Discovery Of Protein-protein Interaction Inhibitors Research Articles

Methods for the Discovery and Identification of Small Molecules Targeting Oxidative Stress-Related Protein-Protein Interactions: An Update.

The oxidative stress response pathway is one of the hotspots of current pharmaceutical research. Many proteins involved in these pathways work through protein–protein interactions (PPIs). Hence, targeting PPI to develop drugs for an oxidative stress response is a promising strategy. In recent years, small molecules targeting protein–protein interactions (PPIs), which provide efficient methods for drug discovery, are being investigated by an increasing number of studies. However, unlike the enzyme–ligand binding mode, PPIs usually exhibit large and dynamic binding interfaces, which raise additional challenges for the discovery and optimization of small molecules and for the biochemical techniques used to screen compounds and study structure–activity relationships (SARs). Currently, multiple types of PPIs have been clustered into different classes, which make it difficult to design stationary methods for small molecules. Deficient experimental methods are plaguing medicinal chemists and are becoming a major challenge in the discovery of PPI inhibitors. In this review, we present current methods that are specifically used in the discovery and identification of small molecules that target oxidative stress-related PPIs, including proximity-based, affinity-based, competition-based, structure-guided, and function-based methods. Our aim is to introduce feasible methods and their characteristics that are implemented in the discovery of small molecules for different types of PPIs. For each of these methods, we highlight successful examples of PPI inhibitors associated with oxidative stress to illustrate the strategies and provide insights for further design.

Discovery of Protein-Protein Interaction Inhibitors by Integrating Protein Engineering and Chemical Screening Platforms

Protein-protein interactions (PPIs) govern intracellular life, and identification of PPI inhibitors is challenging. Roadblocks in assay development stemming from weak binding affinities of natural PPIs impede progress in this field. We postulated that enhancing binding affinity of natural PPIs via protein engineering will aid assay development and hit discovery. This proof-of-principle study targets PPI between linear ubiquitin chains and NEMO UBAN domain, which activates NF-κB signaling. Using phage display, we generated ubiquitin variants that bind to the functional UBAN epitope with high affinity, act as competitive inhibitors, and structurally maintain the existing PPI interface. When utilized in assay development, variants enable generation of robust cell-based assays for chemical screening. Top compounds identified using this approach directly bind to UBAN and dampen NF-κB signaling. This study illustrates advantages of integrating protein engineering and chemical screening in hit identification, a development that we anticipate will have wide application in drug discovery.

Mimicking Strategy for Protein-Protein Interaction Inhibitor Discovery by Virtual Screening.

As protein–protein interactions (PPIs) are highly involved in most cellular processes, the discovery of PPI inhibitors that mimic the structure of the natural protein partners is a promising strategy toward the discovery of PPI inhibitors. In this review, we discuss recent advances in the application of virtual screening for identifying mimics of protein partners. The classification and function of the mimicking protein partner inhibitor discovery by virtual screening are described. We anticipate that this review would be of interest to medicinal chemists and chemical biologists working in the field of protein–protein interaction inhibitors or probes.

A simple fluorescent assay for the discovery of protein-protein interaction inhibitors

Due to the therapeutic potential of targeting protein-protein interactions (PPIs) there is a need for easily executed assays to perform high throughput screening (HTS) of inhibitors. We have developed and optimized an innovative and robust fluorescence-based assay for detecting PPI inhibitors, called FluorIA (Fluorescence-based protein-protein Interaction Assay). Targeting the PPI of RAD52 with replication protein A (RPA) was used as an example, and the FluorIA protocol design, optimization and successful application to HTS of large chemical libraries are described. Here enhanced green fluorescent protein (EGFP)-tagged RAD52 detected the PPI using full-length RPA heterotrimer coated, black microtiter plates and loss in fluorescence intensity identified small molecule inhibitors (SMIs) that displaced the EGFP-tagged RAD52. The FluorIA design and protocol can be adapted and applied to detect PPIs for other protein systems. This should push forward efforts to develop targeted therapeutics against protein complexes in pathological processes.

An ELISA for the study of calcineurin-NFAT unstructured region interaction

Calcineurin is a phosphatase that targets the transcription factor, nuclear factor of activated T-cells (NFAT) dephosphorylates multiple sites along NFAT's regulatory domain. The calcineurin-NFAT complex interaction is mediated through two conserved binding motifs known as the PxIxIT and LxVP, which are located at the N- and C- terminus to the phosphorylation sites. The vast range of cellular processes regulated by the calcineurin-NFAT interaction has aroused great interest in the investigation of the structural aspects that govern their complex formation and in the discovery of protein-protein interaction inhibitors; the latter interfere with calcineurin-NFAT complex formation while keeping calcineurin's catalytic site free.To assist additional biophysical study of the calcineurin-NFAT structure-function relation and to screen for new inhibitors, we present a robust and cost-effective Enzyme Linked Immuno Sorbent Assay (ELISA) that is based on the interaction of calcineurin with the NFAT homology region. The latter includes the two calcineurin's binding sites, in addition to the phosphorylation sites. The ELISA experiment shown here can thus be applied towards the study of important structural aspects of the complex and for the discovery of new inhibitors. This will allow for a better understanding of T-cell activation switch.

Recent advancements in the discovery of protein-protein interaction inhibitors of replication protein A.

