and non-control group. Preferably wit some statistical confidence. Obviously, a sequences alignment would "show" me differences, but I'm trying to identify the important ones.
Can someone point me to some keywords or applications that I could learn about to do this?
• 827 views
•
link
written
by
brett.spurrier •
0 answers
No answers yet.
Log in to answer this question.
More posts like this
-
How to align integer (non-DNA/protein) sequences?
written by altos-squabs-0e •
-
Calculating Similarity Score between two groups of peptides
written by Enoch •
-
Compare protein functionality between species
written by Howard •
-
protein blast from amino acid sequences
written by dpc
-
Simple question on amino acids
written by tomlaheyh •
-
Clustering amino acids sequences to detect homologies
written by ddowlin
-
Is there any correlation between molecule sizes and their interaction energy after a molecular dock…
written by daniel.ancord •
-
How Is Epitope Mapping Done
written by WinnyH •
-
Physico-Chemical Properties Of Amino Acids
written by anwar123 •
-
Statistical Analysis Of Protein Sequence Properties
written by User 0063 •
I'm not aware of a software that does specifically that but it's a simple Fisher's exact test or chi-square, testing if each sequence "feature" is enriched in the non-control. Although you'll have to take evolution into account, if your trait is evolutionary conserved and so are the sequences you will probably find correlating changes which are unrelated.