Name
Title | ||
|---|---|---|
An Integrated Soft Computing Approach For Predicting Biological Activity Of Potential Hiv-1 Protease Inhibitors |
Abstract | ||
|---|---|---|
Using a neural network-fuzzy logic-genetic algorithm approach we generate an optimal predictor for biological activities of HIV-1 protease potential inhibitory compounds. We use genetic algorithms (GAs) in the two optimization stages. In the first stage, we generate an optimal subset of features. In the second stage, we optimize the architecture of the fuzzy neural network. The optimized network is trained and used for the prediction of biological activities of newly designed chemical compounds. Finally, we extract fuzzy IF/THEN rules. These rules map physico-chemical structure descriptors to predicted inhibitory values. The optimal subset of features, combined with the generated rules, can be used to analyze the influence of descriptors. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/IJCNN.2006.246874 | 2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10 |
Keywords | Field | DocType |
biological activity,genetic algorithm,fuzzy logic,soft computing,chemical structure,genetic algorithms,neural network,neurophysiology,fuzzy neural network | Biological activity,Pattern recognition,Computer science,Fuzzy logic,HIV-1 protease,Neural net architecture,Fuzzy neural nets,Artificial intelligence,Soft computing,Artificial neural network,Genetic algorithm,Machine learning | Conference |
ISSN | Citations | PageRank |
2161-4393 | 4 | 0.45 |
References | Authors | |
22 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Razvan Andonie | 1 | 117 | 17.71 |
| Levente Fabry-asztalos | 2 | 20 | 3.21 |
| Sarah Abdul-wahid | 3 | 21 | 2.56 |
| Catharine Collar | 4 | 11 | 1.34 |
| Nicholas Salim | 5 | 11 | 1.00 |