Document Detail

The usefulness, in pharmacological classification, of complementary pattern-recognition techniques and structure modelling as afforded by the iterative collation of multiple-trial data in data banks.
MedLine Citation:
PMID:  3885266     Owner:  NLM     Status:  MEDLINE    
In this emerging information age no significant limits can be envisaged to the immense resources of knowledge that pharmacological sciences can draw upon by systematically applying multivariate pattern-recognition techniques to those data banks which can be organized internationally with better standardization of descriptors, i.e. by parametrizing observations and evaluating monitoring in experimental, biological assays, clinical trials and postmarketing surveillance. Even conventionally or habitually adopted references and communalities such as traditional drug profiles and receptor models may be iteratively re-checked and suitably adapted so as to take account of more adequate, up-to-date analytical techniques, fresh biological ideas and new advances in terms of physiological refinements. An attempt may also be made to modify the chemicophysical relationships and patterns currently traced on the basis of what are held to be quantitative structure-activity oversimplifications. The present paper focuses upon specifying a number of standardization criteria in conventional assays and upon submitting multiple biological features to monitoring; in addition, it gives some picture of the new trends the approach can offer and draws attention to the more relevant, innovative literature references.
M L Cingolani; L Re; L Rossini
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Publication Detail:
Type:  Clinical Trial; Journal Article; Research Support, Non-U.S. Gov't; Review    
Journal Detail:
Title:  Pharmacological research communications     Volume:  17     ISSN:  0031-6989     ISO Abbreviation:  Pharmacol Res Commun     Publication Date:  1985 Jan 
Date Detail:
Created Date:  1985-05-17     Completed Date:  1985-05-17     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  0236354     Medline TA:  Pharmacol Res Commun     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  1-22     Citation Subset:  IM    
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MeSH Terms
Clinical Trials as Topic
Drug Evaluation, Preclinical
Guinea Pigs
Information Systems*
Models, Theoretical
Pattern Recognition, Automated*
Product Surveillance, Postmarketing
Receptors, Drug
Structure-Activity Relationship
Reg. No./Substance:
0/Receptors, Drug

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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