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Dive into the research topics where David Michael Goldstein is active.

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Featured researches published by David Michael Goldstein.


Nature Reviews Drug Discovery | 2008

High-throughput kinase profiling as a platform for drug discovery

David Michael Goldstein; Nathanael S. Gray; Patrick P. Zarrinkar

To fully exploit the potential of kinases as drug targets, novel strategies for the efficient discovery of inhibitors are required. In contrast to the traditional, linear process of inhibitor discovery, high-throughput kinase profiling enables a parallel approach by interrogating compounds against hundreds of targets in a single screen. Compound potency and selectivity are determined simultaneously, providing a choice of targets to pursue that is guided by the quality of lead compounds available, rather than by target biology alone.


Journal of Medicinal Chemistry | 2010

Selective p38α Inhibitors Clinically Evaluated for the Treatment of Chronic Inflammatory Disorders

David Michael Goldstein; Andreas Kuglstatter; Yan Lou; Michael Soth

p38R is a member of the well characterized mitogen activatedprotein (MAP) kinase familyof serine/threonineprotein kinases. p38R is widely expressed in endothelial, immune, and inflammatory cells and plays a central role in the regulation of proinflammatory cytokine production including TNF-R, IL-1β, and IL-6. Selective blockade of any one of these cytokineswith biologic agents has proven efficacious for inflammatory diseases including rheumatoid arthritis (RA), psoriasis, and inflammatory bowel disease. The p38 subfamily of MAP kinases includes four isoforms (p38R, p38β, p38γ, and p38δ) that are encoded by separate genes. Analysis of differential tissue expression and activation of these isoforms in synovial tissue extracted fromRApatients has suggested that the p38R isoform is overactivated within inflamed tissue andmay be a preferred target for intervention in the disease. This expectation has prompted a huge investment by thepharmaceutical industry in thedevelopment of p38R inhibitors as potential oral disease modifying antirheumatic drugs (DMARDs). This Perspective will summarize key learnings from over 15 years of industrial experience with p38R as a drug target, with a focus on the rational design of highly selective small molecule inhibitors, followed by a discussion of data for examples 1-11 that have entered into or are recruiting for phase 2 clinical studies (summarized in Table 1). To date, these results have been disappointing.We conclude that p38R inhibition alone is unlikely to be a successful strategy toward treating chronic inflammatory disorders. Others have also concluded that “the era of optimism surrounding the use of p38 MAPK inhibition for the treatment of RA is over”.


Current Topics in Medicinal Chemistry | 2005

Pathway to the clinic : inhibition of P38 MAP kinase. A review of ten chemotypes selected for development

David Michael Goldstein; Tobias Gabriel

p38 mitogen activated protein (MAP) kinase remains the most compelling therapeutic target for oral drug intervention for a wide range of autoimmune disorders based on the central role this enzyme plays in inflammatory cell signaling. Efforts to discover inhibitors of p38 suitable for clinical investigation have continued to escalate in part due to the incredible diversity of unique chemotypes reported to inhibit the enzyme. Since 1993, at least seventeen p38 inhibitors have been reported to have entered into clinical trials. Next generation inhibitors have been disclosed with improved potency for p38 and enhanced selectivity versus other protein kinases. Over the last three years, there have been multiple reports of cytokine suppression in humans following oral administration of p38 inhibitors. These results, in addition to proof of concept studies in rheumatoid patients, have established p38 inhibition as an avenue for the future management of pro-inflammatory cytokine based diseases. This review describes the discovery at Roche of novel p38 inhibitors which have advanced into clinical trials. The pharmacology of the Roche compounds is then compared with eight chemically distinct p38 inhibitors known to have entered clinical development.


