Towards rational design of peptides for selective interaction with inorganic materials

Utilizing molecular recognition and self-assembly, material-specific biomolecules have shown great promise for engineering and ordering materials at the nanoscale. These molecules, inspired from natural biomineralization systems, are now commonly selected against non-natural inorganic materials through biopanning random combinatorial peptide libraries. Unfortunately, the challenge of studying the biological inorganic interface has slowed the understanding of interactions principles, and hence limited the number of downstream applications. This work focuses on the facile study of the peptide-inorganic interface using Yeast Surface Display. The general approach is to use combinatorial selection to suggest interaction principles followed by rational design to refine understanding. In this pursuit, two material groups-II-VI semiconductors and synthetic sapphire (metal oxides)-are chosen as inorganic targets due to their technological relevance and ease of study. First, yeast surface display (YSD) was established as a broadly applicable method for studying peptide-material interactions by screening a human scFv YSD library against cadmium sulfide (CdS), a II-VI semiconductor. The presence of multiple histidine residues was found to be necessary for mediating cell binding to CdS. As a follow-up, a systematic screen with yeast displayed rationally designed peptides was performed on a panel of II-VI semiconductors and gold. Cell binding results indicated that peptide interaction was mediated by a limited number of amino acids that were influenced by locally situated residues. Interpretation of the results facilitated design of new peptides with desired material specificities. Next, the nature of peptide/metal oxide binding interface was interrogated using sapphire crystalline faces as model surfaces.

Department dc:contributor.department

Massachusetts Institute of Technology. Biological Engineering Division.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2007

Author dc:creator

• Krauland, Eric Mark

Advisor dc:contributor.advisor

• Angela M. Belcher.

• Biological Engineering Division.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/44682

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/44682