Cytochrome P450 (CYP) inhibitors are often used as boosting agents in combination with other drugs. This drug development strategy is front and center for Paxlovid, the new anti-SARS-CoV-2 treatment from Pfizer. Paxlovid is a combination therapy, comprised of two protease inhibitors, nirmatrelvir and ritonavir. It significantly reduces the risk of COVID-19 hospitalization in high-risk adults and is ingested orally rather than injected, which is an advantage over other SARS-CoV-2 treatments, such as Remdesivir.
Nirmatrelvir was originally developed by Pfizer almost 20 years ago to treat HIV and works by blocking enzymes that help viruses replicate. Pfizer created another version of this drug to combat SARS in 2003, but, once that outbreak ended, further development was put on pause until the advent of the COVID-19 pandemic. After developing an intravenous form of nirmatrelvir early in the pandemic, Pfizer created another version that can be taken orally and combined it with ritonavir.
When ritonavir was originally developed, it wasn’t considered particularly useful because it metabolized so quickly in the body. Now it is recognized as a pharmacokinetic enhancer in combination with other drugs. Ritonivir inhibits CYP3A4, an enzyme which plays a key role in the metabolism of drugs and xenobiotics. By inhibiting CYP3A4, ritonivir slows the metabolism of other drugs. In the case of Paxlovid, this allows nirmatrelvir to stay in the body longer at a high enough concentration to be effective against the virus. This ultimately means that patients can be given lower doses of the drug with reducing efficacy.
A new study published in Nature Chemical Biology shows that the most commonly mutated protein in cancer might not be as “undruggable” as previously believed. Promega R&D scientists collaborated with the research group led by Kevan Shokat at the University of California – San Francisco to develop strategies for targeting mutants of KRAS that have evaded previous drug discovery efforts. Their paper opens new possibilities for developing small molecule inhibitors against KRAS(G12D) and other clinically significant mutants.
G protein-coupled receptors (GPCRs) comprise a large group of cell surface receptors, characterized by the unique structural property of crossing the cell membrane seven times. They respond to a diverse group of signaling molecules, such as peptides, neurotransmitters, cytokines, hormones and other small molecules (1). Upon activation, GPCRs interact with GTP-binding (G) proteins and arrestins to regulate a wide variety of signaling pathways. This broad range of functions makes GPCRs attractive targets for drug discovery. The importance of GPCR research was highlighted in 2012, with the Nobel Prize in chemistry being awarded to Robert Lefkowitz and Brian Kobilka “for studies of G-protein–coupled receptors”.
Based on structure and function, GPCRs are categorized into six classes, A–F. The class A GPCRs, or rhodopsin-like receptors, have been studied extensively due to their association with many types of diseases (2). Within the class A GPCRs is a group that share a highly conserved structural motif (3) and respond to chemokines—small “chemotactic cytokines” that stimulate cell migration, especially that of white blood cells (4). A subfamily of class A GPCRs respond to chemokines that have two cysteine residues near the N-terminus, known as CC chemokines. GPCRs activated by CC chemokines are called CC chemokine receptors or CCRs, and these interactions have been implicated in both pro- and anti-cancer pathways (5).
Understanding how a compound or drug affects cellular pathways often requires measuring kinetic changes over an extended period of time—from several hours to days. Live-cell kinetic cell-based assays that measure cell viability, cytotoxicity, apoptosis and other cellular pathways are great for collecting real-time data. You don’t necessarily need expensive equipment to run these types of assays. In the videos below, Dr. Sarah Mahan, a research scientist at Promega, demonstrates how you can easily get great 24-hour or multi-day kinetic data using a GloMax® Microplate Reader.
Imagine a scenario—you’re studying the developmental biology of a species of squid. The squid don’t reproduce in captivity, so females carrying fertilized eggs are collected from the wild and rehomed in your lab’s aquariums. You’ve monitored all the normal aquarium conditions—pH, temperature, salinity—ensuring the animal’s new home mimics its natural environment.
But then, for no reason apparent to you, the clutch of eggs doesn’t develop and doesn’t hatch, derailing your research program until next year when you can collect more adult squid from the wild. What went wrong?
Globally, there have been over 5 million deaths attributed to COVID-19 since the start of the pandemic. Throughout the ongoing battle against SARS-CoV-2, researchers have been studying the viral lineage and the variants that are emerging as the virus evolves over time. The more opportunities that the virus has to replicate (i.e., the more people it infects), the greater the likelihood that a new variant will emerge.
The US Centers for Disease Control and Prevention (CDC) classify SARS-CoV-2 variants into four groups: Variants Being Monitored (VBM), Variants of Interest (VOI), Variants of Concern (VOC) and Variants of High Consequence (VOHC). So far, no variants in the US have been identified as VOHC or VOI. Currently, the most common variant in the US is the Delta variant (which includes the B.1.617.2 and AY viral lineages), and it is classified as a VOC.
