Identifying functionally important sites in natural protein families.

<p>The symmetrized AUC for the prediction of sites with large mutational effects is computed on 30 protein families, using four different methods: ICOD, SCA, MI and Conservation, using Deep Mutational Scan (DMS) data as ground truth. For ICOD and MI, the average product correction (APC) [<a...

Full description

Saved in:

Bibliographic Details
Main Author:	Nicola Dietler (12551766) (author)
Other Authors:	Alia Abbara (19557026) (author), Subham Choudhury (19727478) (author), Anne-Florence Bitbol (299618) (author)
Published:	2024
Subjects:	Biochemistry Medicine Genetics Molecular Biology Evolutionary Biology Infectious Diseases Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified minimal model comprising strong functional roles multiple sequence alignments additive functional trait mutational effect inference modeling results motivated also quite robust identify functional sectors identify sectors functional sectors mutational effects modeling showed functional sector functional properties also arise sequence data two methods sector identification respectively focus principled method nonlinear selection methods aiming mere fact homologous proteins give rise generically expected different premises different methods acid usage
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Identifying functionally important sites in natural protein families.

Similar Items