Structure-based and property-compliant library design of 11ß-HSD1 adamantyl amide inhibitors.

Multiproperty lead optimization that satisfies multiple biological endpoints remains a challenge in the pursuit of viable drug candidates. Optimization of a given lead compound to one having a desired set of molecular attributes often involves a lengthy iterative process that utilizes existing information, tests hypotheses, and incorporates new data. Within the context of a data-rich corporate setting, computational tools and predictive models have provided the chemists a means for facilitating and streamlining this iterative design process. This chapter discloses an actual library design scenario for following up a lead compound that inhibits 11ß-hydroxysteroid dehydrogenase type 1 (11ß-HSD1) enzyme. The application of computational tools and predictive models in the targeted library design of adamantyl amide 11ß-HSD1 inhibitors is described. Specifically, the multiproperty profiling using our proprietary PGVL (Pfizer Global Virtual Library) Hub is discussed in conjunction with the structure-based component of the library design using our in-house docking tool AGDOCK. The docking simulations were based on a piecewise linear potential energy function in combination with an efficient evolutionary programming search engine. The library production protocols and results are also presented.

The development and SAR of pyrrolidine carboxamide 11beta-HSD1 inhibitors.

The design and development of a series of highly selective pyrrolidine carboxamide 11beta-HSD1 inhibitors are described. These compounds including PF-877423 demonstrated potent in vitro activity against both human and mouse 11beta-HSD1 enzymes. In an in vivo assay, PF-877423 inhibited the conversion of cortisone to cortisol. Structure guided optimization effort yielded potent and stable 11beta-HSD1 selective inhibitor 42.

Structure of HIV-1 reverse transcriptase with the inhibitor beta-Thujaplicinol bound at the RNase H active site.

Novel inhibitors are needed to counteract the rapid emergence of drug-resistant HIV variants. HIV-1 reverse transcriptase (RT) has both DNA polymerase and RNase H (RNH) enzymatic activities, but approved drugs that inhibit RT target the polymerase. Inhibitors that act against new targets, such as RNH, should be effective against all of the current drug-resistant variants. Here, we present 2.80 A and 2.04 A resolution crystal structures of an RNH inhibitor, beta-thujaplicinol, bound at the RNH active site of both HIV-1 RT and an isolated RNH domain. beta-thujaplicinol chelates two divalent metal ions at the RNH active site. We provide biochemical evidence that beta-thujaplicinol is a slow-binding RNH inhibitor with noncompetitive kinetics and suggest that it forms a tropylium ion that interacts favorably with RT and the RNA:DNA substrate.

Structural and biophysical characterization of XIAP BIR3 G306E mutant: insights in protein dynamics and application for fragment-based drug design.

Previous reports describe modulators of X-linked inhibitor of apoptosis (XIAP)-caspase interaction designed from the AVPI N-terminal peptide sequence of second mitochondria-derived activator of caspase. A fragment-based drug design strategy was initiated to identify therapeutic non-peptidomimetic antagonists of X-linked inhibitor of apoptosis protein-protein interactions. Fragments that bind to the AVPI binding site of BIR3 (bacculoviral inhibitory repeat) were identified, and to further localize the fragment binding within the AVPI binding site, a point mutation was designed which alters the dynamics of flexible loops and blocks PI region of the binding cleft, thus enabling definition of weakly bound small molecules in the AV portion of the binding cleft. Nuclear magnetic resonance analysis confirmed the G306E mutation stabilizes the AV pocket. Biophysical characterization of the mutant confirms conformation change within the PI sub-pocket as evidenced by a significant diminishment in binding affinity of AVPI mimetics, yet the binding affinity of the smaller AV mimetics is maintained or slightly improved in the mutant compared with wild-type. Additional data from non-covalent mass spectrometry analysis shows enhanced binding of AV mimetics to the G306E mutant over the wild-type. The presented data outline a protein engineering strategy that allowed mapping of AV-replacements with better sensitivity and precision.