Small Solutions for Big Problems in Drug Discovery and Delivery  News-Medical.Net

Based on a multi-year field study of early-stage drug discovery project teams at a global pharmaceutical company, this paper examines how multidisciplinary teams engaged in knowledge creation combine formal and informal coordination mechanisms when faced with unpredictable interdependencies among specialists' knowledge domains. While multidisciplinary teams are critical for knowledge creation in increasingly specialized work environments, the coordination literature has been divided with respect to the extent to which such teams rely on formal coordination structures and informal coordination practices. Our findings show that when interdependencies among knowledge domains are dynamic and unpredictable, specialists design self-managed (sub-)teams around collectively held assumptions about interdependencies based on incomplete information (conjectural interdependencies). These team structures establish the grounds for informal coordination practices that enable specialists to both manage known interdependencies and reveal new interdependencies. Newly revealed interdependencies among knowledge domains, in turn, promote structural adaptation. Drawing on these findings, we advance an integrative model explaining how team-based knowledge creation relies on the mutual constitution of formal coordination structures and informal coordination practices. The model contributes to theory on organizational design and practice-based research on coordination in cross-disciplinary knowledge creation.

Structure-based drug design is highly dependent on the availability of structures of the protein of interest in complex with lead compounds. Ideally, this information can be used to guide the chemical optimization of a compound into a pharmaceutical drug candidate. A limitation of the main structural method used today – conventional X-ray crystallography – is that it only provides structural information about the protein complex in its frozen state. Serial crystallography is a relatively new approach that offers the possibility to study protein structures at room temperature (RT). Here, we explore the use of serial crystallography to determine the structures of the pharmaceutical target, soluble epoxide hydro­lase. We introduce a new method to screen for optimal microcrystallization conditions suitable for use in serial crystallography and present a number of RT ligand-bound structures of our target protein. From a comparison between the RT structural data and previously published cryo-temperature structures, we describe an example of a temperature-dependent difference in the ligand-binding mode and observe that flexible loops are better resolved at RT. Finally, we discuss the current limitations and potential future advances of serial crystallography for use within pharmaceutical drug discovery.

Dr. Beyza Bulutoglu channels years of expertise into her work with Genentech Inc.

Editorial: Mass spectrometry-based proteomics in drug discovery and development  Frontiers

Google DeepMind has silently open-sourced its frontier artificial intelligence (AI) model that can predict the interaction between proteins and other molecules. Dubbed AlphaFold 3, the large language model is the successor of AlphaFold 2, whose research led to the creators of the large language model (LLM) Demis Hassabis and John Jumper getting the Nobel Prize in Chemistry in 2024.

The development of transforming growth factor βreceptor inhibitors (TGFβRi) as new medicines has been affected by cardiac valvulopathy and arteriopathy toxicity findings in nonclinical toxicology studies. PF-06952229 (MDV6058) selected using rational drug design is a potent and selective TGFβRI inhibitor with a relatively clean off-target selectivity profile and good pharmacokinetic properties across species. PF-06952229 inhibited clinically translatable phospho-SMAD2 biomarker (≥60%) in human and cynomolgus monkey peripheral blood mononuclear cells, as well as in mouse and rat splenocytes. Using an optimized, intermittent dosing schedule (7-day on/7-day off/cycle; 5 cycles), PF-06952229 demonstrated efficacy in a 63-day syngeneic MC38 colon carcinoma mouse model. In the pivotal repeat-dose toxicity studies (rat and cynomolgus monkey), PF-06952229 on an intermittent dosing schedule (5-day on/5-day off cycle; 5 cycles, 28 doses) showed no cardiac-related adverse findings. However, new toxicity findings related to PF-06952229 included reversible hepatocellular (hepatocyte necrosis with corresponding clinically monitorable transaminase increases) and lung (hemorrhage with mixed cell inflammation) findings at ≥ targeted projected clinical efficacious exposures. Furthermore, partially reversible cartilage hypertrophy (trachea and femur in rat; femur in monkey) and partially to fully reversible, clinically monitorable decreases in serum phosphorus and urinary phosphate at ≥ projected clinically efficacious exposures were observed. Given the integral role of TGFβ in endochondral bone formation, cartilage findings in toxicity studies have been observed with other TGFβRi classes of compounds. The favorable cumulative profile of PF-06952229 in biochemical, pharmacodynamic, pharmacokinetic, and nonclinical studies allowed for its evaluation in cancer patients using the intermittent dosing schedule (7-day on/7-day off) and careful protocol-defined monitoring.

