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Mehmet Sarikaya

Publications and source records attributed to Mehmet Sarikaya.

5 recordsLinked to original sources

Identification and characterization of Cu(2)O- and ZnO-binding polypeptides by Escherichia coli cell surface display: toward an understanding of metal oxide binding.

We have used the FliTrx cell surface display system to identify disulfide-constrained dodecapeptides binding to the semiconducting metal oxides Cu(2)O and ZnO. Sequence analysis of the inserts revealed that the two populations exhibit similar, yet subtly different patterns of amino acid usage. Both sets of binders were enriched in arginine, tryptophan, and glycine with a higher degree of positional preference in the case of Cu(2)O binders. Tyrosine, proline, and serine were underrepresented in both populations. Peptides binding electrodeposited Cu(2)O or ZnO with high avidity could be subdivided into two classes based on pI and hydrophilicity. In the hydrophilic and positively charged Class I binders, the Arg-X-X-Arg tetrapeptide appears to be implicated in metal oxide binding, whereas Arg-Arg and Arg-Lys pairs allow for discrimination between Cu(2)O and ZnO. Molecular dynamics simulations of the disulfide-constrained peptides suggest that the aforementioned motifs are important to properly orient two basic residues that are likely to contact the metal oxides. The implications of our results in understanding the rules governing the interaction between peptides and inorganic compounds and in their use for the design of hybrid nanoarchitectures are discussed.

Amino Acid Motifs↗

Molecular biomimetics: nanotechnology through biology.

Proteins, through their unique and specific interactions with other macromolecules and inorganics, control structures and functions of all biological hard and soft tissues in organisms. Molecular biomimetics is an emerging field in which hybrid technologies are developed by using the tools of molecular biology and nanotechnology. Taking lessons from biology, polypeptides can now be genetically engineered to specifically bind to selected inorganic compounds for applications in nano- and biotechnology. This review discusses combinatorial biological protocols, that is, bacterial cell surface and phage-display technologies, in the selection of short sequences that have affinity to (noble) metals, semiconducting oxides and other technological compounds. These genetically engineered proteins for inorganics (GEPIs) can be used in the assembly of functional nanostructures. Based on the three fundamental principles of molecular recognition, self-assembly and DNA manipulation, we highlight successful uses of GEPI in nanotechnology.

Amino Acid Sequence↗

Enamel structure properties controlled by engineered proteins in transgenic mice.

UNLABELLED: Amelogenin protein has regulatory effects on enamel biofabrication in mammalian tooth. Using teeth obtained from transgenic mice that express two separate protein-engineered versions of amelogenins, we made structure-nanomechanical properties correlations and showed 21% hardness and 24% elastic modulus degradation compared with the age-matched wildtype littermates. We attribute the inferior properties to the disorganization of the protein matrix resulting in defective mineral formation. INTRODUCTION: Enamel is a bioceramic initiated by the biosynthesis of a complex mixture of proteins that undergoes self-assembly to produce a super molecular ensemble that controls the nucleation and habit of the crystalline mineral phase. Ultimately, the inorganic crystals grow to almost fully replace the organic phase. This biofabrication process occurs at physiologic conditions of pH, temperature, pressure, and ion concentration and results in the hardest tissue in the vertebrate body, with the largest and longest substituted-hydroxyapatite crystals known to biomineralizing systems. The most abundant protein of forming mammalian enamel, amelogenin, has been shown to have a significant regulatory effect on this complex process. MATERIALS AND METHODS: In this work, we present the effect of protein engineering of amelogenin on the mechanical properties of the resultant mouse enamel. We have produced two types of transgenic animals that express separate versions of amelogenin proteins that lack the required self-assembly domains. The resultant matured enamel was extensively characterized for its mechanical properties at the nanoscale by means of nanoindentation and atomic force microscopy (AFM). These techniques have enabled us to probe the mechanical properties that are representative of a single enamel rod. RESULTS: Our nanoindentation measurements have revealed that the altered amelogenin with dysfunctional self-assembly properties resulted in a degradation by as much as 21% in hardness and 24% in elastic modulus compared with the age-matched wildtype littermates. Furthermore, the enamel formed by these defective proteins is found to display a decrease in indentation surface pile-up volume by up to 32%. CONCLUSIONS: We attribute these inferior mechanical properties for the enamel grown by the engineered amelogenins to result from the disorganization of the nanospheres formed in the protein matrix starting at the mineral nucleation stage with a consequential alteration to the fully grown mineral component. By engineering the properties of proteins that contribute to the nanoscale level of hierarchy in enamel biomineralization, it is possible to regulate the properties of the resulting bioceramic at the mesoscale level of the tissue.

Amelogenin↗

Genetically engineered gold-binding polypeptides: structure prediction and molecular dynamics.

The biological control of inorganic crystal formation, morphology, and assembly is of interest to biologists and biotechnologists studying hard tissue growth and regeneration, as well as to materials scientists using biomimetic approaches for the control of inorganic material fabrication and assembly. Biomimetics requires an accurate understanding of natural mechanisms at the molecular level. Such understanding can be derived from the use of metal surfaces to study surface recognition by proteins together with combinatorial genetics techniques for the selection of suitable peptides. Polymerization of these peptides produces engineered polypeptides large enough to encode their own folding information with low structural complexity, while enhancing binding affinity to surfaces. The low complexity of such polypeptides can aid in analyses, leading to modeling and eventual manipulation of the structure of the folded polypeptide. This paper presents structure predictions for gold-binding protein sequences, originally selected by combinatorial techniques. Molecular dynamics simulations lasting 5 ns were carried out using solvated polypeptides at the gold surface to assess the dynamics of the binding process and the effects of surface topography on the specificity of protein binding.

Amino Acid Sequence↗