Search results for "Jonathan D. Hirst"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	David Robinson, Nicholas A. Besley, Paul O'shea, Jonathan D. Hirst	Water order profiles on phospholipid/cholesterol membrane bilayer surfaces.	Journal of Computational Chemistry	2011	DBLP DOI BibTeX RDF
1	Pooja Jain, Jonathan D. Hirst	Automatic structure classification of small proteins using random forest.	BMC Bioinformatics	2010	DBLP DOI BibTeX RDF
1	Petros Kountouris, Jonathan D. Hirst	Predicting beta-turns and their types using predicted backbone dihedral angles and secondary structures.	BMC Bioinformatics	2010	DBLP DOI BibTeX RDF
1	Abrar Hussain, James L. Melville, Jonathan D. Hirst	Molecular docking and QSAR of aplyronine A and analogues: potent inhibitors of actin.	Journal of Computer-Aided Molecular Design	2010	DBLP DOI BibTeX RDF
1	Robert Elliott Smith, Max Kun Jiang, Jaume Bacardit, Michael Stout, Natalio Krasnogor, Jonathan D. Hirst	A learning classifier system with mutual-information-based fitness.	Evolutionary Intelligence	2010	DBLP DOI BibTeX RDF
1	Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Alfonso Valencia, Robert Elliott Smith, Natalio Krasnogor	Automated Alphabet Reduction for Protein Datasets.	BMC Bioinformatics	2009	DBLP DOI BibTeX RDF
1	Petros Kountouris, Jonathan D. Hirst	Prediction of backbone dihedral angles and protein secondary structure using support vector machines.	BMC Bioinformatics	2009	DBLP DOI BibTeX RDF
1	Michael Stout, Jaume Bacardit, Jonathan D. Hirst, Robert Elliott Smith, Natalio Krasnogor	Prediction of topological contacts in proteins using learning classifier systems.	Soft Comput.	2009	DBLP DOI BibTeX RDF
1	Benjamin M. Bulheller, Jonathan D. Hirst	DichroCalc - circular and linear dichroism online.	Bioinformatics	2009	DBLP DOI BibTeX RDF
1	Pooja Jain, Jonathan M. Garibaldi, Jonathan D. Hirst	Supervised machine learning algorithms for protein structure classification.	Computational Biology and Chemistry	2009	DBLP DOI BibTeX RDF
1	Stephen E. Hamby, Jonathan D. Hirst	Prediction of glycosylation sites using random forests.	BMC Bioinformatics	2008	DBLP DOI BibTeX RDF
1	Michael Stout, Jaume Bacardit, Jonathan D. Hirst, Natalio Krasnogor	Prediction of recursive convex hull class assignments for protein residues.	Bioinformatics	2008	DBLP DOI BibTeX RDF
1	Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Natalio Krasnogor	Data Mining in Proteomics with Learning Classifier Systems.	Learning Classifier Systems in Data Mining	2008	DBLP DOI BibTeX RDF
1	Daniel Barthel, Jonathan D. Hirst, Jacek Blazewicz, Edmund K. Burke, Natalio Krasnogor	ProCKSI: a decision support system for Protein (Structure) Comparison, Knowledge, Similarity and Information.	BMC Bioinformatics	2007	DBLP DOI BibTeX RDF
1	Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Kumara Sastry, Xavier Llorà, Natalio Krasnogor	Automated alphabet reduction method with evolutionary algorithms for protein structure prediction.	GECCO	2007	DBLP DOI BibTeX RDF	alphabet reduction, coordination number prediction, evolutionary algorithms, bioinformatics, learning classifier systems, estimation of distribution algorithms, rule induction, protein structure prediction
1	Jaume Bacardit, Michael Stout, Natalio Krasnogor, Jonathan D. Hirst, Jacek Blazewicz	Coordination number prediction using learning classifier systems: performance and interpretability.	GECCO	2006	DBLP DOI BibTeX RDF	coordination number prediction, evolutionary algorithms, bioinformatics, learning classifier systems, rule induction, protein structure prediction