Nature Chemical Biology | 2015

Prolonged and tunable residence time using reversible covalent kinase inhibitors

J. Michael Bradshaw; Jesse M McFarland; Ville O. Paavilainen; Angelina Bisconte; Danny Tam; Vernon T. Phan; Sergei Romanov; David Finkle; Jin Shu; Vaishali Patel; Tony Ton; Xiaoyan Li; David G Loughhead; Philip A. Nunn; Dane Karr; Mary E. Gerritsen; Jens Oliver Funk; Timothy D. Owens; Erik Verner; Ken A. Brameld; Ronald J. Hill; David Michael Goldstein; Jack Taunton

Drugs with prolonged, on-target residence time often show superior efficacy, yet general strategies for optimizing drug-target residence time are lacking. Here, we demonstrate progress toward this elusive goal by targeting a noncatalytic cysteine in Brutons tyrosine kinase (BTK) with reversible covalent inhibitors. Utilizing an inverted orientation of the cysteine-reactive cyanoacrylamide electrophile, we identified potent and selective BTK inhibitors that demonstrate biochemical residence times spanning from minutes to 7 days. An inverted cyanoacrylamide with prolonged residence time in vivo remained bound to BTK more than 18 hours after clearance from the circulation. The inverted cyanoacrylamide strategy was further utilized to discover fibroblast growth factor receptor (FGFR) kinase inhibitors with residence times of several days, demonstrating generalizability of the approach. Targeting noncatalytic cysteines with inverted cyanoacrylamides may serve as a broadly applicable platform that facilitates “residence time by design”, the ability to modulate and improve the duration of target engagement in vivo.


Journal of Medicinal Chemistry | 2012

Bruton’s Tyrosine Kinase Inhibitors: Approaches to Potent and Selective Inhibition, Preclinical and Clinical Evaluation for Inflammatory Diseases and B Cell Malignancies

Yan Lou; Timothy D. Owens; Andreas Kuglstatter; Rama K. Kondru; David Michael Goldstein

■ INTRODUCTION Bruton’s tyrosine kinase (BTK) is a member of the Tec tyrosine kinase family. BTK is expressed in most hematopoietic cells such as B cells, mast cells, and macrophages but not in T cells, natural killer cells, and plasma cells. BTK plays key roles in multiple cell signaling pathways including BCR and FcR signaling cascades. Mutations in the human BTK gene cause the inherited disease X-linked agammaglobulinemia (XLA), with lack of peripheral B cells and low levels of serum Ig. In XLA, the primary immune deficit is B cell specific. In fact Rituxan, a CD20 antibody, has impacted B cells on the pathogenesis of many autoimmune diseases, such as RA, SLE, and MS. This has fueled interest by multiple pharmaceutical companies in pursuing small molecule BTK inhibitors in the treatment of autoimmune diseases. Likewise, there is also interest in the development of BTK inhibitors for the treatment of hematological malignancies, as aberrant activating BTK has been implicated in the pathogenesis of B cell lymphoma. Detailed reviews and articles on BTK biology and its therapeutic potentials have been reported. Kinase selectivity is a central issue in discovering efficacious and safe small molecule inhibitors for kinase targets, especially for non-life-threatening diseases such as RA. To prevent adverse toxicological events caused by immunological responses, the pharmaceutical industry has largely focused its small molecule drug discovery efforts on agents that interact noncovalently with their target proteins. This strategy has been followed despite numerous examples of marketed drugs with target-specific covalent mode-of-action. In the case of protein kinase targets for which selectivity and efficacy pose major challenges for noncovalent inhibitors, targeted covalent inhibition has provided an attractive alternative. Both approaches, noncovalent and covalent inhibition of protein kinases, benefit tremendously from high resolution structural information from protein crystal structures. This article will review BTK structural biology with a focus on design features for selective BTK inhibitors. We first summarize the publically available structural information on the BTK kinase domain. Then we will provide a brief summary and analysis with key SAR information for the most potent inhibitors reported for the chemical classes that have been disclosed in patents and publications. When available, preclinical and clinical data for advanced compounds will be summarized.


Journal of Pharmacology and Experimental Therapeutics | 2008

Pamapimod, a Novel p38 Mitogen-Activated Protein Kinase Inhibitor: Preclinical Analysis of Efficacy and Selectivity

Ronald J. Hill; Karim Dabbagh; Deborah Phippard; Ching Li; Rebecca T. Suttmann; Mary Welch; Eva Papp; Kyung W. Song; Kung-ching Chang; David Leaffer; Yong-Nam Kim; Richard T. Roberts; Tanja S. Zabka; Dee Aud; Joseph Dal Porto; Anthony M. Manning; Stanford L. Peng; David Michael Goldstein; Brian Wong

