Molecular modeling of the complex of endothelin-1 (ET-1) with the endothelin type A (ET(A)) receptor and the rational design of a peptide antagonist

Determination of the endothelin-1 recognition sites of endothelin receptor type A by the directed-degeneration method

G-protein coupled receptors (GPCRs) play indispensable physiological roles in cell proliferation, differentiation, and migration; therefore, identifying the mechanisms by which ligands bind to GPCRs is crucial for developing GPCR-targeting pharmaceutics and for understanding critical biological functions. Although some structural information is available regarding the interactions between GPCRs and their small molecule ligands, knowledge of how GPCRs interact with their corresponding macromolecule ligands, such as peptides and proteins, remains elusive. In this study, we have developed a novel strategy to investigate the precise ligand recognition mechanisms involved in the interaction of endothelin receptor type A (ET_A) with its ligand, endothelin-1 (ET-1); we call this method “directed degeneration” method. Through flow cytometric screening of a randomized ET_A library, statistical analysis of the identified sequences, and biochemical studies, the ligand interaction map was successfully obtained.

Structure-based design of a novel peptide inhibitor of HIV-1 integrase: a computer modeling approach

The insertion of viral DNA into the host chromosome is an essential step in the replication of HIV-1, and is carried out by an enzyme, HIV-1 integrase (IN). Since the latter has no human cellular counterpart, it is an attractive target for antiviral drug design. Several IN inhibitors having activities in the micromolar range have been reported to date. However, no clinically useful inhibitors have yet been developed. Recently reported diketo acids represent a novel and selective class of IN inhibitors. These are the only class which appear to selectively target integrase and two of the inhibitors, L-708,906 and L-731,988, are the most potent inhibitors of preintegration complexes described to date. The X-ray crystal structure of the IN catalytic domain complexed with a diketo acid derivative inhibitor, 5CITEP, has recently been determined. Although the structure is of great value as a platform for drug design, experimental data suggest that crystal packing effects influence the observed inhibitor position. This has been confirmed by computational docking studies using the latest version (3.0) of the AutoDock program, which has been shown to give results largely consistent with available experimental data. Using AutoDock 3.0 and SYBYL6.6 we have modeled the complexes of IN with the diketo acid inhibitors so as to identify the enzyme binding site. In the quest for novel, potent and selective small molecule inhibitors, we present here a new approach to peptide inhibitor design using a, b- unsaturated (dehydro) residues, which confer a unique conformation on a peptide sequence. Based on the above models, we selected a tetrapeptide sequence containing a dehydro-Phe residue, which was found to have an open conformation as ascertained from its X-ray crystal structure. Docking results on this peptide led us to propose a modification at the C-terminal end. The modified peptide was found to dock in a similar position as the diketo acid inhibitors and was predicted to have a comparable potency.