Researchers from Cincinnati Children's Hospital and the University of Cincinnati College of Medicine have developed a novel approach to increase speed

Alzheimer's Drug Discovery Foundation Funds Amicus Therapeutics To Advance Pharmacological Chaperone Technology

Approximately one in five Americans experiences chronic pain, and existing medications aren't very promising. Feixiong Cheng, Ph.D, Director of the Genome

While AI is making significant strides in healthcare, it is also transforming other industries, such as insurance.

New partnership is part of GSK’s R&D face-lift, which includes an increased focus on immune system targets

A library of macrocyclic compounds of the formula (I) where part (A) is a bivalent radical, a —(CH2)y— bivalent radical or a covalent bond;where part (B) is a bivalent radical, a —(CH2)z— bivalent radical, or a covalent bond;where part (C) is a bivalent radical, a —(CH2)t— bivalent radical, or a covalent bond; andwhere part (T) is a —Y-L-Z— radical wherein Y is CH2 or CO, Z is NH or O and L is a bivalent radical. These compounds are useful for carrying out screening assays or as intermediates for the synthesis of other compounds of pharmaceutical interest. A process for the preparation of these compounds in a combinatorial manner, is also disclosed.

Many chemicals and cellular processes cause oxidative stress that can damage lipids, proteins, or DNA (1). To quickly sense and respond to this ubiquitous threat, organisms have evolved enzymes that neutralize harmful oxidants such as reactive oxygen species and electrophilic compounds (including xenobiotics and their breakdown products) in cells.These antioxidant enzymes include GSH S-transferase (GST),2 NADPH:quinone oxidoreductase 1, thioredoxin, hemeoxygenase-1, and others (2, 3). Many of these proteins are commonly expressed in cells exposed to oxidative stress.The antioxidant response element (ARE) is a major regulatory component of this cellular stress response. The ARE is a conserved, 11-nucleotide-long DNA motif present in the 5'-flanking regions of many genes encoding antioxidant proteins. The laboratory of Cecil Pickett (Fig. 1) at the Merck Frosst Centre for Therapeutic Research in Quebec discovered ARE, a finding reported in the early 1990s in two JBC papers recognized as Classics here (4, 5).jbc;295/12/3929/F1F1F1Figure 1.Cecil Pickett (pictured) and colleagues first described the ARE motif, present in the 5' regions of many genes whose expression is up-regulated by oxidative stress and xenobiotics. Photo courtesy of Cecil Pickett.ARE's discovery was spurred in large part by Pickett's career choice. After completing a PhD in biology and a 2-year postdoc at UCLA in the mid-1970s, he began to work in the pharmaceutical industry.Recruited to Merck in 1978 by its then head of research and development (and later CEO), Roy Vagelos, “I became interested in how drug-metabolizing enzymes were induced by various xenobiotics,” Pickett says.According to Pickett, Vagelos encouraged researchers at the company...

It has been identified that arginine vasopressin (AVP), vasopressin receptor 2(V2R), and the aquaporin 2 (AQP2) signaling pathway in the inner ear play important roles in hearing and balance functions through regulating the endolymph equilibrium; however, the contributions of this signaling pathway to the development of motion sickness are unclear. The present study was designed to investigate whether the activation of the AVP-V2R-AQP2 signaling pathway in the inner ear is involved in the induction of motion sickness and whether mozavaptan, a V2R antagonist, could reduce motion sickness. We found that both rotatory stimulus and intraperitoneal AVP injection induced conditioned taste aversion (a confirmed behavioral index for motion sickness) in rats and activated the AVP-V2R-AQP2 signaling pathway with a responsive V2R downregulation in the inner ears, and AVP perfusion in cultured epithelial cells from rat endolymphatic sacs induced similar changes in this pathway signaling. Vestibular training, V2R antagonist mozavaptan, or PKA inhibitor H89 blunted these changes in the V2R-AQP2 pathway signaling while reducing rotatory stimulus– or DDAVP (a V2R agonist)-induced motion sickness in rats and dogs. Therefore, our results suggest that activation of the inner ear AVP-V2R-AQP2 signaling pathway is potentially involved in the development of motion sickness; thus, mozavaptan targeting AVP V2Rs in the inner ear may provide us with a new application option to reduce motion sickness.

