Recognized sequence and conformation in design of linear peptides as a competitive inhibitor for HMG-CoA reductase.

This study is an attempt to develop a simple search method for lead peptide candidates, which include constrained structures in a recognized sequence, using the design of a competitive inhibitor for HMG-CoA reductase (HMGR). A structure-functional analysis of previously synthesized peptides proposes that a competitive inhibitory peptide can be designed by maintaining bioactive conformation in a recognized sequence. A conformational aspect of the structure-based approach was applied to the peptide design. By analysis of the projections obtained through a principle component analysis (PCA) for short linear and cyclic peptides, a head-to-tail peptide cycle is considered as a model for its linear analogy. It is proposed that activities of the linear peptides based on an identical amino acid sequence, which are obtained from a less flexible peptide cycle, would be relatively higher than those obtained from more flexible cyclic peptides. The design criterion was formulated in terms of a 'V' parameter, reflecting a relative deviation of an individual peptide cycle from an average statistical peptide cycle based on all optimized structures of the cyclic peptides in set. Twelve peptide cycles were selected for the peptide library. Comparing the calculated 'V' parameters, two cyclic peptides (GLPTGG and GFPTGG) were selected as lead cycles from the library. Based on these sequences, six linear peptides obtained by breaking the cycle at different positions were selected as lead peptide candidates. The linear GFPTGG peptide, showing the highest inhibitory activity against HMGR, increases the inhibitory potency nearly tenfold. Kinetic analysis reveals that the GFPTGG peptide is a competitive inhibitor of HMG-CoA with an equilibrium constant of inhibitor binding (K(i)) of 6.4 +/- 0.3 microM. Conformational data support a conformation of the designed peptides close to the bioactive conformation of the previously synthesized active peptides.