Literature DB >> 7287833

Computer-aided selection of compounds for antitumor screening: validation of a statistical-heuristic method.

L Hodes.   

Abstract

Recent work helped confirm the validity of a previously published statistical-heuristic method for selecting compounds to be processed in the National Cancer Institute (NCI) mouse tumor prescreen. One study involved about 35 000 compounds which satisfied certain biological and chemical criteria. These compounds, taken from the NCI collection, were ranked according to predicted probability of activity. The results showed 34% of the active compounds in the top 10% of the ranking. In a second study the predictive ability of a chemist and the computer were compared by having each rate almost 1000 previously unselected compounds for activity. The results were about equal with respect to the yield of biologically active compounds, though their selection agreement was fairly low.

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Year:  1981        PMID: 7287833     DOI: 10.1021/ci00031a003

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  3 in total

Review 1.  Evaluation of machine-learning methods for ligand-based virtual screening.

Authors:  Beining Chen; Robert F Harrison; George Papadatos; Peter Willett; David J Wood; Xiao Qing Lewell; Paulette Greenidge; Nikolaus Stiefl
Journal:  J Comput Aided Mol Des       Date:  2007-01-05       Impact factor: 3.686

Review 2.  Computer-assisted studies of molecular structure and genotoxic activity by pattern recognition techniques.

Authors:  T R Stouch; P C Jurs
Journal:  Environ Health Perspect       Date:  1985-09       Impact factor: 9.031

Review 3.  Substructural QSAR approaches and topological pharmacophores.

Authors:  R Franke; S Huebel; W J Streich
Journal:  Environ Health Perspect       Date:  1985-09       Impact factor: 9.031

  3 in total

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