dc.contributor.author | Neophytou, K. | en |
dc.contributor.author | Nicolaou, Christos A. | en |
dc.contributor.author | Pattichis, Constantinos S. | en |
dc.contributor.author | Schizas, Christos N. | en |
dc.creator | Neophytou, K. | en |
dc.creator | Nicolaou, Christos A. | en |
dc.creator | Pattichis, Constantinos S. | en |
dc.creator | Schizas, Christos N. | en |
dc.date.accessioned | 2019-11-13T10:41:29Z | |
dc.date.available | 2019-11-13T10:41:29Z | |
dc.date.issued | 2008 | |
dc.identifier.isbn | 978-1-4244-1868-8 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/54621 | |
dc.description.abstract | Genetic Programming is a heuristic search algorithm inspired by evolutionary techniques that has been shown to produce satisfactory solutions to problems related to several scientific domains [1]. Presented here is a methodology for the creation of Quantitative StructureActivity Relationship (QSAR) models for the prediction of chemical activity, using Genetic Programming, QSAR analysis is crucial for drug discovery since good QSAR models enable human experts to select compounds with increased chances of being active for further investigations. Our technique has been tested using the Selwood data set, a benchmark dataset for the QSAR field [2]. The results indicate that the QSAR models created are accurate, reliable and simple and can thus be used to identify molecular descriptors correlated with measured activity and for the prediction of the activity of untested molecules. The QSAR models we generated predict the activity of untested molecules with an error ranging between 0.46 - 0.8 on the scale [-1,1]. These results compare favourably with results sited in the literature for the same dataset [3], [4]. Our models are constructed using any combination of the arithmetic operators {+, -, /, *}, the descriptors available and constant values. ©2008 IEEE. | en |
dc.source | Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB | en |
dc.source | 6th International Special Topic Conference on ITAB, 2007 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-50049121941&doi=10.1109%2fITAB.2007.4407401&partnerID=40&md5=848e40591d4c6e0ba6cb448963e225e0 | |
dc.subject | Computer programming | en |
dc.subject | Learning algorithms | en |
dc.subject | Forecasting | en |
dc.subject | Chemotherapy | en |
dc.subject | Genetic algorithms | en |
dc.subject | Drug delivery | en |
dc.subject | Heuristic programming | en |
dc.subject | Chlorine compounds | en |
dc.subject | Heuristic algorithms | en |
dc.subject | Arsenic compounds | en |
dc.subject | Drug dosage | en |
dc.subject | Data sets | en |
dc.subject | QSAR | en |
dc.subject | Quantitative Structure-Activity Relationship | en |
dc.subject | Molecular descriptors | en |
dc.subject | Sulfur compounds | en |
dc.subject | Drug discoveries | en |
dc.subject | Health care | en |
dc.subject | Genetic programming | en |
dc.subject | Descriptors | en |
dc.subject | Benchmark dataset | en |
dc.subject | Chemical activities | en |
dc.subject | Chemical compounds | en |
dc.subject | Evolutionary techniques | en |
dc.subject | Heuristic search algorithms | en |
dc.subject | Human experts | en |
dc.subject | Molecular graphics | en |
dc.subject | QSAR analysis | en |
dc.subject | QSAR modeling | en |
dc.subject | Selwood dataset | en |
dc.title | Deriving quantitative structure-activity relationship models using genetic programming for drug discovery | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1109/ITAB.2007.4407401 | |
dc.description.startingpage | 277 | |
dc.description.endingpage | 280 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Conference Object | en |
dc.description.notes | <p>Conference code: 73030 | en |
dc.description.notes | Cited By :3</p> | en |
dc.contributor.orcid | Pattichis, Constantinos S. [0000-0003-1271-8151] | |
dc.contributor.orcid | Schizas, Christos N. [0000-0001-6548-4980] | |
dc.contributor.orcid | Nicolaou, Christos A. [0000-0002-1466-6992] | |
dc.gnosis.orcid | 0000-0003-1271-8151 | |
dc.gnosis.orcid | 0000-0001-6548-4980 | |
dc.gnosis.orcid | 0000-0002-1466-6992 | |