Caterina Bissantz

Conformational changes of G protein-coupled receptors during their activation by agonist binding.

Abstract The superfamily of G protein‐coupled receptors (GPCRs) is the largest and most diverse group of transmembrane proteins involved in signal transduction. Many of the over 1000 human GPCRs represent important pharmaceutical targets. However, despite high interest in this receptor family, no high‐resolution structure of a human GPCR has been resolved yet. This is mainly due to difficulties in obtaining large quantities of pure and active protein. Until now, only a high‐resolution x‐ray structure of an inactive state of bovine rhodopsin is available. Since no structure of an active state has been solved, information of the GPCR activation process can be gained only by biophysical techniques. In this review, we first describe what is known about the ground state of GPCRs to then address questions about the nature of the conformational changes taking place during receptor activation and the mechanism controlling the transition from the resting to the active state. Finally, we will also address the question to what extent information about the three‐dimensional GPCR structure can be included into pharmaceutical drug design programs.

Focused library design in GPCR projects on the example of 5-HT2c agonists: Comparison of structure-based virtual screening with ligand-based search methods

The aim of this study was to investigate the usefulness of structure‐based virtual screening (VS) for focused library design in G protein‐coupled receptors (GPCR) projects on the example of 5‐HT2c agonists. We compared the performance of structure‐based VS against two different homology models using FRED for docking and ScreenScore, FlexX, and PMF for rescoring with the results of 12 ligand‐based similarity searches using four different query compounds and three different similarity metrics (Daylight, FTree, Phacir). The result of the similarity search showed much variation, from an enrichment factor up to 3.2 to worse than random, whereas the structure‐based VS gave a more stable result with a constant enrichment factor around 2. Additionally, actives retrieved by the structure‐based approach were more diverse than the actives among the top scorers of the similarity searches. Based on these results, we suggest basing a focused library design for a GPCR project on a combination of a ligand‐based similarity search and structure‐based docking. Proteins 2005.

A Real-World Perspective on Molecular Design.

We present a series of small molecule drug discovery case studies where computational methods were prospectively employed to impact Roche research projects, with the aim of highlighting those methods that provide real added value. Our brief accounts encompass a broad range of methods and techniques applied to a variety of enzymes and receptors. Most of these are based on judicious application of knowledge about molecular conformations and interactions: filling of lipophilic pockets to gain affinity or selectivity, addition of polar substituents, scaffold hopping, transfer of SAR, conformation analysis, and molecular overlays. A case study of sequence-driven focused screening is presented to illustrate how appropriate preprocessing of information enables effective exploitation of prior knowledge. We conclude that qualitative statements enabling chemists to focus on promising regions of chemical space are often more impactful than quantitative prediction.

Mapping the binding pocket of dual antagonist almorexant to human orexin 1 and orexin 2 receptors: comparison with the selective OX1 antagonist SB-674042 and the selective OX2 antagonist N-ethyl-2-[(6-methoxy-pyridin-3-yl)-(toluene-2-sulfonyl)-amino]-N-pyridin-3-ylmethyl-acetamide (EMPA).

The orexins and their receptors are involved in the regulation of arousal and sleep–wake cycle. Clinical investigation with almorexant has indicated that this dual OX antagonist is efficacious in inducing and maintaining sleep. Using site-directed mutagenesis, β2-adrenergic-based OX1 and OX2 modeling, we have determined important molecular determinants of the ligand-binding pocket of OX1 and OX2. The conserved residues Asp45.51, Trp45.54, Tyr5.38, Phe5.42, Tyr5.47, Tyr6.48, and His7.39 were found to be contributing to both orexin-A-binding sites at OX1 and OX2. Among these critical residues, five (positions 45.51, 45.54, 5.38, 5.42, and 7.39) were located on the C-terminal strand of the second extracellular loop (ECL2b) and in the top of TM domains at the interface to the main binding crevice, thereby suggesting superficial OX receptor interactions of orexin-A. We found that the mutations W214A45.54, Y223A5.38, F227A5.42, Y317A6.48, and H350A7.39 resulted in the complete loss of both [3H]almorexant and [3H]N-ethyl-2-[(6-methoxy-pyridin-3-yl)-(toluene-2-sulfonyl)-amino]-N-pyridin-3-ylmethyl-acetamide (EMPA) binding affinities and also blocked their inhibition of orexin-A-evoked [Ca2+]i response at OX2. The crucial residues Gln1263.32, Ala1273.33, Trp20645.54, Tyr2155.38, Phe2195.42, and His3447.39 are shared between almorexant and 1-(5-(2-fluoro-phenyl)-2-methyl-thiazol-4-yl)-1-((S)-2-(5-phenyl-(1,3,4)oxadiazol-2-ylmethyl)-pyrrolidin-1-yl)-methanone (SB-674042) binding sites in OX1. The nonconserved residue at position 3.33 of orexin receptors was identified as occupying a critical position that must be involved in subtype selectivity and also in differentiating two different antagonists for the same receptor. In summary, despite high similarities in the ligand-binding pockets of OX1 and OX2 and numerous aromatic/hydrophobic interactions, the local conformation of helix positions 3.32, 3.33, and 3.36 in transmembrane domain 3 and 45.51 in ECL2b provide the structural basis for pharmacologic selectivity between OX1 and OX2.

