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Featured researches published by Ajit Jadhav.


Science Translational Medicine | 2011

The NCGC Pharmaceutical Collection: A comprehensive resource of clinically approved drugs enabling repurposing and chemical genomics

Ruili Huang; Noel Southall; Yuhong Wang; Adam Yasgar; Paul Shinn; Ajit Jadhav; Dac-Trung Nguyen; Christopher P. Austin

Resources from the National Institutes of Health Chemical Genomics Center include a database and a physical collection of approved drugs. Small-molecule compounds approved for use as drugs may be “repurposed” for new indications and studied to determine the mechanisms of their beneficial and adverse effects. A comprehensive collection of all small-molecule drugs approved for human use would be invaluable for systematic repurposing across human diseases, particularly for rare and neglected diseases, for which the cost and time required for development of a new chemical entity are often prohibitive. Previous efforts to build such a comprehensive collection have been limited by the complexities, redundancies, and semantic inconsistencies of drug naming within and among regulatory agencies worldwide; a lack of clear conceptualization of what constitutes a drug; and a lack of access to physical samples. We report here the creation of a definitive, complete, and nonredundant list of all approved molecular entities as a freely available electronic resource and a physical collection of small molecules amenable to high-throughput screening.


Environmental Health Perspectives | 2007

Compound Cytotoxicity Profiling Using Quantitative High-Throughput Screening

Menghang Xia; Ruili Huang; Kristine L. Witt; Noel Southall; Jennifer Fostel; Ming-Hsuang Cho; Ajit Jadhav; Cynthia S. Smith; James Inglese; Christopher J. Portier; Raymond R. Tice; Christopher P. Austin

Background The propensity of compounds to produce adverse health effects in humans is generally evaluated using animal-based test methods. Such methods can be relatively expensive, low-throughput, and associated with pain suffered by the treated animals. In addition, differences in species biology may confound extrapolation to human health effects. Objective The National Toxicology Program and the National Institutes of Health Chemical Genomics Center are collaborating to identify a battery of cell-based screens to prioritize compounds for further toxicologic evaluation. Methods A collection of 1,408 compounds previously tested in one or more traditional toxicologic assays were profiled for cytotoxicity using quantitative high-throughput screening (qHTS) in 13 human and rodent cell types derived from six common targets of xenobiotic toxicity (liver, blood, kidney, nerve, lung, skin). Selected cytotoxicants were further tested to define response kinetics. Results qHTS of these compounds produced robust and reproducible results, which allowed cross-compound, cross-cell type, and cross-species comparisons. Some compounds were cytotoxic to all cell types at similar concentrations, whereas others exhibited species- or cell type–specific cytotoxicity. Closely related cell types and analogous cell types in human and rodent frequently showed different patterns of cytotoxicity. Some compounds inducing similar levels of cytotoxicity showed distinct time dependence in kinetic studies, consistent with known mechanisms of toxicity. Conclusions The generation of high-quality cytotoxicity data on this large library of known compounds using qHTS demonstrates the potential of this methodology to profile a much broader array of assays and compounds, which, in aggregate, may be valuable for prioritizing compounds for further toxicologic evaluation, identifying compounds with particular mechanisms of action, and potentially predicting in vivo biological response.


Proceedings of the National Academy of Sciences of the United States of America | 2014

High-throughput combinatorial screening identifies drugs that cooperate with ibrutinib to kill activated B-cell-like diffuse large B-cell lymphoma cells.

Lesley A. Mathews Griner; Rajarshi Guha; Paul Shinn; Ryan M. Young; Jonathan M. Keller; Dongbo Liu; Ian S. Goldlust; Adam Yasgar; Crystal McKnight; Matthew B. Boxer; Damien Y. Duveau; Jian-kang Jiang; Sam Michael; Tim Mierzwa; Wenwei Huang; Martin J. Walsh; Bryan T. Mott; Paresma R. Patel; William Leister; David J. Maloney; Christopher A. LeClair; Ganesha Rai; Ajit Jadhav; Brian D. Peyser; Christopher P. Austin; Scott E. Martin; Anton Simeonov; Marc Ferrer; Louis M. Staudt; Craig J. Thomas

