Targeting protein-protein interactions for drug discovery.

Protein-protein interactions are associated with key activities and pathways in the cell, and in that regard are promising targets for drug discovery. However, in terms of small molecule drugs, this promise has not been realized. The physical nature of many protein-protein interaction surfaces renders them unable to support binding of small drug-like molecules. In addition, there are other unique hurdles presented by this class that make the drug development process difficult and risky. Nevertheless, success stories have begun to steadily appear in this field. These experiences are starting to provide general strategies and tools to help overcome the problems inherent in pursuing protein-protein interaction targets. These lessons should improve the rate of success as these systems are pursued in the future.

Structure-Based Design and Synthesis of Potent Cyclic Peptides Inhibiting the YAP-TEAD Protein-Protein Interaction.

The YAP-TEAD protein-protein interaction (PPI) mediates the oncogenic function of YAP, and inhibitors of this PPI have potential usage in treatment of YAP-involved cancers. Here we report the design and synthesis of potent cyclic peptide inhibitors of the YAP-TEAD interaction. A truncation study of YAP interface 3 peptide identified YAP(84-100) as a weak peptide inhibitor (IC50 = 37 µM), and an alanine scan revealed a beneficial mutation, D94A. Subsequent replacement of a native cation-π interaction with an optimized disulfide bridge for conformational constraint and synergistic effect between macrocyclization and modification at positions 91 and 93 greatly boosted inhibitory activity. Peptide 17 was identified with an IC50 of 25 nM, and the binding affinity (K d = 15 nM) of this 17mer peptide to TEAD1 proved to be stronger than YAP(50-171) (K d = 40 nM).

Deconstruction of a nutlin: dissecting the binding determinants of a potent protein-protein interaction inhibitor.

Protein-protein interaction (PPI) systems represent a rich potential source of targets for drug discovery, but historically have proven to be difficult, particularly in the lead identification stage. Application of the fragment-based approach may help toward success with this target class. To provide an example toward understanding the potential issues associated with such an application, we have deconstructed one of the best established protein-protein inhibitors, the Nutlin series that inhibits the interaction between MDM2 and p53, into fragments, and surveyed the resulting binding properties using heteronuclear single quantum coherence nuclear magnetic resonance (HSQC NMR), surface plasmon resonance (SPR), and X-ray crystallography. We report the relative contributions toward binding affinity for each of the key substituents of the Nutlin molecule and show that this series could hypothetically have been discovered via a fragment approach. We find that the smallest fragment of Nutlin that retains binding accesses two subpockets of MDM2 and has a molecular weight at the high end of the range that normally defines fragments.

Small-molecule inhibitors of protein-protein interactions: how to mimic a protein partner.

This systematic review describes successful examples of small-molecule inhibitors of protein-protein interactions, and compares their binding strategies to those employed by the natural protein partners. It extends and updates an earlier survey of this type (Fry DC, Curr Prot Pep Sci 2008; 9: 240-7). From analysis of these systems, common themes and lessons are presented that may assist future drug discovery efforts involving targets in this class. One encouraging finding is that a wide scope appears to be allowed at these sites in terms of binding strategies and chemotypes, which suggests that the outlook for finding small-molecule protein-protein inhibitors is favorable.

Druggability assessment of protein-protein interfaces.

Recent success stories concerning the targeting of protein-protein interactions (PPIs) have led to an increased focus on this challenging target class for drug discovery. This article explores various avenues to assess the druggability of PPIs and describes a druggability decision flow chart, which can be applied to any PPI target. This flow chart not only covers small molecules but also peptidomimetics, peptides and conformationally restricted peptides as potential modalities for targeting PPIs. Additionally, a retrospective analysis of PPI druggability using various computational tools is summarized. The application of a systematic approach as presented in this paper will increase confidence that modulators (e.g., small organic molecules or peptides) can ultimately be identified for a particular target before a decision is made to commit significant discovery resources.

Protein-protein interactions as targets for small molecule drug discovery.

Protein-protein interactions represent a highly populated class of targets for drug discovery. However, such systems present a number of unique challenges. This review presents an analysis of individual protein-protein interaction systems which have recently yielded success in discovering drug-like inhibitors. The structural characteristics of the protein binding sites and the attributes of the small molecule ligands are focused upon, in an attempt to derive commonly shared principles that may be of general usefulness in future drug discovery efforts within this target class.

Development of E3-substrate (MDM2-p53)-binding inhibitors: structural aspects.

Inhibition of E3 ligase-substrate binding is the most direct approach for blocking protein ubiquitylation and degradation. However, protein-protein interactions have proven to be difficult targets for discovery of small molecules that bind at the interface and modulate protein activity in a selective manner. Recently, we developed the first potent and selective small-molecule inhibitors of the binding between MDM2 E3 ligase and its substrate p53 (Vassilev et al., 2004). This process was aided significantly by the acquisition and use of structural information. We describe herein how such information was obtained and used at various stages in the program. These applications included assessment of MDM2 as a target, evaluation of hits from high-throughput screening and the selection of lead molecules, and analysis of binding strategies used by the inhibitors as a basis for guiding studies of similar systems. These tools are likely to be useful in any attempt to find and develop druglike compounds that modulate the function of a protein-protein interaction.

