Library construction, selection and modification strategies to generate therapeutic peptide-based modulators of protein-protein interactions

Recent advances in the development of therapeutic peptides

Peptides have unique characteristics that make them highly desirable as therapeutic agents. The physicochemical and proteolytic stability profiles determine the therapeutic potential of peptides. Multiple strategies to enhance the therapeutic profile of peptides have emerged. They include chemical modifications, such as cyclization, substitution with d-amino acids, peptoid formation, N-methylation, and side-chain halogenation, and incorporation in delivery systems. There have been recent advances in approaches to discover peptides having these modifications to attain desirable therapeutic properties. We critically review these recent advancements in therapeutic peptide development.

Peptide-based LDH5 inhibitors enter cancer cells and impair proliferation

Lactate dehydrogenase 5 (LDH5) is overexpressed in many cancers and is a potential target for anticancer therapy due to its role in aerobic glycolysis. Small-molecule drugs have been developed as competitive inhibitors to bind substrate/cofactor sites of LDH5, but none reached the clinic to date. Recently, we designed the first LDH5 non-competitive inhibitor, cGmC9, a peptide that inhibits protein-protein interactions required for LDH5 enzymatic activity. Peptides are gaining a large interest as anticancer agents to modulate intracellular protein-protein interactions not targetable by small molecules; however, delivery of these peptides to the cytosol, where LDH5 and other anticancer targets are located, remains a challenge for this class of therapeutics. In this study, we focused on the cellular internalisation of cGmC9 to achieve LDH5 inhibition in the cytosol. We designed cGmC9 analogues and compared them for LDH5 inhibition, cellular uptake, toxicity, and antiproliferation against a panel of cancer cell lines. The lead analogue, [R/r]cGmC9, specifically impairs proliferation of cancer cell lines with high glycolytic profiles. Proteomics analysis showed expected metabolic changes in response to decreased glycolysis. This is the first report of a peptide-based LDH5 inhibitor able to modulate cancer metabolism and kill cancer cells that are glycolytic. The current study demonstrates the potential of using peptides as inhibitors of intracellular protein-protein interactions relevant for cancer pathways and shows that active peptides can be rationally designed to improve their cell permeation.

Accelerating the discovery of anticancer peptides targeting lung and breast cancers with the Wasserstein autoencoder model and PSO algorithm

In the development of targeted drugs, anticancer peptides (ACPs) have attracted great attention because of their high selectivity, low toxicity and minimal non-specificity. In this work, we report a framework of ACPs generation, which combines Wasserstein autoencoder (WAE) generative model and Particle Swarm Optimization (PSO) forward search algorithm guided by attribute predictive model to generate ACPs with desired properties. It is well known that generative models based on Variational AutoEncoder (VAE) and Generative Adversarial Networks (GAN) are difficult to be used for de novo design due to the problems of posterior collapse and difficult convergence of training. Our WAE-based generative model trains more successfully (lower perplexity and reconstruction loss) than both VAE and GAN-based generative models, and the semantic connections in the latent space of WAE accelerate the process of forward controlled generation of PSO, while VAE fails to capture this feature. Finally, we validated our pipeline on breast cancer targets (HIF-1) and lung cancer targets (VEGR, ErbB2), respectively. By peptide-protein docking, we found candidate compounds with the same binding sites as the peptides carried in the crystal structure but with higher binding affinity and novel structures, which may be potent antagonists that interfere with these target-mediated signaling.

An Approach to Derive Functional Peptide Inhibitors of Transcription Factor Activity

We report the development of a high-throughput, intracellular "transcription block survival" (TBS) screening platform to derive functional transcription factor antagonists. TBS is demonstrated using the oncogenic transcriptional regulator cJun, with the development of antagonists that bind cJun and prevent both dimerization and, more importantly, DNA binding remaining a primary challenge. In TBS, cognate TRE sites are introduced into the coding region of the essential gene, dihydrofolate reductase (DHFR). Introduction of cJun leads to TRE binding, preventing DHFR expression by directly blocking RNA polymerase gene transcription to abrogate cell proliferation. Peptide library screening identified a sequence that both binds cJun and antagonizes function by preventing DNA binding, as demonstrated by restored cell viability and subsequent in vitro hit validation. TBS is an entirely tag-free genotype-to-phenotype approach, selecting desirable attributes such as high solubility, target specificity, and low toxicity within a complex cellular environment. TBS facilitates rapid library screening to accelerate the identification of therapeutically valuable sequences.