Significance The treatment of cancer is highly reliant on drug combinations. Next-generation, targeted therapeutics are demonstrating interesting single-agent activities in clinical trials; however, the discovery of companion drugs through iterative clinical trial-and-error is not a tenable mechanism to prioritize clinically important combinations for these agents. Herein we describe the results of a large, high-throughput combination screen of the Bruton’s tyrosine kinase inhibitor ibrutinib versus a library of nearly 500 approved and investigational drugs. Multiple ibrutinib combinations were discovered through this study that can be prioritized for clinical examination. The clinical development of drug combinations is typically achieved through trial-and-error or via insight gained through a detailed molecular understanding of dysregulated signaling pathways in a specific cancer type. Unbiased small-molecule combination (matrix) screening represents a high-throughput means to explore hundreds and even thousands of drug–drug pairs for potential investigation and translation. Here, we describe a high-throughput screening platform capable of testing compounds in pairwise matrix blocks for the rapid and systematic identification of synergistic, additive, and antagonistic drug combinations. We use this platform to define potential therapeutic combinations for the activated B-cell–like subtype (ABC) of diffuse large B-cell lymphoma (DLBCL). We identify drugs with synergy, additivity, and antagonism with the Bruton’s tyrosine kinase inhibitor ibrutinib, which targets the chronic active B-cell receptor signaling that characterizes ABC DLBCL. Ibrutinib interacted favorably with a wide range of compounds, including inhibitors of the PI3K-AKT-mammalian target of rapamycin signaling cascade, other B-cell receptor pathway inhibitors, Bcl-2 family inhibitors, and several components of chemotherapy that is the standard of care for DLBCL.


PLOS ONE | 2010

Quantitative high-throughput screening identifies 8-hydroxyquinolines as cell-active histone demethylase inhibitors.

Oliver N. King; Xuan Shirley Li; Masaaki Sakurai; Akane Kawamura; Nathan R. Rose; Stanley S. Ng; Amy Quinn; Ganesha Rai; Bryan T. Mott; Paul Beswick; Robert J. Klose; U. Oppermann; Ajit Jadhav; Tom D. Heightman; David J. Maloney; Christopher J. Schofield; Anton Simeonov

BACKGROUND Small molecule modulators of epigenetic processes are currently sought as basic probes for biochemical mechanisms, and as starting points for development of therapeutic agents. N(ε)-Methylation of lysine residues on histone tails is one of a number of post-translational modifications that together enable transcriptional regulation. Histone lysine demethylases antagonize the action of histone methyltransferases in a site- and methylation state-specific manner. N(ε)-Methyllysine demethylases that use 2-oxoglutarate as co-factor are associated with diverse human diseases, including cancer, inflammation and X-linked mental retardation; they are proposed as targets for the therapeutic modulation of transcription. There are few reports on the identification of templates that are amenable to development as potent inhibitors in vivo and large diverse collections have yet to be exploited for the discovery of demethylase inhibitors. PRINCIPAL FINDINGS High-throughput screening of a ∼236,000-member collection of diverse molecules arrayed as dilution series was used to identify inhibitors of the JMJD2 (KDM4) family of 2-oxoglutarate-dependent histone demethylases. Initial screening hits were prioritized by a combination of cheminformatics, counterscreening using a coupled assay enzyme, and orthogonal confirmatory detection of inhibition by mass spectrometric assays. Follow-up studies were carried out on one of the series identified, 8-hydroxyquinolines, which were shown by crystallographic analyses to inhibit by binding to the active site Fe(II) and to modulate demethylation at the H3K9 locus in a cell-based assay. CONCLUSIONS These studies demonstrate that diverse compound screening can yield novel inhibitors of 2OG dependent histone demethylases and provide starting points for the development of potent and selective agents to interrogate epigenetic regulation.


Journal of Medicinal Chemistry | 2009

Discovery of a 2,4-diamino-7-aminoalkoxyquinazoline as a potent and selective inhibitor of histone lysine methyltransferase G9a.

Feng Liu; Xin Chen; Abdellah Allali-Hassani; Amy Quinn; Gregory A. Wasney; Aiping Dong; Dalia Barsyte; Ivona Kozieradzki; Guillermo Senisterra; Irene Chau; Alena Siarheyeva; Dmitri Kireev; Ajit Jadhav; J. Martin Herold; Stephen V. Frye; C.H. Arrowsmith; Peter J. Brown; Anton Simeonov; Masoud Vedadi; Jian Jin

SAR exploration of the 2,4-diamino-6,7-dimethoxyquinazoline template led to the discovery of 8 (UNC0224) as a potent and selective G9a inhibitor. A high resolution X-ray crystal structure of the G9a-8 complex, the first cocrystal structure of G9a with a small molecule inhibitor, was obtained. The cocrystal structure validated our binding hypothesis and will enable structure-based design of novel inhibitors. 8 is a useful tool for investigating the biology of G9a and its roles in chromatin remodeling.


