title: New compstatin variants through two de novo protein design frameworks.
abstract: Two de novo protein design frameworks are applied to the discovery of new compstatin variants. One is based on sequence selection and fold specificity, whereas the other approach is based on sequence selection and approximate binding affinity calculations. The proposed frameworks were applied to a complex of C3c with compstatin variant E1 and new variants with improved binding affinities are predicted and experimentally validated. The computational studies elucidated key positions in the sequence of compstatin that greatly affect the binding affinity. Positions 4 and 13 were found to favor Trp, whereas positions 1, 9, and 10 are dominated by Asn, and position 11 consists mainly of Gln. A structural analysis of the C3c-bound peptide analogs is presented.
authors.affiliation: Department of Chemical Engineering, Princeton University, Princeton, New Jersey, USA.
authors.forename: M L
authors.initials: ML
authors.lastname: Bellows
authors.forename: H K
authors.initials: HK
authors.lastname: Fung
authors.forename: M S
authors.initials: MS
authors.lastname: Taylor
authors.forename: C A
authors.initials: CA
authors.lastname: Floudas
authors.forename: A
authors.initials: A
authors.lastname: López de Victoria
authors.forename: D
authors.initials: D
authors.lastname: Morikis
mesh_terms: D001665:Binding Sites; D008958:Models, Molecular; D010456:Peptides, Cyclic / Q000737:chemistry* / Q000235:genetics; D020033:Protein Isoforms / Q000235:genetics; D013329:Structure-Activity Relationship
chemical_list: D010456:Peptides, Cyclic; D020033:Protein Isoforms; C111828:compstatin