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Scott Bowes

NIBRI Cambridge, MA
Scott.Bowes@Novartis.com

Journal articles

2008
Mia Rushe, Laura Silvian, Sarah Bixler, Ling Ling Chen, Anne Cheung, Scott Bowes, Hernan Cuervo, Steven Berkowitz, Timothy Zheng, Kevin Guckian, Maria Pellegrini, Alexey Lugovskoy (2008)  Structure of a NEMO/IKK-associating domain reveals architecture of the interaction site.   Structure 16: 5. 798-808 May  
Abstract: The phosphorylation of IkappaB by the IKK complex targets it for degradation and releases NF-kappaB for translocation into the nucleus to initiate the inflammatory response, cell proliferation, or cell differentiation. The IKK complex is composed of the catalytic IKKalpha/beta kinases and a regulatory protein, NF-kappaB essential modulator (NEMO; IKKgamma). NEMO associates with the unphosphorylated IKK kinase C termini and activates the IKK complex's catalytic activity. However, detailed structural information about the NEMO/IKK interaction is lacking. In this study, we have identified the minimal requirements for NEMO and IKK kinase association using a variety of biophysical techniques and have solved two crystal structures of the minimal NEMO/IKK kinase associating domains. We demonstrate that the NEMO core domain is a dimer that binds two IKK fragments and identify energetic hot spots that can be exploited to inhibit IKK complex formation with a therapeutic agent.
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Kai Fu, Michael J Corbley, Lihong Sun, Jessica E Friedman, Feng Shan, James L Papadatos, Donald Costa, Frank Lutterodt, Harry Sweigard, Scott Bowes, Michael Choi, P Ann Boriack-Sjodin, Robert M Arduini, Dongyu Sun, Miki N Newman, Xiamei Zhang, Jonathan N Mead, Claudio E Chuaqui, H-Kam Cheung, Xin Zhang, Mark Cornebise, Mary Beth Carter, Serene Josiah, Juswinder Singh, Wen-Cherng Lee, Alan Gill, Leona E Ling (2008)  SM16, an orally active TGF-beta type I receptor inhibitor prevents myofibroblast induction and vascular fibrosis in the rat carotid injury model.   Arterioscler Thromb Vasc Biol 28: 4. 665-671 Apr  
Abstract: OBJECTIVE: TGF-beta plays a significant role in vascular injury-induced stenosis. This study evaluates the efficacy of a novel, small molecule inhibitor of ALK5/ALK4 kinase, in the rat carotid injury model of vascular fibrosis. METHODS AND RESULTS: The small molecule, SM16, was shown to bind with high affinity to ALK5 kinase ATP binding site using a competitive binding assay and biacore analysis. SM16 blocked TGF-beta and activin-induced Smad2/3 phosphorylation and TGF-beta-induced plasminogen activator inhibitor (PAI)-luciferase activity in cells. Good overall selectivity was demonstrated in a large panel of kinase assays, but SM16 also showed nanomolar inhibition of ALK4 and weak (micromolar) inhibition of Raf and p38. In the rat carotid injury model, SM16 dosed once daily orally at 15 or 30 mg/kg SM16 for 14 days caused significant inhibition of neointimal thickening and lumenal narrowing. SM16 also prevented induction of adventitial smooth muscle alpha-actin-positive myofibroblasts and the production of intimal collagen, but did not decrease the percentage of proliferative cells. CONCLUSIONS: These results are the first to demonstrate the efficacy of an orally active, small-molecule ALK5/ALK4 inhibitor in a vascular fibrosis model and suggest the potential therapeutic application of these inhibitors in vascular fibrosis.
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2006
Scott Bowes, Dongyu Sun, Azita Kaffashan, Chenhui Zeng, Claudio Chuaqui, Xiaoping Hronowski, Alex Buko, Xin Zhang, Serene Josiah (2006)  Quality assessment and analysis of Biogen Idec compound library.   J Biomol Screen 11: 7. 828-835 Oct  
Abstract: A subset of the compound repository for lead identification at Biogen Idec was characterized for its chemical stability over a 3-year period. Compounds were stored at 4 degrees C as 10 mM DMSO stocks, and a small subset of compounds was stored as lyophilized dry films. Compound integrity of 470 discrete compounds (Compound Set I) and 1917 combinatorial chemistry-derived compounds (Compound Set II) was evaluated by liquid chromatography/mass spectrometry from the time of acquisition into the library collection and after 3 years of storage. Loss of compound integrity over the 3 years of storage was observed across the 2 subsets tested. Of Compound Set I, 63% of samples retained > 80% purity, whereas 57% of samples from Compound Set II had purity greater than 60%. The stability of the lyophilized samples was superior to the samples stored as DMSO solution. Although storage at 4 degrees C as DMSO solution was adequate for the majority of compounds, the authors observed and quantified the level of degradation within the compound collection. Their study provides general insight into compound storage and selection of library subsets for future lead identification activities.
