Combinatorial tuning of peptidic drug candidates: high-affinity matriptase inhibitors through incremental structure-guided optimization
Combinatorial tuning of peptidic drug candidates: high-affinity matriptase inhibitors through incremental structure-guided optimization
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DOI:
10.1039/c3ob27469a
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发表时间:
2013-01-01
影响因子:
3.2
通讯作者:
Kolmar, Harald
中科院分区:
文献类型:
--
作者:
Fittler, Heiko;Avrutina, Olga;Kolmar, Harald
Herein we report a convenient strategy for the development of novel, highly-potent peptidic inhibitors of the trypsin-like serine protease matriptase based on the monocyclic variant of the sunflower trypsin inihibitor-1 (SFTI-1[1,14]). We screened SFTI-1[1,14] variants possessing incremental modifications of the parent peptide for beneficial binding properties. This compound library comprising 6 peptides and 16 triazole-containing peptidomimetics was established via structure-guided rational design and synthesized using a divergent strategy employing "copper-click" chemistry. The most favorable amino acid substitutions were combined in one framework yielding potent SFTI-1-derived matriptase inhibitor-1 (SDMI-1) and the truncated dodecapeptide variant (SDMI-2) with single-digit nanomolar inhibition constants. In silico studies indicated that the improved matriptase affinity compared to the parent peptide is caused by the successful establishment of additional favorable proton donor-acceptor interactions between basic inhibitor side chains and acidic residues on the surface of the target enzyme. SDMI-1 and 2 are potent inhibitors of the pharmaceutically relevant protease matriptase at a near physiological pH and, thus, may find applications in therapy or diagnostics.