Advances in the Application of Machine Learning Techniques in Drug Discovery, Design and Development

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{barrett:2005:WSC,

• author = "S. J. Barrett and W. B. Langdon",
• title = "Advances in the Application of Machine Learning Techniques in Drug Discovery, Design and Development",
• booktitle = "Applications of Soft Computing: Recent Trends",
• year = "2006",
• editor = "Ashutosh Tiwari and Joshua Knowles and Erel Avineri and Keshav Dahal and Rajkumar Roy",
• series = "Advances in Soft Computing",
• volume = "36",
• pages = "99--110",
• address = "On the World Wide Web",
• month = "19 " # sep # " - 7 " # oct # " 2005",
• organisation = "World Federation of Soft Computing (WFSC), European Neural Network Society (ENNS), North American Fuzzy Information Processing Society (NAFIPS), European Society for Fuzzy Logic and Technology (EUSFLAT), and International Fuzzy Systems Association (IFSA)",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, Pharmaceutical applications, Drug design, Particle swarm optimisation, Support vector machines",
• ISBN = "3-540-29123-7",
• URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/barrett_2005_WSC.pdf",
• URL = "http://isxp1010c.sims.cranfield.ac.uk/Papers/paper196.pdf",
• URL = "https://link.springer.com/chapter/10.1007/978-3-540-36266-1_10",
• size = "21 pages",
• old_abstract = "Pharmaceutical discovery and development is a cascade of extremely complex and costly research encompassing many facets from: therapeutic target identification and bioinformatics study, candidate drug discovery and optimisation to pre-clinical organism-level evaluations and beyond to extensive clinical trials assessing effectiveness and safety of new medicines. Machine learning, in particular support vector machines SVM, particle swarm optimisation PSO and genetic programming GP, is increasingly used.",
• abstract = "Machine learning tools, in particular support vector machines (SVM), Particle Swarm Optimisation (PSO) and Genetic Programming (GP), are increasingly used in pharmaceuticals research and development. They are inherently suitable for use with noisy, high dimensional (many variables) data, as is commonly used in cheminformatic (i.e. In silico screening), bioinformatic (i.e. bio-marker studies, using DNA chip data) and other types of drug research studies. These aspects are demonstrated via review of their current usage and future prospects in context with drug discovery activities.",
• notes = "http://www.cranfield.ac.uk/wsc10/ broken Original conference title= WSC10: 10th Online World Conference on Soft Computing in Industrial Applications http://isxp1010c.sims.cranfield.ac.uk/Presentations/presentation196.pdf broken slides (1Mbyte)

  Revised following conference. Published 2006. See link.springer.com for published version",

}

Genetic Programming entries for S J Barrett William B Langdon

Citations