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ALGORITHMICA
1999
84views more  ALGORITHMICA 1999»
13 years 4 months ago
Computational Approaches to Drug Design
Abstract. The rational approach to pharmaceutical drug design begins with an investigation of the relationship between chemical structure and biological activity. Information gaine...
Paul W. Finn, Lydia E. Kavraki
NCA
2007
IEEE
13 years 4 months ago
Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs
Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...
Ajith Abraham, Crina Grosan, Stefan Tigan
TEC
2008
99views more  TEC 2008»
13 years 4 months ago
A Drug Candidate Design Environment Using Evolutionary Computation
Abstract-- This article describes the Candidate Design Environment we developed for efficient identification of promising drug candidates. Developing effective drugs from active mo...
M. Ihsan Ecemis, J. Wikel, C. Bingham, Eric Bonabe...
DIS
2003
Springer
13 years 10 months ago
Prediction of Molecular Bioactivity for Drug Design Using a Decision Tree Algorithm
Abstract. A machine learning-based approach to the prediction of molecular bioactivity in new drugs is proposed. Two important aspects are considered for the task: feature subset s...
Sanghoon Lee, Jihoon Yang, Kyung-Whan Oh
TITB
2010
120views Education» more  TITB 2010»
12 years 11 months ago
A distributed, collaborative intelligent agent system approach for proactive postmarketing drug safety surveillance
Discovering unknown adverse drug reactions (ADRs) in postmarketing surveillance as early as possible is of great importance. The current approach to postmarketing surveillance prim...
Yanqing Ji, Hao Ying, Margo S. Farber, John Yen, P...