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Page 593<br />

versus antagonist ligands, and such work provides insight to pharmacophore modeling. Specific<br />

examples of such work as focused on peptide, peptidomimetic, and/or nonpeptide ligands, and working<br />

3D structural models of their GPCR targets include angiotensin II AT 1 and AT 2 subtypes [134],<br />

neurokinin NK 1 and NK 2 subtypes [135], cholecystokinin/gastrin CCK A and CCK B subtypes [136],<br />

opioid μ-, δ-, and κ-subtypes [137], vasopressin V 1A subtype [138], bradykinin B 2 subtype [139],<br />

neurotensin [140] and α-melanotropin MC 1 subtype [141]. From such work it has been inferred that<br />

different binding-site interactions may exist for peptide versus nonpeptide ligands as <strong>based</strong> on their<br />

differential sensitivities to site-directed mutants of the native GPCR. The recent development of 3D<br />

structural models of the neurotensin [140] and α-melanotropin MC 1 subtype [141] GPCRs provide<br />

interesting case studies. Both examples provide the correlation of significant structure-activity databases<br />

and experimentally determined (NMR) structures of key peptide analogs with predicted molecular<br />

contacts at their respective target receptors. As illustrated in Figure 21, the proposed peptide agonist<br />

binding interactions for neurotensin and α-melanotropin analogs at their human GPCR targets may be<br />

used to further guide the molecular design and synthesis of “second-generation” peptidomimetic<br />

derivatives.<br />

In the first example, the neurotensin C-terminal octapeptide was subject to conformational searching<br />

(~Arg-Pro-Tyr~ sequences from the Brookhaven Protein Databank), manual docking to the homologybuilt<br />

neurotensin GPCR receptor model, and constrained molecular dynamics simulation to provide a 3D<br />

structure of the ligand-receptor complex [140]. A compact structure of the peptide in its complexed<br />

conformation was consistent with a Type-1 β-turn as previously determined <strong>by</strong> structural and structureactivity<br />

studies. Key molecular contacts predicted from this neurotensin GPCR model include<br />

hydrophobic interactions with the C-terminal Ile and Leu side chains, π-cation interactions with each<br />

Arg residue side chain, and a “cluster” of aromatic-aromatic interactions with the Tyr side chain. No<br />

electrostatic interactions were predicted, and the primary contact residues on the neurotensin GPCR<br />

model were those comprising the third extracellular loop.<br />

In the second example, the α-melanotropin (MC1) GPCR model was constructed [141] <strong>by</strong> homologybuilding<br />

methods relative to both bacteriorhodopsin and rhodopsin fingerprint maps, and the MSH<br />

superagonist peptides [Nle 4, D-Phe 7]-MSH and Ac-cyclo[Nle 4, Asp 5, D-Phe 7, Lys 10]-MSH 4–10-NH 2 were<br />

modeled in conformations derived from previous experimental studies (i.e., a Type-II β-turn at the<br />

common tetrapeptide sequence ~His-D-Phe-Arg-Trp~). Of the alternative binding modes that were<br />

described for the above the two MSH peptide ligands, one predicts the possibility of a network of<br />

aromatic-aromatic and hydrophobic interactions between the MC1 receptor and the D-Phe and Trp side<br />

chains of the MSH ligand (Figure 21). In addition, this MC1 receptor model predicts multiple<br />

electrostatic and π-cation interactions between<br />

http://legacy.netlibrary.com/nlreader/nlReader.dll?bookid=12640&filename=Page_593.html [4/9/2004 1:19:20 AM]

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