Methods for mining HTS data

被引：38

作者：

Harper, Gavin ^{[1
]}

Pickett, Stephen D. ^{[1
]}

机构：

[1] GSK, Stevenage SG1 2NY, Herts, England

来源：

DRUG DISCOVERY TODAY | 2006年 / 11卷 / 15-16期

关键词：

D O I：

10.1016/j.drudis.2006.06.006

中图分类号：

R9 [药学];

学科分类号：

1007 ;

摘要：

Data mining is a fast-growing field that is finding application across a wide range of industries. HTS is a crucial part of the drug discovery process at most large pharmaceutical companies. Accurate analysis of HTS data is, therefore, vital to drug discovery. Given the large quantity of data generated during an HTS, and the importance of analyzing those data effectively, it is unsurprising that data-mining techniques are now increasingly applied to HTS data analysis. Taking a broad view of both the HTS process and the data-mining process, we review recent literature that describes the application of data-mining techniques to HTS data.

引用

页码：694 / 699

页数：6

共 56 条

[1]

Alanine A, 2003, COMB CHEM HIGH T SCR, V6, P51

[2]

[Anonymous], 2004, KERNEL METHODS PATTE

[3]

[Anonymous], DATA MINING BIOINFOR

[4] Molecular similarity searching using atom environments, information-based feature selection, and a naive Bayesian classifier [J].

Bender, A ;

Mussa, HY ;

Glen, RC ;

Reiling, S .

JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 2004, 44 (01) :170-178

[5]

Berry MichaelJ., 1997, DATA MINING TECHNIQU

[6] Hit and lead generation:: Beyond high-throughput screening [J].

Bleicher, KH ;

Böhm, HJ ;

Müller, K ;

Alanine, AI .

NATURE REVIEWS DRUG DISCOVERY, 2003, 2 (05) :369-378

[7] Improved statistical methods for hit selection in high-throughput screening [J].

Brideau, C ;

Gunter, B ;

Pikounis, B ;

Liaw, A .

JOURNAL OF BIOMOLECULAR SCREENING, 2003, 8 (06) :634-647

[8] Drug design by machine learning: support vector machines for pharmaceutical data analysis [J].

Burbidge, R ;

Trotter, M ;

Buxton, B ;

Holden, S .

COMPUTERS & CHEMISTRY, 2001, 26 (01) :5-14

[9] Comparison of support vector machine and artificial neural network systems for drug/nondrug classification [J].

Byvatov, E ;

Fechner, U ;

Sadowski, J ;

Schneider, G .

JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 2003, 43 (06) :1882-1889

[10]

Comess KM, 2004, CURR OPIN DRUG DISC, V7, P411

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