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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
GECCO
2000
Springer
127views Optimization» more  GECCO 2000»
13 years 8 months ago
Evolving Molecules for Drug Design Using Genetic Algorithms via Molecular Trees
We present a new representation for a genetic algorithm to evolve molecular structures representing possible drugs that bind to a given protein target receptor. Our representation...
Gerard Kian-Meng Goh, James A. Foster
IDA
2003
Springer
13 years 10 months ago
Large Scale Mining of Molecular Fragments with Wildcards
The main task of drug discovery is to find novel bioactive molecules, i.e., chemical compounds that, for example, protect human cells against a virus. One way to support solving t...
Heiko Hofer, Christian Borgelt, Michael R. Berthol...
JCC
2007
82views more  JCC 2007»
13 years 4 months ago
Peptide reagent design based on physical and chemical properties of amino acid residues
: It has tremendous values for both drug discovery and basic research to develop a solid bioinformatical tool for guiding peptide reagent design. Based on the physical and chemical...
Qishi Du, Ri-Bo Huang, Yu-Tuo Wei, Cheng-Hua Wang,...
EDBT
2012
ACM
257views Database» more  EDBT 2012»
11 years 7 months ago
Indexing and mining topological patterns for drug discovery
Increased availability of large repositories of chemical compounds has created new challenges and opportunities for the application of data-mining and indexing techniques to probl...
Sayan Ranu, Ambuj K. Singh