Literature DB >> 20483343

New compstatin variants through two de novo protein design frameworks.

M L Bellows1, H K Fung, M S Taylor, C A Floudas, A López de Victoria, D Morikis.   

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. Copyright 2010 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20483343      PMCID: PMC2872270          DOI: 10.1016/j.bpj.2010.01.057

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


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4.  Systematic optimization model and algorithm for binding sequence selection in computational enzyme design.

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7.  De novo peptide design with C3a receptor agonist and antagonist activities: theoretical predictions and experimental validation.

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8.  Novel compstatin family peptides inhibit complement activation by drusen-like deposits in human retinal pigmented epithelial cell cultures.

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