Literature DB >> 3905380

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

T R Stouch, P C Jurs.   

Abstract

Often a compound's biological activity is determined by complex relationships between its structural components. Such a relationship often can only be adequately described and exploited by multivariate structure-activity relationship (SAR) studies that can deal with many variables simultaneously. Pattern recognition (PR) is a multivariate technique that is well suited for the qualitative, active-inactive, data that is often supplied by biological assays. PR studies of compounds of known activity can yield information that will allow the prediction of the activity of untested compounds. ADAPT is a computerized system that was developed for such PR-SAR studies. A general introduction to this field is presented and the methodology used for such a study is described in the context of an actual study of mutagenic compounds. The data requirements, descriptor generation, and the details of a PR study are discussed. In addition, the example study was chosen to highlight the problems that may occur if a study is not well formulated and carefully executed. Current work and future plans for computerized mutagen screening are discussed.

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Year:  1985        PMID: 3905380      PMCID: PMC1568764          DOI: 10.1289/ehp.8561329

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  19 in total

Review 1.  Multiple pathways of DNA repair in bacteria and their roles in mutagenesis.

Authors:  K C Smith
Journal:  Photochem Photobiol       Date:  1978-08       Impact factor: 3.421

Review 2.  Regulation and function of cellular gene products involved in UV and chemical mutagenesis in E. coli.

Authors:  G C Walker; S J Elledge; K L Perry; A Bagg; C J Kenyon
Journal:  Basic Life Sci       Date:  1983

3.  Computer-assisted studies of structure-activity relationships of N-nitroso compounds using pattern recognition.

Authors:  S L Rose; P C Jurs
Journal:  J Med Chem       Date:  1982-07       Impact factor: 7.446

4.  Computer-assisted structure-activity studies of chemical carcinogens: a polycyclic aromatic hydrocarbon data set.

Authors:  M Yuan; P C Jurs
Journal:  Toxicol Appl Pharmacol       Date:  1980-02       Impact factor: 4.219

5.  The GENE-TOX program: genetic activity evaluation.

Authors:  M D Waters; A Auletta
Journal:  J Chem Inf Comput Sci       Date:  1981-02

6.  Computer-assisted studies of molecular structure and carcinogenic activity.

Authors:  P C Jurs; M N Hasan; D R Henry; T R Stouch; E K Whalen-Pedersen
Journal:  Fundam Appl Toxicol       Date:  1983 Sep-Oct

7.  Computer-assisted structure-activity studies of chemical carcinogens. Aromatic amines.

Authors:  K Yuta; P C Jurs
Journal:  J Med Chem       Date:  1981-03       Impact factor: 7.446

8.  An evaluation of the Escherichia coli WP2 and WP2 uvrA reverse mutation assay.

Authors:  D J Brusick; V F Simmon; H S Rosenkranz; V A Ray; R S Stafford
Journal:  Mutat Res       Date:  1980-09       Impact factor: 2.433

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

Authors:  L Hodes
Journal:  J Chem Inf Comput Sci       Date:  1981-08

10.  Structure-antitumor activity relationships of 9-anilinoacridines using pattern recognition.

Authors:  D R Henry; P C Jurs; W A Denny
Journal:  J Med Chem       Date:  1982-08       Impact factor: 7.446

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