P38α is a protein kinase that regulates the expression of inflammatory cytokines, suggesting a role in the pathogenesis of diseases such as rheumatoid arthritis (RA) or systemic lupus erythematosus. Here, we describe the preclinical pharmacology of pamapimod, a novel p38 mitogen-activated protein kinase inhibitor. Pamapimod inhibited p38α and p38β enzymatic activity, with IC50 values of 0.014 ± 0.002 and 0.48 ± 0.04 μM, respectively. There was no activity against p38δ or p38γ isoforms. When profiled across 350 kinases, pamapimod bound only to four kinases in addition to p38. Cellular potency was assessed using phosphorylation of heat shock protein-27 and c-Jun as selective readouts for p38 and c-Jun NH2-terminal kinase (JNK), respectively. Pamapimod inhibited p38 (IC50, 0.06 μM), but inhibition of JNK was not detected. Pamapimod also inhibited lipopolysaccharide (LPS)-stimulated tumor necrosis factor (TNF) α production by monocytes, interleukin (IL)-1β production in human whole blood, and spontaneous TNFα production by synovial explants from RA patients. LPS- and TNFα-stimulated production of TNFα and IL-6 in rodents also was inhibited by pamapimod. In murine collagen-induced arthritis, pamapimod reduced clinical signs of inflammation and bone loss at 50 mg/kg or greater. In a rat model of hyperalgesia, pamapimod increased tolerance to pressure in a dose-dependent manner, suggesting an important role of p38 in pain associated with inflammation. Finally, an analog of pamapimod that has equivalent potency and selectivity inhibited renal disease in lupus-prone MRL/lpr mice. Our study demonstrates that pamapimod is a potent, selective inhibitor of p38α with the ability to inhibit the signs and symptoms of RA and other autoimmune diseases.


Journal of Medicinal Chemistry | 2012

Discovery of Novel PI3-Kinase δ Specific Inhibitors for the Treatment of Rheumatoid Arthritis: Taming CYP3A4 Time-Dependent Inhibition

Brian Safina; Stewart Baker; Matt Baumgardner; Paul M. Blaney; Bryan K. Chan; Yung-Hsiang Chen; Matthew W. Cartwright; Georgette Castanedo; Christine Chabot; Arnaud J. Cheguillaume; Paul Goldsmith; David Michael Goldstein; Bindu Goyal; Timothy Colin Hancox; Raj K. Handa; Pravin S. Iyer; Jasmit Kaur; Rama K. Kondru; Jane R. Kenny; Sussie Lerche Krintel; Jun Li; John D. Lesnick; Matthew C. Lucas; Cristina Lewis; Sophie Mukadam; Jeremy Murray; Alan John Nadin; Jim Nonomiya; Fernando Padilla; Wylie Solang Palmer

PI3Kδ is a lipid kinase and a member of a larger family of enzymes, PI3K class IA(α, β, δ) and IB (γ), which catalyze the phosphorylation of PIP2 to PIP3. PI3Kδ is mainly expressed in leukocytes, where it plays a critical, nonredundant role in B cell receptor mediated signaling and provides an attractive opportunity to treat diseases where B cell activity is essential, e.g., rheumatoid arthritis. We report the discovery of novel, potent, and selective PI3Kδ inhibitors and describe a structural hypothesis for isoform (α, β, γ) selectivity gained from interactions in the affinity pocket. The critical component of our initial pharmacophore for isoform selectivity was strongly associated with CYP3A4 time-dependent inhibition (TDI). We describe a variety of strategies and methods for monitoring and attenuating TDI. Ultimately, a structure-based design approach was employed to identify a suitable structural replacement for further optimization.


Journal of Medicinal Chemistry | 2015

Structure-Based Drug Design of RN486, a Potent and Selective Bruton's Tyrosine Kinase (BTK) Inhibitor, for the Treatment of Rheumatoid Arthritis.

