Multiobjective/Multicriteria Optimization and Decision Support in Drug Discovery

Author(s):  
M. Afshar ◽  
A. Lanoue ◽  
J. Sallantin
2012 ◽  
Vol 12 (11) ◽  
pp. 1237-1242 ◽  
Author(s):  
Walter Cedeno ◽  
Simson Alex ◽  
Edward P. Jaeger ◽  
Dimitris K. Agrafiotis ◽  
Victor S. Lobanov

10.12737/4534 ◽  
2014 ◽  
Vol 4 (2) ◽  
pp. 0-0
Author(s):  
Сатторов ◽  
F. Sattorov

In this paper we consider the solution of multicriteria decision support in the assessment of the time parameter of network plan under uncertainty fuzzy character. Proposed method is based on the mechanisms of fuzzy set theory and multicriteria optimization and represents a fuzzy model, as input parameters of which set of fuzzy criterion act, the calculation in a fuzzy model is carried out on the bases of fuzzy reasoning (logical implication) of the base of rules, and as an output parameter of model, ie, possibilistic duration of work acts as the resulting function.


2012 ◽  
Vol 52 (6) ◽  
pp. 1438-1449 ◽  
Author(s):  
Eric J. Baede ◽  
Ernest den Bekker ◽  
Jan-Willem Boiten ◽  
Deborah Cronin ◽  
Rob van Gammeren ◽  
...  

2013 ◽  
Vol 12 (18) ◽  
pp. 1980-1986
Author(s):  
Ola Spjuth ◽  
Jonathan Alvarsson ◽  
Egon Willighagen ◽  
Lars Carlsson ◽  
Valentin Georgiev ◽  
...  

We present the open source components for drug discovery that has been developed and integrated into the graphical workbench Bioclipse. Building on a solid open source cheminformatics core, Bioclipse has advanced functionality for managing and visualizing chemical structures and related information. The features presented here include QSAR/QSPR modeling, various predictive solutions such as decision support for chemical liability assessment, site-ofmetabolism prediction, virtual screening, and knowledge discovery and integration. We demonstrate the utility of the described tools with examples from computational pharmacology, toxicology, and ADME. Bioclipse is used in both academia and industry, and is a good example of open source leading to new solutions for drug discovery.


2004 ◽  
Vol 4 (10) ◽  
pp. 1019-1028 ◽  
Author(s):  
Jian Shen ◽  
Valery Polyakov ◽  
Ramesh Rachapudi ◽  
Tony You

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