Molecular Similarity Matrixes and Quantitative Structure-Activity Relationships: A Case Study with Methodological Implications

1995 ◽  
Vol 38 (4) ◽  
pp. 629-635 ◽  
Author(s):  
Romualdo Benigni ◽  
Marina Cotta-Ramusino ◽  
Fabrizio Giorgi ◽  
Grazia Gallo
Keyword(s):  
Molecular Similarity ◽  
Quantitative Structure ◽  
Structure Activity Relationships ◽  
Structure Activity ◽  
Quantitative Structure Activity Relationships

Computer Assisted Molecular Design: Overview of cModern Techniques in Quantitative Structure Activity Relationships (QSAR)

Weed Science ◽  
1996 ◽  
Vol 44 (3) ◽  
pp. 718-733 ◽  
Author(s):  
Roy Vaz
Keyword(s):  
Molecular Design ◽  
3D Qsar ◽  
Field Analysis ◽  
Computer Assisted ◽  
Quantitative Structure ◽  
Structure Activity Relationships ◽  
Structure Activity ◽  
Molecule Design ◽  
Quantitative Structure Activity Relationships

This paper gives an overview of computer assisted molecule design using quantitative structure activity relationships (QSAR). In deriving a QSAR for a set of compounds, one should be aware of possible properties one can use to correlate with the activity of this set of compounds. The paper describes some of the traditional and also more recently used properties that can be calculated. The traditionally used properties have been those calculated for the substituent groups that were varied on a particular scaffold, whereas the more recently used properties are those calculated on the molecule as a whole. One of the most recently used properties for comparative purposes are fields around the molecules. The technique is termed comparative molecular field analysis (CoMFA). The statistical techniques used to correlate the properties with the activity are also described and, finally, a case study is described. The case study shows the application of traditional and 3D QSAR (CoMFA) techniques on some photosystem II inhibitors.

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