Yan Lou; Xiaochun Han; Andreas Kuglstatter; Rama K. Kondru; Zachary Kevin Sweeney; Michael Soth; Joel McIntosh; Renee Litman; Judy M. Suh; Buelent Kocer; Dana E. Davis; Jaehyeon Park; Sandra Frauchiger; Nolan James Dewdney; Hasim Zecic; Joshua Paul Gergely Taygerly; Keshab Sarma; Junbae Hong; Ronald J. Hill; Tobias Gabriel; David Michael Goldstein; Timothy D. Owens

Structure-based drug design was used to guide the optimization of a series of selective BTK inhibitors as potential treatments for Rheumatoid arthritis. Highlights include the introduction of a benzyl alcohol group and a fluorine substitution, each of which resulted in over 10-fold increase in activity. Concurrent optimization of drug-like properties led to compound 1 (RN486) ( J. Pharmacol. Exp. Ther. 2012 , 341 , 90 ), which was selected for advanced preclinical characterization based on its favorable properties.


Journal of Medicinal Chemistry | 2012

Potent and highly selective benzimidazole inhibitors of PI3-kinase delta.

Jeremy Murray; Zachary Kevin Sweeney; Bryan K. Chan; Mercedesz Balazs; Erin K. Bradley; Georgette Castanedo; Christine Chabot; David Chantry; Michael Flagella; David Michael Goldstein; Rama K. Kondru; John D. Lesnick; Jun Li; Matthew C. Lucas; Jim Nonomiya; Jodie Pang; Stephen Price; Laurent Salphati; Brian Safina; Pascal Savy; Eileen Mary Seward; Mark Ultsch; Daniel P. Sutherlin

Inhibition of PI3Kδ is considered to be an attractive mechanism for the treatment of inflammatory diseases and leukocyte malignancies. Using a structure-based design approach, we have identified a series of potent and selective benzimidazole-based inhibitors of PI3Kδ. These inhibitors do not occupy the selectivity pocket between Trp760 and Met752 that is induced by other families of PI3Kδ inhibitors. Instead, the selectivity of the compounds for inhibition of PI3Kδ relative to other PI3K isoforms appears to be due primarily to the strong interactions these inhibitors are able to make with Trp760 in the PI3Kδ binding pocket. The pharmacokinetic properties and the ability of compound 5 to inhibit the function of B-cells in vivo are described.


PLOS Computational Biology | 2009

Identification of a Kinase Profile that Predicts Chromosome Damage Induced by Small Molecule Kinase Inhibitors

Andrew J. Olaharski; Nina Gonzaludo; Hans Bitter; David Michael Goldstein; Stephan Kirchner; Hirdesh Uppal; Kyle L. Kolaja

Kinases are heavily pursued pharmaceutical targets because of their mechanistic role in many diseases. Small molecule kinase inhibitors (SMKIs) are a compound class that includes marketed drugs and compounds in various stages of drug development. While effective, many SMKIs have been associated with toxicity including chromosomal damage. Screening for kinase-mediated toxicity as early as possible is crucial, as is a better understanding of how off-target kinase inhibition may give rise to chromosomal damage. To that end, we employed a competitive binding assay and an analytical method to predict the toxicity of SMKIs. Specifically, we developed a model based on the binding affinity of SMKIs to a panel of kinases to predict whether a compound tests positive for chromosome damage. As training data, we used the binding affinity of 113 SMKIs against a representative subset of all kinases (290 kinases), yielding a 113×290 data matrix. Additionally, these 113 SMKIs were tested for genotoxicity in an in vitro micronucleus test (MNT). Among a variety of models from our analytical toolbox, we selected using cross-validation a combination of feature selection and pattern recognition techniques: Kolmogorov-Smirnov/T-test hybrid as a univariate filter, followed by Random Forests for feature selection and Support Vector Machines (SVM) for pattern recognition. Feature selection identified 21 kinases predictive of MNT. Using the corresponding binding affinities, the SVM could accurately predict MNT results with 85% accuracy (68% sensitivity, 91% specificity). This indicates that kinase inhibition profiles are predictive of SMKI genotoxicity. While in vitro testing is required for regulatory review, our analysis identified a fast and cost-efficient method for screening out compounds earlier in drug development. Equally important, by identifying a panel of kinases predictive of genotoxicity, we provide medicinal chemists a set of kinases to avoid when designing compounds, thereby providing a basis for rational drug design away from genotoxicity.

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Ken A. Brameld

California Institute of Technology

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