Computer-assisted Mutagenesis of Ecotin to Engineer Its Secondary Binding Site for Urokinase Inhibition
| Autor: | Stephen Todd, Irwin D. Kuntz, Robert J. Fletterick, Charles S. Craik, Rilva G. Pinho, Martha C.A. Laboissière, Malin M. Young |
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| Rok vydání: | 2002 |
| Předmět: |
Models
Molecular Biology Biochemistry Bacterial Proteins Peptide Library Escherichia coli Consensus sequence medicine Binding site Molecular Biology chemistry.chemical_classification Binding Sites Escherichia coli Proteins Mutagenesis Wild type Cell Biology Urokinase-Type Plasminogen Activator Protease inhibitor (biology) Amino acid Kinetics Amino Acid Substitution chemistry Ecotin Periplasmic Proteins Genetic Engineering Plasminogen activator Protein Binding medicine.drug |
| Zdroj: | Journal of Biological Chemistry. 277:26623-26631 |
| ISSN: | 0021-9258 |
| Popis: | Inhibitors of urokinase-type plasminogen activator (uPA) were selected in vitro from two ecotin phage-display libraries to study the effect on binding of amino acid substitutions at critical positions 108, 110, 112, and 113 within the 100s loop (RNKL, respectively, in wild type ecotin). The first, a focused library, was the result of a computation-assisted approach using the three-dimensional structure of the ecotin-trypsin complex to guide the modeling of amino acid substitutions predicted to increase affinity for uPA. The second, a complete library, allowed for all substitutions at the above identified positions. The consensus sequences selected from the focused, and complete libraries were RRWS and R(R/N)QL, respectively. Inhibition constant determinations showed ecotin variants containing these sequences to be similarly potent (K i = 1–2 nm). These substitutions were combined with previously identified substitutions in another critical region of ecotin. One of these combinations (D70R/M84R/RRQL) is the tightest (K i = 50 pm) ecotin variant inhibitor of uPA. The blending of combinatorial methods and computer algorithms designed to predict stronger binders has allowed us to obtain protein derivatives that exhibit greatly increased affinity for a predetermined target. This technology can be applied to select for enhanced binding interactions at protein-protein interfaces and accelerate the process of protease inhibitor development. |
| Databáze: | OpenAIRE |
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