Targeting protein-protein interactions for cancer therapy.

An increasing number of protein-protein interactions have been identified as potential intervention points for the development of anticancer agents. However, such systems have historically been considered high-risk targets due to the relatively large interaction surfaces involved in protein-protein binding. This characterization has to be reexamined as progress has been made recently in identifying small-molecule inhibitors of several protein-protein systems in oncology including the p53-MDM2 interaction. This review presents a survey of protein-protein interactions that have been identified as potential oncology targets and evaluates their attractiveness in terms of drug discovery. The analysis focuses primarily on the structural characteristics of the participating binding sites, particularly the dimensions of the sites. Known ligands are also examined, especially with regard to their druglikeness.

NMR structure of a complex between MDM2 and a small molecule inhibitor.

MDM2 is a regulator of cell growth processes that acts by binding to the tumor suppressor protein p53 and ultimately restraining its activity. While inactivation of p53 by mutation is commonly observed in human cancers, a substantial percentage of tumors express wild type p53. In many of these cases, MDM2 is overexpressed, and it is believed that suppression of MDM2 activity could yield therapeutic benefits. Therefore, we have been focusing on the p53-MDM2 interaction as the basis of a drug discovery program and have been able to develop a series of small molecule inhibitors. We herein report a high resolution NMR structure of a complex between the p53-binding domain of MDM2 and one of these inhibitors. The form of MDM2 utilized was an engineered hybrid between the human and Xenopus sequences, which provided a favorable combination of relevancy and stability. The inhibitor is found to bind in the same site as does a highly potent peptide fragment of p53. The inhibitor is able to successfully mimic the peptide by duplicating interactions in three subpockets normally made by amino acid sidechains, and by utilizing a scaffold that presents substituents with rigidity and spatial orientation comparable to that provided by the alpha helical backbone of the peptide. The structure also suggests opportunities for modifying the inhibitor to increase its potency.

A predictive pharmacophore model of human melanocortin-4 receptor as derived from the solution structures of cyclic peptides.

Using nuclear magnetic resonance (NMR) spectroscopy, we have determined the solution structures for a series of potent agonists for the human melanocortin-4 receptor (hMC4R), based on the cyclic peptide MT-II [Ac-Nle-cyclo-(Asp-Lys) (Asp-His-(D)Phe-Arg-Trp-Lys)-NH2]. Members of this series were designed to improve selectivity for MC4R versus the other melanocortin receptors, and to reduce the flexibility of the side chains. The most selective and rigid analog [penta-cyclo(D-K)-Asp-Apc-(D)Phe-Arg-(2S,3S)-beta-methylTrp-Lys-NH2] was found to be a full agonist of hMC4R with an EC50 of 11nM against hMC4R, and to exhibit 65-fold selectivity against hMC1R. This compound represents the most constrained hMC4R peptide agonist described to date. A beta-turn structure was conserved among all of the cyclic peptides studied. The rigidity of the analogs allowed an exceptionally well-defined pharmacophore model to be derived. This model was used to perform a virtual screen using a library of 1000 drug-like compounds, to which a small set of known potent ligands had been intentionally added. The utility of the model was validated by its ability to identify the known ligands from among this large library.

NMR characterization of interleukin-2 in complexes with the IL-2Ralpha receptor component, and with low molecular weight compounds that inhibit the IL-2/IL-Ralpha interaction.

Nuclear magnetic resonance (NMR) methods were employed to study the interaction of the cytokine Interleukin-2 (IL-2) with the alpha-subunit of its receptor (IL-2Ralpha), and to help understand the behavior of small molecule inhibitors of this interaction. Heteronuclear (1)H-(15)N HSQC experiments were used to identify the interaction surface of (15)N-enriched Interleukin-2 ((15)N-IL-2) in complex with human IL-2Ralpha. In these experiments, chemical shift and line width changes in the heteronuclear single-quantum coherence (HSQC) spectra upon binding of (15)N-IL-2 enabled classification of NH atoms as either near to, or far from, the IL-2Ralpha interaction surface. These data were complemented by hydrogen/deuterium (H/D) exchange measurements, which illustrated enhanced protection of slowly-exchanging IL-2 NH protons near the site of interaction with IL-2Ralpha. The interaction surface defined by NMR compared well with the IL-2Ralpha binding site identified previously using mutagenesis of human and murine IL-2. Two low molecular weight inhibitors of the IL-2/IL-2Ralpha interaction were studied: one (a cyclic peptide derivative) was found to mimic a part of the cytokine and bind to IL-2Ralpha; the other (an acylphenylalanine derivative) was found to bind to IL-2. For the interaction between IL-2 and the acylphenylalanine, chemical shift perturbations of (15)N and (15)NH backbone resonances were tracked as a function of ligand concentration. The perturbation pattern observed for this complex revealed that the acylphenylalanine is a competitive inhibitor-it binds to the same site on IL-2 that interacts with IL-2Ralpha.