Me-Talnetant and Osanetant Interact within Overlapping but Not Identical Binding Pockets in the Human Tachykinin Neurokinin 3 Receptor Transmembrane Domains

Recent clinical trials have indicated that neurokinin 3 receptor antagonists (S)-(+)-N-{{3-[1-benzoyl-3-(3,4-dichlorophenyl)-piperidin-3-yl]prop-1-yl}-4-phenylpiperidin-4-yl}-N-methylacetamine (SR142801; osanetant) and (S)-(-)-N-(α-ethylbenzyl)-3-hydroxy-2-phenylquinoline-4-carboxamide (SB223412; talnetant) may treat symptoms of schizophrenia. Using site-directed mutagenesis, rhodopsin-based modeling, [3H](S)-(-)-N-(α-ethylbenzyl)-3-methoxy-2-phenylquinoline-4-carboxamide (Me-talnetant) and [3H]osanetant binding, and functional Schild analyses, we have demonstrated the important molecular determinants of neurokinin B (NKB), Me-talnetant, and osanetant binding pockets. The residues Asn1382.57, Asn1422.61, Leu23245.49, Tyr3156.51, Phe3427.39, and Met3467.43 were found to be crucial for the NKB binding site. We observed that the M1342.53A, V1693.36M, F3427.39M, and S3417.38I/F3427.39M mutations resulted in the complete loss of [3H]Metalnetant and [3H]osanetant binding affinities and also abolished their functional potencies in an NKB-evoked accumulation of [3H]inositol phosphates assay, whereas the mutations V951.42A, N1422.61A, Y3156.51F, and M3467.43A behaved differently between the interacting modes of two antagonists. V951.42A and M3467.43A significantly decreased the affinity and potency of Me-talnetant. Y3156.51F, although not affecting Me-talnetant, led to a significant decrease in affinity and potency of osanetant. The mutation N1422.61A, which abolished the potency and affinity of osanetant, led to a significant increase in the affinity and potency of Me-talnetant. The proposed docking mode was further validated using (S)-2-(3,5-bis-trifluoromethyl-phenyl)-N-[4-(4-fluoro-2-methyl-phenyl)-6-((S)-4-methanesulfonyl-3-methyl-piperazin-1-yl)-pyridin-3-yl]-N-methyl-isobutyramide (RO49085940), from another chemical class. It is noteworthy that the mutation F3427.39A caused an 80-fold gain of RO4908594 binding affinity, but the same mutation resulted in the complete loss of the affinity of Me-talnetant and partial loss of the affinity of osanetant. These observations show that the binding pocket of Me-talnetant and osanetant are overlapping, but not identical. Taken together, our data are consistent with the proposed docking modes where Me-talnetant reaches deeply into the pocket formed by transmembrane (TM)1, -2, and -7, whereas osanetant fills the pocket TM3, -5, and -6 with its phenyl-piperidine moiety.

2‐Phenoxy‐nicotinamides are Potent Agonists at the Bile Acid Receptor GPBAR1 (TGR5)

Potency with potential: 2-Phenoxy-nicotinamides were identified as potent agonists at the GPBAR1 receptor, a target in the treatment of obesity, type 2 diabetes and metabolic syndrome. Extensive structure-activity relationship studies supported by homology modeling and docking resulted in the identification of optimized GPBAR1 agonists, potent against both human and mouse receptors, endowed with favorable physicochemical properties and good metabolic stability.

