Gilles H. Goetz

An increasing number of drug discovery programs concern compounds in the beyond rule of 5 (bRo5) chemical space, such as cyclic peptides, macrocycles, and degraders. Recent results show that common paradigms of property-based drug design need revision to be applied to larger and more flexible compounds. A virtual event entitled “Solubility, permeability and physico-chemical properties in the bRo5 chemical space” was organized to provide preliminary guidance on how to make the discovery of oral drugs in the bRo5 space more effective. The four speakers emphasized the importance of the bRo5 space as a source of new oral drugs and provided examples of experimental and computational methods specifically tailored for design and optimization in this chemical space.

The fast and accurate determination of molecular properties is highly desirable for many facets of chemical research, particularly in drug discovery where pre-clinical assays play an important role in paring down large sets of drug candidates. Here, we present the use of supervised machine learning to treat differential mobility spectrometry – mass spectrometry data for ten topological classes of drug candidates. We demonstrate that the gas-phase clustering behavior probed in our experiments can be used to predict the candidates’ condensed phase molecular properties, such as cell permeability, solubility, polar surface area, and water/octanol distribution coefficient. All of these measurements are performed in minutes and require mere nanograms of each drug examined. Moreover, by tuning gas temperature within the differential mobility spectrometer, one can fine tune the extent of ion-solvent clustering to separate subtly different molecular geometries and to discriminate molecules of very similar physicochemical properties.

Applications of chromatography derived lipophilicity, polarity, and 3D concepts such as conformational states, exposed polarity and intramolecular hydrogen bonds (IMHB), are discussed along with recently developed methods for incorporating these concepts into drug design strategies. In addition, the drug design process is described with examples and practices used at Pfizer, as well as experimental and computed parameters used for parallel optimization of properties leading to drug candidate nominations.

The chemokine receptor CXCR7 is an attractive target for a variety of diseases. While several small molecule modulators of CXCR7 have been reported, peptidic macrocycles may provide advantages in terms of potency, selectivity, and reduced off-target activity. We produced a series of peptidic macrocycles that incorporate an N-linked peptoid functionality where the peptoid group enabled us to explore side chain diversity well beyond that of natural amino acids. At the same time, computational calculations and experimental assays were used to track and reduce polarity while closely monitoring physicochemical properties. This strategy led to the discovery of macrocyclic peptide-peptoid hybrids with high CXCR7 binding affinities (Ki < 100 nM) and measurable passive permeability (Papp > 5 x 10-6 cm/sec). Moreover, bioactive peptide 25 (Ki = 9 nM) achieved oral bioavailability of 18% in rats, which was commensurate with the observed plasma clearance values upon intravenous administration.

EPSA is an experimental descriptor of molecular polarity obtained from chromatographic retention in supercritical fluid chromatography (SFC) systems, previously shown by Goetz et al. to correlate with passive permeability of cyclic peptides. The present study focuses on EPSA in relation to passive permeability of small molecules. We applied block relevance (BR) analysis to interpret the relative significance of mechanistic forces prevailing in EPSA. The BR analysis is a computational tool that allows the interpretation of the balance of intermolecular interactions governing systems such as the aforementioned chromatographic retention in EPSA. EPSA and passive permeability determined by Ralph Russ canine kidney cells (RRCK) or low efflux Madin Darby canine kidney cells (MDCK-LE) and human epithelial colorectal adenocarcinoma cells (Caco-2), studied on a data set of commercial drugs, indicated that EPSA is relevant in describing permeability of hydrophilic drugs (CLogP < 1). We then verified, on a data set of 1699 Rule of 5 compliant Pfizer compounds, that when CLogP < 1, a value of EPSA < 100 significantly increases the likelihood of high permeability.

Inducing α-helicity through side-chain cross-linking is a strategy that has been pursued to improve peptide conformational rigidity and bio-availability. Here we describe the preparation of small peptides tethered to chiral sulfoxide-containing macrocyclic rings. Furthermore, a study of structure-activity relationships (SARs) disclosed properties with respect to ring size, sulfur position, oxidation state, and stereochemistry that show a propensity to induce α-helicity. Supporting data include circular dichroism spectroscopy (CD), NMR spectroscopy, and a single crystal X-ray structure for one such stabilized peptide. Finally, theoretical studies are presented to elucidate the effect of chiral sulfoxides in inducing backbone α-helicity.

This study describes the design and implementation of a new chromatographic descriptor called log k′80 PLRP-S that provides information about the lipophilicity of drug molecules in the nonpolar environment, both in their neutral and ionized form. The log k′80 PLRP-S obtained on a polymeric column with acetonitrile/water mobile phase is shown to closely relate to log P_toluene (toluene dielectric constant ε ∼ 2). The main intermolecular interactions governing log k′80 PLRP-S were deconvoluted using the Block Relevance (BR) analysis. The information provided by this descriptor was compared to ElogD and calclog P_tol, and the differences are highlighted. The “charge-flush” concept is introduced to describe the sensitivity of log k′80 PLRP-S to the ionization state of compounds in the pH range 2 to 12. The ability of log k′80 PLRP-S to indicate the propensity of neutral molecules and monoanions to form Intramolecular Hydrogen Bonds (IMHBs) is proven through a number of examples.