Potent Inhibition of HIF1α and p300 Interaction by a Constrained Peptide Derived from CITED2

Disrupting the interaction between HIF1α and p300 is a promising strategy to modulate the hypoxia response of tumor cells. Herein, we designed a constrained peptide inhibitor derived from the CITED2/p300 complex to disturb the HIF1α/p300 interaction. Through truncation/mutation screening and a terminal aspartic acid-stabilized strategy, a constrained peptide was constructed with outstanding biochemical/biophysical properties, especially in binding affinity, cell penetration, and serum stability. To date, our study was the first one to showcase that stabilized peptides derived from CITED2 using helix-stabilizing methods acted as a promising candidate for modulating hypoxia-inducible signaling.

Protein-Protein Interactions and Aggregation Inhibitors in Alzheimer's Disease

BACKGROUND

Alzheimer's Disease (AD), a multifaceted disorder, involves complex pathophysiology and plethora of protein-protein interactions. Thus such interactions can be exploited to develop anti-AD drugs.

OBJECTIVE

The interaction of dynamin-related protein 1, cellular prion protein, phosphoprotein phosphatase 2A and Mint 2 with amyloid β, etc., studied recently, may have critical role in progression of the disease. Our objective has been to review such studies and their implications in design and development of drugs against the Alzheimer's disease.

METHODS

Such studies have been reviewed and critically assessed.

RESULTS

Review has led to show how such studies are useful to develop anti-AD drugs.

CONCLUSION

There are several PPIs which are current topics of research including Drp1, Aβ interactions with various targets including PrPC, Fyn kinase, NMDAR and mGluR5 and interaction of Mint2 with PDZ domain, etc., and thus have potential role in neurodegeneration and AD. Finally, the multi-targeted approach in AD may be fruitful and opens a new vista for identification and targeting of PPIs in various cellular pathways to find a cure for the disease.

Exploiting Overlapping Advantages of In Vitro and In Cellulo Selection Systems to Isolate a Novel High-Affinity cJun Antagonist

We have combined two peptide library-screening systems, exploiting the benefits offered by both to select novel antagonistic agents of cJun. CIS display is an in vitro cell-free system that allows very large libraries (≤10¹⁴) to be interrogated. However, affinity-based screening conditions can poorly reflect those relevant to therapeutic application, particularly for difficult intracellular targets, and can lead to false positives. In contrast, an in cellulo screening system such as the Protein-fragment Complementation Assay (PCA) selects peptides with high target affinity while additionally profiling for target specificity, protease resistance, solubility, and lack of toxicity in a more relevant context. A disadvantage is the necessity to transform cells, limiting library sizes that can be screened to ≤10⁶. However, by combining both cell-free and cell-based systems, we isolated a peptide (CPW) from a ∼10¹⁰ member library, which forms a highly stable interaction with cJun (T_m = 63 °C, K_d = 750 nM, ΔG = -8.2 kcal/mol) using the oncogenic transcriptional regulator Activator Protein-1 (AP-1) as our exemplar target. In contrast, CIS display alone selected a peptide with low affinity for cJun (T_m = 34 °C, K_d = 25 μM, ΔG = -6.2 kcal/mol), highlighting the benefit of CIS → PCA. Furthermore, increased library size with CIS → PCA vs PCA alone allows the freedom to introduce noncanonical options, such as interfacial aromatics, and solvent exposed options that may allow the molecule to explore alternative structures and interact with greater affinity and efficacy with the target. CIS → PCA therefore offers significant potential as a peptide-library screening platform by synergistically combining the relative attributes of both assays to generate therapeutically interesting compounds that may otherwise not be identified.

Designing helical peptide inhibitors of protein-protein interactions

Short helical peptides combine characteristics of small molecules and large proteins and provide an exciting area of opportunity in protein design. A growing number of studies report novel helical peptide inhibitors of protein-protein interactions. New techniques have been developed for peptide design and for chemically stabilizing peptides in a helical conformation, which frequently improves protease resistance and cell permeability. We summarize advances in peptide crosslinking chemistry and give examples of peptide design studies targeting coiled-coil transcription factors, Bcl-2 family proteins, MDM2/MDMX, and HIV gp41, among other targets.