Title of article :
Engineering of a synthetic receptor to alter peptide binding selectivity Original Research Article
Author/Authors :
Michael R. Carrasco، نويسنده , , W.Clark Still، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 1995
Pages :
8
From page :
205
To page :
212
Abstract :
Background: Molecular recognition processes are ubiquitous in nature: substrate binding by enzymes, antigen recognition by antibodies, and hormone activation of receptors provide three classic examples. To better understand these large systems it is valuable to study smaller, well defined host molecules. Previously we found sequence-selective peptide binding with a class of C3 symmetric synthetic receptors. In this work we rationally altered that host structure in order to produce a corresponding change in binding selectivity. Results: A novel C3 symmetric receptor was designed and synthesized such that, unlike previous host molecules, it contained hydrogen-bond accepting functionality within the binding cavity. Screening of this host against a combinatorial tripeptide library revealed an exquisite selectivity for sequences with d-Pro-d-Asn carboxyl termini. Computer simulations and NMR studies indicate that hydrogen bonding of the d-Asn side-chain amide to the amine functionality within the cavity is responsible for this selectivity. Conclusions: Computer-aided design and combinatorial library screening methods combine to provide a powerful approach to induce and evaluate the results of rational changes in the molecular recognition properties of molecules. Using this approach, we modified the binding properties of a class of molecules to select for hydrogen-bonding residues instead of hydrophobic residues and concomitantly increased the overall sequence selectivity. Structural studies indicate that these changes indeed result from the type of binding mode proposed as part of the initial design. This approach can increase our understanding of molecular recognition processes, and should allow the rational design of larger, more selective systems.
Keywords :
* molecular modeling , * combinatorial libraries , * molecular recognition
Journal title :
Chemistry and Biology
Serial Year :
1995
Journal title :
Chemistry and Biology
Record number :
1157663
Link To Document :
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