Metastatic breast cancer is prevalent worldwide, and one of the most common sites of metastasis is long bones. Of patients with disease, the major symptom is pain, yet current medications fail to adequately result in analgesic efficacy and present major undesirable adverse effects. In our study, we investigate the potential of a novel monoacylglycerol lipase (MAGL) inhibitor, MJN110, in a murine model of cancer-induced bone pain. Literature has previously demonstrated that MAGL inhibitors function to increase the endogenous concentrations of 2-arachydonylglycerol, which then activates CB1 and CB2 receptors to inhibit inflammation and pain. We demonstrate that administration of MJN110 significantly and dose dependently alleviates spontaneous pain behavior during acute administration compared with vehicle control. In addition, MJN110 maintains its efficacy in a chronic-dosing paradigm over the course of 7 days without signs of receptor sensitization. In vitro analysis of MJN110 demonstrated a dose-dependent and significant decrease in cell viability and proliferation of 66.1 breast adenocarcinoma cells to a greater extent than KML29, an alternate MAGL inhibitor, or the CB2 agonist JWH015. Chronic administration of the compound did not appear to affect tumor burden, as evidenced by radiograph or histologic analysis. Together, these data support the application for MJN110 as a novel therapeutic for cancer-induced bone pain.

PF06821497 has been identified as an orally available small-molecule enhancer of zeste homolog 2 inhibitor. The objectives of the present study were to characterize pharmacokinetic-pharmacodynamic-disease relationships of PF06821497 in xenograft mouse models with diffuse large B-cell lymphoma (Karpas422). An indirect-response model reasonably fit dose-dependent pharmacodynamic responses [histone H3 on lysine 27 (H3K27) me3 inhibition] with an unbound EC₅₀ of 76 nM, whereas a signal-transduction model sufficiently fit dose-dependent disease responses (tumor growth inhibition) with an unbound tumor stasis concentration (T_sc) of 168 nM. Thus, effective concentration for 70% of maximal effect (EC₇₀) for H3K27me3 inhibition was roughly comparable to T_sc, suggesting that 70% H3K27me3 inhibition could be required for tumor stasis. Consistently, an integrated pharmacokinetic-pharmacodynamic-disease model adequately describing tumor growth inhibition also suggested that ~70% H3K27me3 inhibition was associated with tumor stasis. Based on these results, we would propose that an EC₇₀ estimate for H3K27me3 inhibition corresponding to tumor stasis could be considered a minimum target efficacious concentration of PF06821497 in cancer patients.

Glucagon-like peptide-2 (GLP-2) agonists have therapeutic potential in clinical indications in which the integrity or absorptive function of the intestinal mucosa is compromised, such as in short bowel syndrome (SBS). Native hGLP-2, a 33–amino acid peptide secreted from the small intestine, contributes to nutritional absorption but has a very short half-life because of enzymatic cleavage and renal clearance and thus is of limited therapeutic value. The GLP-2 analog teduglutide (Revestive/Gattex; Shire Inc.) has been approved for use in SBS since 2012 but has a once-daily injection regimen. Pharmacokinetic (PK) and pharmacodynamic studies confirm that apraglutide, a novel GLP-2 analog, has very low clearance, long elimination half-life, and high plasma protein binding compared with GLP-2 analogs teduglutide and glepaglutide. Apraglutide and teduglutide retain potency and selectivity at the GLP-2 receptor comparable to native hGLP-2, whereas glepaglutide was less potent and less selective. In rat intravenous PK studies, hGLP-2, teduglutide, glepaglutide, and apraglutide had clearances of 25, 9.9, 2.8, and 0.27 ml/kg per minute, respectively, and elimination half-lives of 6.4, 19, 16, and 159 minutes, respectively. The unique PK profile of apraglutide administered via intravenous and subcutaneous routes was confirmed in monkey and minipig and translated into significantly greater in vivo pharmacodynamic activity, measured as small intestinal growth in rats. Apraglutide showed greater intestinotrophic activity than the other peptides when administered at less-frequent dosing intervals because of its prolonged half-life. We postulate that apraglutide offers several advantages over existing GLP-2 analogs and is an excellent candidate for the treatment of gastrointestinal diseases, such as SBS.