1	Michael Stout, Jaume Bacardit, Jonathan D. Hirst, Natalio Krasnogor, Jacek Blazewicz	From HP Lattice Models to Real Proteins: Coordination Number Prediction Using Learning Classifier Systems.	EvoWorkshops	2006	DBLP DOI BibTeX RDF
1	Mark T. Oakley, Jonathan M. Garibaldi, Jonathan D. Hirst	Lattice models of peptide aggregation: Evaluation of conformational search algorithms.	Journal of Computational Chemistry	2005	DBLP DOI BibTeX RDF
1	James L. Melville, Kevin R. J. Lovelock, Claire Wilson, Bryan Allbutt, Edmund K. Burke, Barry Lygo, Jonathan D. Hirst	Exploring Phase-Transfer Catalysis with Molecular Dynamics and 3D/4D Quantitative Structure-Selectivity Relationships.	Journal of Chemical Information and Modeling	2005	DBLP DOI BibTeX RDF
1	T. John McNeany, Jonathan D. Hirst	Inhibition of the Tyrosine Kinase, Syk, Analyzed by Stepwise Nonparametric Regression.	Journal of Chemical Information and Modeling	2005	DBLP DOI BibTeX RDF
1	David A. Pelta, Natalio Krasnogor, Carlos Bousoño-Calzón, José L. Verdegay, Jonathan D. Hirst, Edmund K. Burke	A fuzzy sets based generalization of contact maps for the overlap of protein structures.	Fuzzy Sets and Systems	2005	DBLP DOI BibTeX RDF
1	Matthew J. Wood, Jonathan D. Hirst	Predicting protein secondary structure by cascade-correlation neural networks.	Bioinformatics	2004	DBLP DOI BibTeX RDF
1	James L. Melville, Jonathan D. Hirst	On the Stability of CoMFA Models.	Journal of Chemical Information and Modeling	2004	DBLP DOI BibTeX RDF
1	Matthew J. Wood, Jonathan D. Hirst	Recent Applications of Neural Networks in Bioinformatics.	WIRN	2004	DBLP DOI BibTeX RDF
1	Natalio Krasnogor, B. P. Blackburne, Edmund K. Burke, Jonathan D. Hirst	Multimeme Algorithms for Protein Structure Prediction.	PPSN	2002	DBLP DOI BibTeX RDF
1	Robert D. Carr, William E. Hart, Natalio Krasnogor, Jonathan D. Hirst, Edmund K. Burke, James Smith	Alignment Of Protein Structures With A Memetic Evolutionary Algorithm.	GECCO	2002	DBLP BibTeX RDF
1	Pere Constans, Jonathan D. Hirst	Nonparametric Regression Applied to Quantitative Structure-Activity Relationships.	Journal of Chemical Information and Computer Sciences	2000	DBLP DOI BibTeX RDF
1	Michal Vieth, Jonathan D. Hirst, Andrzej Kolinski, Charles L. Brooks III	Assessing energy functions for flexible docking.	Journal of Computational Chemistry	1998	DBLP DOI BibTeX RDF
1	Michal Vieth, Jonathan D. Hirst, Brian N. Dominy, Heidi Daigler, Charles L. Brooks III	Assessing search strategies for flexible docking.	Journal of Computational Chemistry	1998	DBLP DOI BibTeX RDF
1	Jonathan D. Hirst, Ross D. King, Michael J. E. Sternberg	Quantitative structure-activity relationships by neural networks and inductive logic programming. II. The inhibition of dihydrofolate reductase by triazines.	Journal of Computer-Aided Molecular Design	1994	DBLP DOI BibTeX RDF
1	Jonathan D. Hirst, Ross D. King, Michael J. E. Sternberg	Quantitative structure-activity relationships by neural networks and inductive logic programming. I. The inhibition of dihydrofolate reductase by pyrimidines.	Journal of Computer-Aided Molecular Design	1994	DBLP DOI BibTeX RDF

Publications of "Jonathan D. Hirst" ( http://dblp.L3S.de/Authors/Jonathan_D._Hirst )