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Dongyu Sun, Claudio Chuaqui, Zhan Deng, Scott Bowes, Donovan Chin, Juswinder Singh, Patrick Cullen, Gretchen Hankins, Wen-Cherng Lee, Jason Donnelly, Jessica Friedman, Serene Josiah (2006)  A kinase-focused compound collection: compilation and screening strategy.   Chem Biol Drug Des 67: 6. 385-394 Jun  
Abstract: Lead identification by high-throughput screening of large compound libraries has been supplemented with virtual screening and focused compound libraries. To complement existing approaches for lead identification at Biogen Idec, a kinase-focused compound collection was designed, developed and validated. Two strategies were adopted to populate the compound collection: a ligand shape-based virtual screening and a receptor-based approach (structural interaction fingerprint). Compounds selected with the two approaches were cherry-picked from an existing high-throughput screening compound library, ordered from suppliers and supplemented with specific medicinal compounds from internal programs. Promising hits and leads have been generated from the kinase-focused compound collection against multiple kinase targets. The principle of the collection design and screening strategy was validated and the use of the kinase-focused compound collection for lead identification has been added to existing strategies.
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2005
Dongyu Sun, Adrian Whitty, James Papadatos, Miki Newman, Jason Donnelly, Scott Bowes, Serene Josiah (2005)  Adopting a practical statistical approach for evaluating assay agreement in drug discovery.   J Biomol Screen 10: 5. 508-516 Aug  
Abstract: The authors assess the equivalence of 2 assays and put forward a general approach for assay agreement analysis that can be applied during drug discovery. Data sets generated by different assays are routinely compared to each other during the process of drug discovery. For a given target, the assays used for high-throughput screening and structure-activity relationship studies will most likely differ in their assay reagents, assay conditions, and/or detection technology, which makes the interpretation of data between assays difficult, particularly as most assays are used to measure quantitative changes in compound potency against the target. To better quantify the relationship of data sets from different assays for the same target, the authors evaluated the agreement between results generated by 2 different assays that measure the activity of compounds against the same protein, ALK5. The authors show that the agreement between data sets can be quantified using correlation and Bland-Altman plots, and the precision of the assays can be used to define the expectations of agreement between 2 assays. They propose a scheme for addressing issues of assay data equivalence, which can be applied to address questions of how data sets compare during the lead identification and lead optimization processes in which assays are frequently added and changed.
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2003
Juswinder Singh, Claudio E Chuaqui, P Ann Boriack-Sjodin, Wen Cherng Lee, Timothy Pontz, Michael J Corbley, H-Kam Cheung, Robert M Arduini, Jonathan N Mead, Miki N Newman, James L Papadatos, Scott Bowes, Serene Josiah, Leona E Ling (2003)  Successful shape-based virtual screening: the discovery of a potent inhibitor of the type I TGFbeta receptor kinase (TbetaRI).   Bioorg Med Chem Lett 13: 24. 4355-4359 Dec  
Abstract: We describe the discovery, using shape-based virtual screening, of a potent, ATP site-directed inhibitor of the TbetaRI kinase, an important and novel drug target for fibrosis and cancer. The first detailed report of a TbetaRI kinase small molecule co-complex confirms the predicted binding interactions of our small molecule inhibitor, which stabilizes the inactive kinase conformation. Our results validate shape-based screening as a powerful tool to discover useful leads against a new drug target.
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