排序方式: 共有42条查询结果,搜索用时 218 毫秒
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Purandare AV Wan H Laing N Benbatoul K Vaccaro W Poss MA 《Bioorganic & medicinal chemistry letters》2004,14(18):4701-4704
Synthesis and in vitro characterization of novel, lactam boronic acid based, selective, and rapidly reversible inhibitor 14 of the 20S-proteasome is presented. 相似文献
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Purandare AV Wan H Somerville JE Burke C Vaccaro W Yang X McIntyre KW Poss MA 《Bioorganic & medicinal chemistry letters》2007,17(3):679-682
The design, synthesis, and SAR studies of 'core' variations led to identification of novel, selective, and potent small molecule antagonist (22) of the CC chemokine receptor-4 (CCR4) with improved in vitro activity and liability profile. Compound 22 was efficacious in a murine allergic inflammation model (ED50 approximately 10 mg/kg). 相似文献
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Purandare AV Chen Z Huynh T Pang S Geng J Vaccaro W Poss MA Oconnell J Nowak K Jayaraman L 《Bioorganic & medicinal chemistry letters》2008,18(15):4438-4441
This study reports the identification and Hits to Leads optimization of inhibitors of coactivator associated arginine methyltransferase (CARM1). Compound 7b is a potent, selective inhibitor of CARM1. 相似文献
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Tram Huynh Zhong Chen Suhong Pang Jieping Geng Tiziano Bandiera Simona Bindi Paola Vianello Fulvia Roletto Sandrine Thieffine Arturo Galvani Wayne Vaccaro Michael A. Poss George L. Trainor Matthew V. Lorenzi Marco Gottardis Lata Jayaraman Ashok V. Purandare 《Bioorganic & medicinal chemistry letters》2009,19(11):2924-2927
Design, synthesis, and SAR development led to the identification of the potent, novel, and selective pyrazole based inhibitor (7f) of Coactivator Associated Arginine Methyltransferase (CARM1). 相似文献
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Purandare AV Wan H Gao A Somerville J Burke C Vaccaro W Yang X McIntyre KW Poss MA 《Bioorganic & medicinal chemistry letters》2006,16(1):204-207
The design, synthesis, and activity of novel and selective small molecule antagonists of the CC chemokine receptor-4 (CCR4) are presented. Compound 8c was efficacious in a murine allergic inflammation model (ED(50) 30 mg/kg). 相似文献
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Zhengyu Yang Yufeng Wang Janki Bhamini Chiu C. Tan Ningfang Mi 《Cluster computing》2018,21(3):1561-1579
The popularity of Big Data applications places pressures on storage systems to efficiently scale to meet the demand. At the same time, new developments like solid-state drives have changed to traditional storage hierarchy. Cloud storage systems are transitioning towards a hybrid architecture consisting of large amounts of memory, solid-state disks (SSDs), and traditional magnetic hard disks (HD). This paper presents elasticity aware deduplication (EAD), a data deduplication framework designed for multi-tier cloud storage architectures consisting of SSD and HD. EAD dynamically adjusts the deduplication parameters at runtime in order to improve performance. Experimental results indicate that EAD is able to detect more than 98% of all duplicate data, but it only consumes less than 5% of expected memory space. Additionally, EAD saves approximately 74% of overall IO access cost compared to the traditional design. 相似文献