The Delta variant originated in India and spread rapidly across the UK before making its way into the US (1). Current vaccines, including mRNA and adenoviral vector vaccines, have demonstrated effectiveness against the Delta variant. However, it is a VOC because it is more than twice as contagious as previous variants, and some studies have shown that it is associated with more severe symptoms.
A recent study (2) provides one explanation for the higher infectivity of the Delta variant, using an approach based on virus-like particles (VLPs). The research team was led by Dr. Jennifer Doudna, 2020 Nobel Prize winner for her work on CRISPR-Cas9 gene editing, and Dr. Melanie Ott, director of the Gladstone Institute of Virology at the University of California–Berkeley.
In the life of a cell, phosphorylation of proteins is an everyday occurrence. The transfer of a phosphate group, from a molecule such as adenosine triphosphate (ATP) to a specific functional group on a protein, is catalyzed by a protein kinase. The vast majority of protein kinases are classified as either serine/threonine kinases or tyrosine kinases; over 500 kinase genes have been identified in the human genome (1).
Protein phosphorylation is a key step in most cell signaling pathways, in response to external or internal stimuli, and it is not surprising that dysregulation of these pathways contributes to a variety of cancers. The first oncogene to be characterized was SRC, a gene that encodes a tyrosine kinase (reviewed in 2). With more kinases being implicated in oncogenic pathways, significant drug discovery efforts have been devoted to developing and characterizing inhibitors of protein kinases. These efforts have accelerated ever since the first targeted small-molecule kinase inhibitor, imatinib, received US FDA approval in 2001 for the treatment of chronic myeloid leukemia (3). Since that time, many more protein kinase inhibitors have received FDA approval, with 67 small-molecule inhibitors listed as of September 2021.
Wearing blue surgical gowns and white respirator hoods, research scientist Pradeep Uchil and post-doctoral fellow Irfan Ullah carry an anesthetized mouse to the lab’s imaging unit. Two days ago, the mouse was infected with a SARS-CoV-2 virus engineered to produce a bioluminescent protein. After an injection of a bioluminescence substrate, a blue glow starts to emanate from within the mouse’s nasal cavity and chest, visible to the imaging unit’s camera and Uchil’s eyes.
“We were never able to see this kind of signal with retrovirus infections.” Uchil is a research scientist at the Yale School of Medicine whose work focuses on the in vivo imaging of retroviral infections. Normally, the mouse would have to be sacrificed and “opened up” for viral bioluminescent signals from internal tissues to be imaged directly.
On September 19, 1957, Francis Crick delivered a lecture during a symposium at University College London, titled “Protein Synthesis”. The lecture was published a year later (1); in it, Crick quotes his colleague James Watson as saying, “The most significant thing about the nucleic acids is that we don’t know what they can do.” In contrast, Crick argued that proteins play a central, indispensable role as enzymes within the cell that catalyze a variety of chemical reactions. He believed that the main role of genetic material was to control the synthesis of proteins, although the mechanism of that process was not known.
Crick’s hypothesis came to be known as the central dogma of molecular biology, and it was immortalized in his hand-written notes that described the flow of information from DNA to RNA to proteins. This achievement was all the more remarkable, considering that messenger RNAs were completely unknown at that time, and very little was known about how the cellular translational machinery functioned within the cytoplasm to synthesize proteins. Although the later discovery of retroviruses appeared to challenge Crick’s central dogma, he explained quite succinctly that his original statement had simply been misunderstood, and that information could flow in both directions between DNA and RNA (2).
For decades now, peptides have been a molecule of interest for drug discovery research. Peptides offer a unique opportunity for therapeutic intervention that closely mimics natural pathways, as many physiological functions utilize peptides as intrinsic signaling molecules. Macrocyclic peptides, in particular, have recently proven to be promising candidates for targeting intracellular protein–protein interactions (PPIs), an attractive but hard-to-reach therapeutic target for conventional small molecule and biological drugs.
As with any opportunity, there are also challenges that accompany the peptide therapeutic development. Peptide ligands typically have poor membrane permeability, so thus far the majority of peptide therapeutics predominantly target extracellular proteins and receptors. There are also multiple mechanisms for cellular uptake of peptides, including both energy-dependent routes like endocytosis, and energy-independent, like passive diffusion or membrane translocation. Multiple mechanisms of cellular uptake paired with poor permeability makes engineering enough membrane permeability into peptides in order to advance them through drug discovery pipelines extremely difficult.
There are other factors to consider in developing peptide therapeutics, such as solubility, protein/lipid binding and stability, which can also have an affect on the overall cytosolic concentration and, ultimately impact the ability of the peptide to effectively engage its desired intracellular targets.
With so many challenging factors, the ability to have a predictive, high-throughput assay to assess cell permeability, independent of the mechanism(s) of entry, would be a critical and invaluable tool to support peptide drug discovery research.
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