Journal of Medicinal Chemistry | 2008

Fluorescence Spectroscopic Profiling of Compound Libraries

Anton Simeonov; Ajit Jadhav; Craig J. Thomas; Yuhong Wang; Ruili Huang; Noel Southall; Paul Shinn; Jeremy C. Smith; Christopher P. Austin; Douglas S. Auld; James Inglese

Chromo/fluorophoric properties often accompany the heterocyclic scaffolds and impurities that comprise libraries used for high-throughput screening (HTS). These properties affect assay outputs obtained with optical detection, thus complicating analysis and leading to false positives and negatives. Here, we report the fluorescence profile of more than 70,000 samples across spectral regions commonly utilized in HTS. The quantitative HTS paradigm was utilized to test each sample at seven or more concentrations over a 4-log range in 1,536-well format. Raw fluorescence was compared with fluorophore standards to compute a normalized response as a function of concentration and spectral region. More than 5% of library members were brighter than the equivalent of 10 nM 4-methyl umbelliferone, a common UV-active probe. Red-shifting the spectral window by as little as 100 nm was accompanied by a dramatic decrease in autofluorescence. Native compound fluorescence, fluorescent impurities, novel fluorescent compounds, and the utilization of fluorescence profiling data are discussed.


Journal of Medicinal Chemistry | 2010

Quantitative Analyses of Aggregation, Autofluorescence, and Reactivity Artifacts in a Screen for Inhibitors of a Thiol Protease

Ajit Jadhav; Rafaela Salgado Ferreira; Carleen Klumpp; Bryan T. Mott; Christopher P. Austin; James Inglese; Craig J. Thomas; David J. Maloney; Brian K. Shoichet; Anton Simeonov

The perceived and actual burden of false positives in high-throughput screening has received considerable attention; however, few studies exist on the contributions of distinct mechanisms of nonspecific effects like chemical reactivity, assay signal interference, and colloidal aggregation. Here, we analyze the outcome of a screen of 197861 diverse compounds in a concentration-response format against the cysteine protease cruzain, a target expected to be particularly sensitive to reactive compounds, and using an assay format with light detection in the short-wavelength region where significant compound autofluorescence is typically encountered. Approximately 1.9% of all compounds screened were detergent-sensitive inhibitors. The contribution from autofluorescence and compounds bearing reactive functionalities was dramatically lower: of all hits, only 1.8% were autofluorescent and 1.5% contained reactive or undesired functional groups. The distribution of false positives was relatively constant across library sources. The simple step of including detergent in the assay buffer suppressed the nonspecific effect of approximately 93% of the original hits.


Journal of Medicinal Chemistry | 2010

Protein Lysine Methyltransferase G9a Inhibitors: Design, Synthesis, and Structure Activity Relationships of 2,4-Diamino-7-aminoalkoxy-quinazolines.

Feng Liu; Xin Chen; Abdellah Allali-Hassani; Amy Quinn; Tim J. Wigle; Gregory A. Wasney; Aiping Dong; Guillermo Senisterra; Irene Chau; Alena Siarheyeva; Jacqueline L. Norris; Dmitri Kireev; Ajit Jadhav; J. Martin Herold; William P. Janzen; C.H. Arrowsmith; Stephen V. Frye; Peter J. Brown; Anton Simeonov; Masoud Vedadi; Jian Jin

Protein lysine methyltransferase G9a, which catalyzes methylation of lysine 9 of histone H3 (H3K9) and lysine 373 (K373) of p53, is overexpressed in human cancers. Genetic knockdown of G9a inhibits cancer cell growth, and the dimethylation of p53 K373 results in the inactivation of p53. Initial SAR exploration of the 2,4-diamino-6,7-dimethoxyquinazoline template represented by 3a (BIX01294), a selective small molecule inhibitor of G9a and GLP, led to the discovery of 10 (UNC0224) as a potent G9a inhibitor with excellent selectivity. A high resolution X-ray crystal structure of the G9a-10 complex, the first cocrystal structure of G9a with a small molecule inhibitor, was obtained. On the basis of the structural insights revealed by this cocrystal structure, optimization of the 7-dimethylaminopropoxy side chain of 10 resulted in the discovery of 29 (UNC0321) (Morrison K(i) = 63 pM), which is the first G9a inhibitor with picomolar potency and the most potent G9a inhibitor to date.