Identification of a critical residue in the transmembrane domain 2 of tachykinin neurokinin 3 receptor affecting the dissociation kinetics and antagonism mode of osanetant (SR 142801) and piperidine-based structures.

In this study, we show that compound 3 (osanetant) binds with a pseudoirreversible, apparent noncompetitive mode of antagonism at the guinea pig NK(3), while it behaves competitively at the human NK(3). This difference is caused by a slower dissociation rate of compound 3 at the guinea pig NK(3) compared to human NK(3). The only amino acid difference between the human and guinea pig NK(3) in the binding site (Thr139(2.58) in human, corresponding to Ala114(2.58) in guinea pig) has been shown to be responsible for the different behavior. Compound 1 (talnetant), however, behaves competitively at both receptors. Using these data, 3D homology modeling, and site-directed mutagenesis, a model has been developed to predict the mode of antagonism of NK(3) antagonists based on their binding mode. This model was successfully used to predict the mode of antagonism of compounds of another chemical series including piperidine-based structures at human and guinea pig NK(3).

5-HT 2C Receptor Agonists for the Treatment of Obesity. Biological and Chemical Adventures

Obesity is a major risk factor in the development of conditions such as hypertension, hyperglycemia, dyslipidemia, coronary artery disease and cancer. There is increasing evidence suggesting an important role for the 5-HT 2 C receptor in appetite control. Collaboration between F. Hoffmann-La Roche Ltd and Vernalis Research Ltd has allowed rapid construction of a solid structure-activity relationship around a pyrroloindole core. A one-pot Sonogashira reaction followed by nucleophilic double cyclisation allows an elegant and expedient route to this central motif. Introduction of a (2S)-aminopropyl group in place of the aminoethyl endogenous ligand side-chain enhanced the affinity at the 5-HT 2 C receptor and reduced affinity towards monoamine oxidase enzymes (MAO). Sulfamidate reagents were found to be very effective for the introduction of the 2-aminopropyl moiety in a stereoselective manner. The substitution at position 5 (indole numbering) was found to be crucial for both affinity and selectivity. Pyrroloindoles bearing an alkoxyether in this position exhibit promising pharmacokinetic parameters in rodent and significant reduction of food intake, after per os application.

Discovery of highly selective brain-penetrant vasopressin 1a antagonists for the potential treatment of autism via a chemogenomic and scaffold hopping approach.

From a micromolar high throughput screening hit 7, the successful complementary application of a chemogenomic approach and of a scaffold hopping exercise rapidly led to a low single digit nanomolar human vasopressin 1a (hV1a) receptor antagonist 38. Initial optimization of the mouse V1a activities delivered suitable tool compounds which demonstrated a V1a mediated central in vivo effect. This novel series was further optimized through parallel synthesis with a focus on balancing lipophilicity to achieve robust aqueous solubility while avoiding P-gp mediated efflux. These efforts led to the discovery of the highly potent and selective brain-penetrant hV1a antagonist RO5028442 (8) suitable for human clinical studies in people with autism.

Identification of a Crucial Amino Acid in the Helix Position 6.51 of Human Tachykinin Neurokinin 1 and 3 Receptors Contributing to the Insurmountable Mode of Antagonism by Dual NK1/NK3 Antagonists

The neurokinins are neuropeptides that elicit their effect through three GPCRs called NK(1), NK(2), and NK(3). Compounds 5 and 6 are dual hNK(1) (K(i) of 0.7 and 0.3 nM) and hNK(3) (K(i) of 2.9 and 1.7 nM) antagonists. Both compounds exhibit an insurmountable mode of antagonism at hNK(1), whereas at hNK(3), they differ in that 5 is an insurmountable but 6 a surmountable antagonist. Using homology modeling and site-directed mutagenesis, hNK(1)-Phe264 and hNK(3)-Tyr315 were found to be the molecular determinants of hNK(1) and hNK(3) antagonism by 5 and 6. In [(3)H]IP studies, the mutation hNK(1)-F264Y converted the mode of action of 5 from insurmountable to partial insurmountable antagonism while it had no effect on that of 6. Conversely, the mutation hNK(3)-Y315F enhanced the insurmountable behavior of 5 and converted 6s surmountable to an insurmountable antagonism. This finding was further confirmed by characterizing additional derivatives of 5 and 6, most notably with a hybrid structure.