Abicipar pegol (abicipar) is a novel DARPin therapeutic and highly potent vascular endothelial growth factor (VEGF) inhibitor intended for the treatment of neovascular age-related macular degeneration (nAMD). Here we develop a translational pharmacokinetic/pharmacodynamic (PK/PD) model for abicipar to guide dosing regimens in the clinic. The model incorporated abicipar-VEGF binding kinetics, VEGF expression levels, and VEGF turnover rates to describe the ocular and systemic PK data collected from the vitreous, aqueous humor (AH), choroid, retina, and serum of rabbits after a 1-mg abicipar intravitreal (IVT) dose. The model was translated to humans using human-specific mechanistic parameters and refitted to human serum and AH concentrations from patients with diabetic macular edema and nAMD. The model was then used to simulate 8-, 12- (quarterly), and 16-week dosing intervals in the clinic. Simulations of 2 mg abicipar IVT at 8-week or quarterly dosing in humans indicates minimum steady-state vitreal concentrations are maintained above both in vitro IC₅₀ and in vivo human IC₅₀ values. The model predicted virtually complete VEGF inhibition for the 8-week and quarterly dosing schedule during the 52-week treatment period. In the 16-week schedule, clinically significant VEGF inhibition was maintained during the 52-week period. The model quantitatively described abicipar-VEGF target engagement leading to rapid reduction of VEGF and a long duration of VEGF inhibition demonstrating the clinical feasibility of up to a 16-week dosing interval. Abicipar is predicted to reduce IVT dosing compared with other anti-VEGF therapies with the potential to lessen patient treatment burden.

Advances in synthetic biology have enabled the production of a variety of compounds using bacteria as a vehicle for complex compound biosynthesis. Violacein, a naturally occurring indole pigment with antibiotic properties, can be biosynthetically engineered in Escherichia coli expressing its nonnative synthesis pathway. To explore whether this synthetic biosynthesis platform could be used for drug discovery, here we have screened bacterially derived violacein against the main causative agent of human malaria, Plasmodium falciparum. We show the antiparasitic activity of bacterially derived violacein against the P. falciparum 3D7 laboratory reference strain as well as drug-sensitive and -resistant patient isolates, confirming the potential utility of this drug as an antimalarial agent. We then screen a biosynthetic series of violacein derivatives against P. falciparum growth. The varied activity of each derivative against asexual parasite growth points to the need to further develop violacein as an antimalarial. Towards defining its mode of action, we show that biosynthetic violacein affects the parasite actin cytoskeleton, resulting in an accumulation of actin signal that is independent of actin polymerization. This activity points to a target that modulates actin behavior in the cell either in terms of its regulation or its folding. More broadly, our data show that bacterial synthetic biosynthesis could become a suitable platform for antimalarial drug discovery, with potential applications in future high-throughput drug screening with otherwise chemically intractable natural products.

The MaMTH-DS assay detected inhibitors of mutant EGFR in non–small cell lung cancer cells.

AI drug discovery firm Exscientia has announced the appointment of Dr David Hallett as its Chief Operating Officer and Head of Drug Discovery.

Bringing 20 years of experience to the role, Dr Hallett’s primary remit will see him take responsibility for the company’s entire drug discovery portfolio, as well as managing pharma collaborations, joint ventures and pipeline projects. He will report to Exscientia Founder and CEO Professor Andrew Hopkins.

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GlaxoSmithKline (GSK) is creating a data-focused culture and a global machine-learning team.

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Hayden Library - RM301.25.S65 2018

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Hayden Library - QP609.P56 A38 2018

The chemist wants the Gates Foundation–backed institute to share its expertise during the coronavirus pandemic and advocate for public health

Biotech veteran Rosana Kapeller co-founded the start-up, which raised $50 million to develop small-molecule drugs