Literature DB >> 1762573

Pattern recognition methods in rational drug design.

D J Livingstone.   

Abstract

Pattern recognition methods have much to offer the drug designer, particularly as the calculation and collation of data, both biological and physicochemical, becomes easier with the widespread use of computer databases, molecular modeling systems, and property prediction packages. Some of the techniques, however, suffer from difficulties in interpretation and the dangers of chance effects have received little attention. The wider use and understanding of these methods is expected to enhance their utility in drug design. Finally, it should be mentioned here that these methods are becoming applied increasingly in other areas of pharmaceutical research, e.g., the analysis of clinical data, and that new techniques for analysis continue to be developed and applied in this field.

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Year:  1991        PMID: 1762573     DOI: 10.1016/0076-6879(91)03032-c

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  4 in total

1.  Data modelling with neural networks: advantages and limitations.

Authors:  D J Livingstone; D T Manallack; I V Tetko
Journal:  J Comput Aided Mol Des       Date:  1997-03       Impact factor: 3.686

2.  Design of anticancer agents utilizing streptozocin for in silico optimization of properties and pattern recognition identification of group features.

Authors:  Ronald Bartzatt
Journal:  Open Med Chem J       Date:  2008-09-02

3.  Benzene induces a dose-responsive increase in the frequency of micronucleated cells in rat Zymbal glands.

Authors:  F A Angelosanto; G R Blackburn; C A Schreiner; C R Mackerer
Journal:  Environ Health Perspect       Date:  1996-12       Impact factor: 9.031

Review 4.  Deep Learning in Drug Discovery and Medicine; Scratching the Surface.

Authors:  Dibyendu Dana; Satishkumar V Gadhiya; Luce G St Surin; David Li; Farha Naaz; Quaisar Ali; Latha Paka; Michael A Yamin; Mahesh Narayan; Itzhak D Goldberg; Prakash Narayan
Journal:  Molecules       Date:  2018-09-18       Impact factor: 4.411

  4 in total

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