Short Commentary on: On the Prediction of DNA-binding Preferences of C2H2-ZF Domains Using Structural Models: Application on Human CTCF
2020
In the work entitled “On the prediction of DNA-binding preferences of C2H2-ZF domains using structural models:
application on human CTCF” we present a new computational method to predict the DNA-binding preferences for
Cis2-His2 zinc finger (C2H2-ZF) protein-domains from their amino acid sequence or structure. The method uses
the structures of protein-DNA complexes to calculate a set of knowledge-based statistical potentials. Given the low
numbers of protein-DNA complexes with known structure, we supplement the set of structures with experimental
yeast-one-hybrid interactions of more than 170000 sequence-designed C2H2-ZF domains. We have implemented a
server to model the structure of any protein-DNA complex of this family and derive its theoretical Position Weight
Matrix based on the best scores of interactions calculated with the statistical potentials. The approach is validated
and applied to the human sequence of CTCF.
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