2b2x: Difference between revisions

New page: left|200px<br /> <applet load="2b2x" size="450" color="white" frame="true" align="right" spinBox="true" caption="2b2x, resolution 2.200Å" /> '''VLA1 RdeltaH I-dom...
 
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[[Image:2b2x.gif|left|200px]]<br />
[[Image:2b2x.gif|left|200px]]<br /><applet load="2b2x" size="350" color="white" frame="true" align="right" spinBox="true"  
<applet load="2b2x" size="450" color="white" frame="true" align="right" spinBox="true"  
caption="2b2x, resolution 2.200&Aring;" />
caption="2b2x, resolution 2.200&Aring;" />
'''VLA1 RdeltaH I-domain complexed with a quadruple mutant of the AQC2 Fab'''<br />
'''VLA1 RdeltaH I-domain complexed with a quadruple mutant of the AQC2 Fab'''<br />


==Overview==
==Overview==
Improving the affinity of a high-affinity protein-protein interaction is a, challenging problem that has practical applications in the development of, therapeutic biomolecules. We used a combination of structure-based, computational methods to optimize the binding affinity of an antibody, fragment to the I-domain of the integrin VLA1. Despite the already high, affinity of the antibody (Kd approximately 7 nM) and the moderate, resolution (2.8 A) of the starting crystal structure, the affinity was, increased by an order of magnitude primarily through a decrease in the, dissociation rate. We determined the crystal structure of a high-affinity, quadruple mutant complex at 2.2 A. The structure shows that the design, makes the predicted contacts. Structural evidence and mutagenesis, experiments that probe a hydrogen bond network illustrate the importance, of satisfying hydrogen bonding requirements while seeking higher-affinity, mutations. The large and diverse set of interface mutations allowed, refinement of the mutant binding affinity prediction protocol and, improvement of the single-mutant success rate. Our results indicate that, structure-based computational design can be successfully applied to, further improve the binding of high-affinity antibodies.
Improving the affinity of a high-affinity protein-protein interaction is a challenging problem that has practical applications in the development of therapeutic biomolecules. We used a combination of structure-based computational methods to optimize the binding affinity of an antibody fragment to the I-domain of the integrin VLA1. Despite the already high affinity of the antibody (Kd approximately 7 nM) and the moderate resolution (2.8 A) of the starting crystal structure, the affinity was increased by an order of magnitude primarily through a decrease in the dissociation rate. We determined the crystal structure of a high-affinity quadruple mutant complex at 2.2 A. The structure shows that the design makes the predicted contacts. Structural evidence and mutagenesis experiments that probe a hydrogen bond network illustrate the importance of satisfying hydrogen bonding requirements while seeking higher-affinity mutations. The large and diverse set of interface mutations allowed refinement of the mutant binding affinity prediction protocol and improvement of the single-mutant success rate. Our results indicate that structure-based computational design can be successfully applied to further improve the binding of high-affinity antibodies.


==About this Structure==
==About this Structure==
2B2X is a [http://en.wikipedia.org/wiki/Single_protein Single protein] structure of sequence from [http://en.wikipedia.org/wiki/Mus_musculus Mus musculus] and [http://en.wikipedia.org/wiki/Rattus_norvegicus Rattus norvegicus] with MG as [http://en.wikipedia.org/wiki/ligand ligand]. Full crystallographic information is available from [http://ispc.weizmann.ac.il/oca-bin/ocashort?id=2B2X OCA].  
2B2X is a [http://en.wikipedia.org/wiki/Single_protein Single protein] structure of sequence from [http://en.wikipedia.org/wiki/Mus_musculus Mus musculus] and [http://en.wikipedia.org/wiki/Rattus_norvegicus Rattus norvegicus] with <scene name='pdbligand=MG:'>MG</scene> as [http://en.wikipedia.org/wiki/ligand ligand]. Full crystallographic information is available from [http://oca.weizmann.ac.il/oca-bin/ocashort?id=2B2X OCA].  


==Reference==
==Reference==
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[[Category: Rattus norvegicus]]
[[Category: Rattus norvegicus]]
[[Category: Single protein]]
[[Category: Single protein]]
[[Category: Boriack-Sjodin, P.A.]]
[[Category: Boriack-Sjodin, P A.]]
[[Category: Clark, L.A.]]
[[Category: Clark, L A.]]
[[Category: Eldredge, J.]]
[[Category: Eldredge, J.]]
[[Category: Fitch, C.]]
[[Category: Fitch, C.]]
[[Category: Friedman, B.]]
[[Category: Friedman, B.]]
[[Category: Hanf, K.J.]]
[[Category: Hanf, K J.]]
[[Category: Jarpe, M.]]
[[Category: Jarpe, M.]]
[[Category: Li, Y.]]
[[Category: Li, Y.]]
[[Category: Liparoto, S.F.]]
[[Category: Liparoto, S F.]]
[[Category: Lugovskoy, A.]]
[[Category: Lugovskoy, A.]]
[[Category: MG]]
[[Category: MG]]
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[[Category: computational design]]
[[Category: computational design]]


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