Nature | 2015

Drug-based modulation of endogenous stem cells promotes functional remyelination in vivo

Fadi J. Najm; Mayur Madhavan; Anita Zaremba; Elizabeth Shick; Robert T. Karl; Daniel C. Factor; Tyler E. Miller; Zachary S. Nevin; Christopher Kantor; Alex Sargent; Kevin L. Quick; Daniela Schlatzer; Hong Tang; Ruben Papoian; Kyle R. Brimacombe; Min Shen; Matthew B. Boxer; Ajit Jadhav; Andrew P. Robinson; Joseph R. Podojil; Stephen D. Miller; Robert H. Miller; Paul J. Tesar

Multiple sclerosis involves an aberrant autoimmune response and progressive failure of remyelination in the central nervous system. Prevention of neural degeneration and subsequent disability requires remyelination through the generation of new oligodendrocytes, but current treatments exclusively target the immune system. Oligodendrocyte progenitor cells are stem cells in the central nervous system and the principal source of myelinating oligodendrocytes. These cells are abundant in demyelinated regions of patients with multiple sclerosis, yet fail to differentiate, thereby representing a cellular target for pharmacological intervention. To discover therapeutic compounds for enhancing myelination from endogenous oligodendrocyte progenitor cells, we screened a library of bioactive small molecules on mouse pluripotent epiblast stem-cell-derived oligodendrocyte progenitor cells. Here we show seven drugs function at nanomolar doses selectively to enhance the generation of mature oligodendrocytes from progenitor cells in vitro. Two drugs, miconazole and clobetasol, are effective in promoting precocious myelination in organotypic cerebellar slice cultures, and in vivo in early postnatal mouse pups. Systemic delivery of each of the two drugs significantly increases the number of new oligodendrocytes and enhances remyelination in a lysolecithin-induced mouse model of focal demyelination. Administering each of the two drugs at the peak of disease in an experimental autoimmune encephalomyelitis mouse model of chronic progressive multiple sclerosis results in striking reversal of disease severity. Immune response assays show that miconazole functions directly as a remyelinating drug with no effect on the immune system, whereas clobetasol is a potent immunosuppressant as well as a remyelinating agent. Mechanistic studies show that miconazole and clobetasol function in oligodendrocyte progenitor cells through mitogen-activated protein kinase and glucocorticoid receptor signalling, respectively. Furthermore, both drugs enhance the generation of human oligodendrocytes from human oligodendrocyte progenitor cells in vitro. Collectively, our results provide a rationale for testing miconazole and clobetasol, or structurally modified derivatives, to enhance remyelination in patients.


Journal of Medicinal Chemistry | 2008

Characterization of Chemical Libraries for Luciferase Inhibitory Activity

Douglas S. Auld; Noel Southall; Ajit Jadhav; Ronald L Johnson; David J. Diller; Anton Simeonov; Christopher P. Austin; James Inglese

To aid in the interpretation of high-throughput screening (HTS) results derived from luciferase-based assays, we used quantitative HTS, an approach that defines the concentration-response behavior of each library sample, to profile the ATP-dependent luciferase from Photinus pyralis against more than 70,000 samples. We found that approximately 3% of the library was active, containing only compounds with inhibitory concentration-responses, of which 681 (0.9%) exhibited IC 50 < 10 microM. Representative compounds were shown to inhibit purified P. pyralis as well as several commercial luciferase-based detection reagents but were found to be largely inactive against Renilla reniformis luciferase. Light attenuation by the samples was also examined and found to be more prominent in the blue-shifted bioluminescence produced by R. reniformis luciferase than in the bioluminescence produced by P. pyralis luciferase. We describe the structure-activity relationship of the luciferase inhibitors and discuss the use of this data in the interpretation of HTS results and configuration of luciferase-based assays.

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Anton Simeonov

National Institutes of Health

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David J. Maloney

National Institutes of Health

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Ganesha Rai

National Institutes of Health

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Christopher P. Austin

National Institutes of Health

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Adam Yasgar

National Institutes of Health

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James Inglese

National Institutes of Health

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Craig J. Thomas

National Institutes of Health

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Thomas S. Dexheimer

National Institutes of Health

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Bryan T. Mott

National Institutes of Health

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