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1200 E. California Blvd.
Pasadena, CA
91125-9600
Mail Code: 114-96
Location: 130 Broad
(626) 395-6407
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Research
Calmodulin (CaM) is an ideal system for studying
the specificity of protein-protein interactions by computational design. CaM
is a small Ca2+-binding protein that binds to and regulates numerous proteins in
vivo with high affinity, including smooth muscle myosin light chain kinase
(smMLCK) and CaM kinase I (CaMKI). In addition, several high-resolution
CaM-peptide complexes have been solved by X-ray crystallography.
Shifman and Mayo [1] successfully used the ORBIT
computational design software to generate a CaM variant with increased specificity
toward the smMLCK peptide. However, this feat was accomplished by optimizing
the interface between CaM and the smMLCK peptide and did not use any negative
design to disfavor the binding of other CaM-binding peptides. In addition, this
variant did not discriminate between the smMLCK and CaMKI peptides [2], indicating
that there is potential for improvement by including a negative design component
against the CaMKI target.
Our current studies are focused on designing a
CaM variant that can efficiently discriminate between the smMLCK peptide and
the CaMKI peptide by incorporating explicit negative design. Toward this goal,
we are using ORBIT to optimize 25 CaM positions in the peptide-binding interface.
Using an optimization algorithm written by graduate student Benjamin Allen, the
positions are simultaneously optimized on the CaM-smMLCK peptide structure (for
a favorable solution) and the CaM-CaMKI peptide structure (for an unfavorable
solution). We are currently investigating various negative design scoring functions
and parameters to obtain the most favorable results. Future experimental validation
of the computationally designed variants will include tryptophan fluorescence
titrations to determine the binding affinity of CaM to the peptides.
References
[1] Shifman, J.M. & Mayo, S.L. (2002) J Mol Biol 323:
416-423.
[2] Shifman, J.M. & Mayo, S.L(2003) Proc Natl Acad
Sci 100: 13274-13279.

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