4 Papers
Kabir is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Cytotoxicity & Solubility. The author has an hindex of 4, co-authored 4 publications. Previous affiliations of Kabir include Icahn School of Medicine at Mount Sinai.
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Papers
Design, Synthesis, and Biological Evaluation of Quinazolin-4-one-Based Hydroxamic Acids as Dual PI3K/HDAC Inhibitors.
Ashish Thakur,Gregory J. Tawa,Mark J. Henderson,Carina Danchik,Suiyang Liu,Pranav Shah,Amy Wang,Garrett Dunn,Kabir,Elias C. Padilha,Xin Xu,Anton Simeonov,Surender Kharbanda,Richard Stone,Gurmit Grewal +14 more
TL;DR: The lead compound 48c, induced necrosis in several mutant and FLT3-resistant AML cell lines and primary blasts from AML patients, while showing no cytotoxicity against normal PBMCs, NIH3T3 and HEK293 cells.
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Pyrazole-Based Lactate Dehydrogenase Inhibitors with Optimized Cell Activity and Pharmacokinetic Properties.
Ganesha Rai,Daniel J. Urban,Bryan T. Mott,Xin Hu,Shyh-Ming Yang,Gloria A. Benavides,Michelle S. Johnson,Giuseppe L. Squadrito,Kyle R. Brimacombe,Tobie D. Lee,Dorian M. Cheff,Hu Zhu,Mark J. Henderson,Katherine Pohida,Gary A. Sulikowski,David M. Dranow,Kabir,Pranav Shah,Elias C. Padilha,Dingyin Tao,Yuhong Fang,Plamen P. Christov,Kwangho Kim,Somnath Jana,Pavan Muttil,Tamara Anderson,Nitesh K. Kunda,Helen J. Hathaway,Donna F. Kusewitt,Nobu Oshima,Murali Cherukuri,Douglas R. Davies,Jeffrey P. Norenberg,Larry A. Sklar,William J. Moore,Chi V. Dang,Chi V. Dang,Gordon M. Stott,Leonard M. Neckers,Andrew J. Flint,Victor M. Darley-Usmar,Anton Simeonov,Alex G. Waterson,Ajit Jadhav,Matthew D. Hall,David J. Maloney +45 more
TL;DR: A lead optimization campaign is focused on a pyrazole-based series of compounds, using structure-based design concepts, coupled with optimization of cellular potency, in vitro drug-target residence times, and in vivo PK properties, to identify first-in-class inhibitors that demonstrate LDH inhibition in vivo.
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Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.
Vishal B. Siramshetty,Pranav Shah,Edward H. Kerns,Kimloan Nguyen,Kyeong Ri Yu,Kyeong Ri Yu,Kabir,Kabir,Jordan Williams,Jorge Neyra,Noel Southall,Ðắc-Trung Nguyễn,Xin Xu +12 more
TL;DR: This study builds the first publicly available RLM prediction model built using high-quality data generated at a single laboratory, and reveals inherent medicinal chemistry knowledge potentially useful to chemists in the pursuit of synthesizing metabolically stable compounds.
Predictive Models of Aqueous Solubility of Organic Compounds Built on A Large Dataset of High Integrity
TL;DR: The predictive models of aqueoussolubility can be used to identify insoluble compounds in drug discovery pipeline, provide design ideas for improving solubility by analyzing the atom types associated with poor solubilty and prioritize compound libraries to be purchased or synthesized.