Computational Design of a DNA- and Fc-Binding Fusion Protein
Computational design of novel proteins with well-defined functions is an ongoing topic in computational biology. In this work, we generated and optimized a new synthetic fusion protein using an evolutionary approach. The optimization was guided by directed evolution based on hydrophobicity scores, m...
Saved in:
Published in | Advances in Bioinformatics Vol. 2011; no. 2011; pp. 74 - 80 |
---|---|
Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Cairo, Egypt
Hindawi Limiteds
2011
Hindawi Puplishing Corporation Hindawi Publishing Corporation |
Online Access | Get full text |
Cover
Loading…
Summary: | Computational design of novel proteins with well-defined functions is an ongoing topic in computational biology. In this work, we generated and optimized a new synthetic fusion protein using an evolutionary approach. The optimization was guided by directed evolution based on hydrophobicity scores, molecular weight, and secondary structure predictions. Several methods were used to refine the models built from the resulting sequences. We have successfully combined two unrelated naturally occurring binding sites, the immunoglobin Fc-binding site of the Z domain and the DNA-binding motif of MyoD bHLH, into a novel stable protein. |
---|---|
Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Academic Editor: Shandar Ahmad |
ISSN: | 1687-8027 1687-8035 |
DOI: | 10.1155/2011/457578 |