Due to the relatively high rate of DNA damage that can occur during cell cycle progression, the DNA damage response (DDR) pathway is critical for the survival of eukaryotic cells. Replication protein A (RPA) is an essential cell cycle checkpoint protein that mediates the initiation of the DDR by binding to single-stranded DNA (ssDNA) and recruiting response partners via protein-protein interactions (PPIs). This important role of RPA in initiating the DDR and cell survival has led to interest within the scientific community to investigate RPA as a potential cancer drug discovery target. To this end, RPA inhibitors have been explored via a variety of methods. This review summarizes the structure and function of RPA and highlights recent efforts to discover inhibitors of RPA-protein interactions.

Effective Screening Strategy Using Ensembled Pharmacophore Models Combined with Cascade Docking: Application to p53-MDM2 Interaction Inhibitors

Protein-protein interactions (PPIs) play a crucial role in cellular function and form the backbone of almost all biochemical processes. In recent years, protein-protein interaction inhibitors (PPIIs) have represented a treasure trove of potential new drug targets. Unfortunately, there are few successful drugs of PPIIs on the market. Structure-based pharmacophore (SBP) combined with docking has been demonstrated as a useful Virtual Screening (VS) strategy in drug development projects. However, the combination of target complexity and poor binding affinity prediction has thwarted the application of this strategy in the discovery of PPIIs. Here we report an effective VS strategy on p53-MDM2 PPI. First, we built a SBP model based on p53-MDM2 complex cocrystal structures. The model was then simplified by using a Receptor-Ligand complex-based pharmacophore model considering the critical binding features between MDM2 and its small molecular inhibitors. Cascade docking was subsequently applied to improve the hit rate. Based on this strategy, we performed VS on NCI and SPECS databases and successfully discovered 6 novel compounds from 15 hits with the best, compound 1 (NSC 5359), K(i) = 180 ± 50 nM. These compounds can serve as lead compounds for further optimization.

A Biochemical/Biophysical Assay Dyad for HTS-Compatible Triaging of Inhibitors of the HIV-1 Nef/Hck SH3 Interaction

The current treatment regimens for HIV include over 20 anti-retrovirals. However, adverse drug effects and the emergence of drug resistance necessitates the continued improvement of the existing drug classes as well as the development of novel drugs that target as yet therapeutically unexploited viral and cellular pathways. Here we demonstrate a strategy for the discovery of protein-protein interaction inhibitors of the viral pathogenicity factor HIV-1 Nef and its interaction with the host factor SH3. A combination of a time-resolved fluorescence resonance energy resonance energy transfer-based assay and a label-free resonant waveguide grating-based assay was optimized for high-throughput screening formats.

Pharmacophore Modelling as a Virtual Screening Tool for the Discovery of Small Molecule Protein-protein Interaction Inhibitors

Pharmacophore searches have become a popular tool for virtual screening of libraries to identify novel active substances that can be potentially developed into drugs. While they have been applied for years on common drug targets, their application in the discovery of protein-protein interaction inhibitors remains limited. This review describes current pharmacophore modelling methods applied in the discovery of novel inhibitors targeting protein-protein interactions. We first address the mimicry of protein-protein interactions with their respective inhibitors as observed in crystal structure complexes. This mimicry can be exploited to derive a pharmacophore query from protein-protein complex structures. We then discuss several cases where pharmacophore queries were utilized for the discovery of first-in-class inhibitors of their respective protein-protein interaction targets. These examples have demonstrated the usefulness of pharmacophore modelling in the quest for protein-protein interaction inhibitors.

Solid-phase synthesis of short α-helices stabilized by the hydrogen bond surrogate approach

Stabilized α-helices and nonpeptidic helix mimetics have emerged as powerful molecular scaffolds for the discovery of protein-protein interaction inhibitors. Protein-protein interactions often involve large contact areas, which are often difficult for small molecules to target with high specificity. The hypothesis behind the design of stabilized helices and helix mimetics is that these medium-sized molecules may pursue their targets with higher specificity because of a larger number of contacts. This protocol describes an optimized synthetic strategy for the preparation of stabilized α-helices that feature a carbon-carbon linkage in place of the characteristic N-terminal main-chain hydrogen bond of canonical helices. Formation of the carbon-carbon bond is enabled by a microwave-assisted ring-closing metathesis reaction between two terminal olefins on the peptide chain. The outlined strategy allows the synthesis and purification of a hydrogen bond surrogate (HBS) α-helix in ∼ 1 week.

High Specificity in Protein Recognition by Hydrogen‐Bond‐Surrogate α‐Helices: Selective Inhibition of the p53/MDM2 Complex

Stabilized α-helices and nonpeptidic helix mimetics have emerged as powerful molecular scaffolds for the discovery of protein-protein interaction inhibitors.[1–8] Protein-protein interactions often involve large contact areas, which are often difficult for small molecules to target with high specificity.[9–10] The hypothesis behind the design of stabilized helices and helix mimetics is that these medium-sized molecules may pursue their targets with higher specificity because of a larger number of contacts. We recently introduced a new strategy for the preparation of stabilized α-helices, termed hydrogen bond surrogate (HBS) helices, which involves replacement of one of the main chain hydrogen bonds with a covalent linkage (Figure 1A).[11] The salient feature of the HBS approach is its ability to constrain very short peptides into highly stable α-helical conformation without blocking any molecular recognition surfaces. We have extensively analyzed the conformation adopted by HBS α-helices with 2D NMR, X-ray, and circular dichroism spectroscopies.[12–14] In addition, HBS helices have been shown to target their expected protein partners with high affinity in cell-free and cell culture assays.[15–17]