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Medicinal chemistry / Drug discovery / Cheminformatics / Pharmacology / High-throughput screening / Chemical database / Chemical compound / Chemical substance / Partition coefficient / Pharmaceutical sciences / Science / Chemistry


NISS A Sequential Approach for Identifying Lead Compounds in Large Chemical Databases Markus Abt, Yong Bin Lim, Jerome Sacks, Minge Xie, and S. Stanley Young
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Document Date: 2004-01-21 15:20:08


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City

Triangle Park / Piscataway / Formal Inference / Basel / /

Company

GlaxoWellcome Inc. / mann-La Roche AG / /

Country

Switzerland / Korea / /

Facility

Rutgers University / National Institute of Statistical Sciences / Ewha Womans University / /

IndustryTerm

sequential search schemes / potent chemicals / chemical features / sequential search scheme / Corporate chemical databases / data mining / chemical compounds / recursive partitioning algorithm / exible tool / sequential search / chemical classes / chemical structure / chemical structures / /

Organization

National Science Foundation / Rutgers University / Department of Statistics / Ewha Womans University / Seoul / National Institute of Statistical Sciences / /

Person

S. Stanley Young / Jerome Sacks / M. Xie / Y.B. Lim / Yong Bin Lim / /

Position

Professor / Principal Consultant / Assistant Professor / medicinal chemist / /

ProvinceOrState

New Jersey / North Carolina / /

Technology

Combinatorial chemistry / recursive partitioning algorithm / drug discovery / data mining / /

URL

www.niss.org / /

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