Jonathan D. Hirst

	2009
23		Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Alfonso Valencia, Robert Elliott Smith, Natalio Krasnogor: Automated Alphabet Reduction for Protein Datasets. BMC Bioinformatics 10: (2009)
22		Benjamin M. Bulheller, Jonathan D. Hirst: DichroCalc - circular and linear dichroism online. Bioinformatics 25(4): 539-540 (2009)
21		Michael Stout, Jaume Bacardit, Jonathan D. Hirst, Robert Elliott Smith, Natalio Krasnogor: Prediction of topological contacts in proteins using learning classifier systems. Soft Comput. 13(3): 245-258 (2009)
	2008
20		Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Natalio Krasnogor: Data Mining in Proteomics with Learning Classifier Systems. Learning Classifier Systems in Data Mining 2008: 17-46
19		Stephen E. Hamby, Jonathan D. Hirst: Prediction of glycosylation sites using random forests. BMC Bioinformatics 9: (2008)
18		Michael Stout, Jaume Bacardit, Jonathan D. Hirst, Natalio Krasnogor: Prediction of recursive convex hull class assignments for protein residues. Bioinformatics 24(7): 916-923 (2008)
	2007
17		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: 346-353
16		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 8: (2007)
	2006
15		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: 208-220
14		Jaume Bacardit, Michael Stout, Natalio Krasnogor, Jonathan D. Hirst, Jacek Blazewicz: Coordination number prediction using learning classifier systems: performance and interpretability. GECCO 2006: 247-254
	2005
13		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 152(1): 103-123 (2005)
12		T. John McNeany, Jonathan D. Hirst: Inhibition of the Tyrosine Kinase, Syk, Analyzed by Stepwise Nonparametric Regression. Journal of Chemical Information and Modeling 45(3): 768-776 (2005)
11		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 45(4): 971-981 (2005)
10		Mark T. Oakley, Jonathan M. Garibaldi, Jonathan D. Hirst: Lattice models of peptide aggregation: Evaluation of conformational search algorithms. Journal of Computational Chemistry 26(15): 1638-1646 (2005)
	2004
9		Matthew J. Wood, Jonathan D. Hirst: Predicting protein secondary structure by cascade-correlation neural networks. Bioinformatics 20(3): 419-420 (2004)
8		James L. Melville, Jonathan D. Hirst: On the Stability of CoMFA Models. Journal of Chemical Information and Modeling 44(4): 1294-1300 (2004)
	2002
7		Robert Carr, William Hart, Natalio Krasnogor, Jonathan D. Hirst, Edmund K. Burke, James Smith: Alignment Of Protein Structures With A Memetic Evolutionary Algorithm. GECCO 2002: 1027-1034
6		Natalio Krasnogor, B. P. Blackburne, Edmund K. Burke, Jonathan D. Hirst: Multimeme Algorithms for Protein Structure Prediction. PPSN 2002: 769-778
	2000
5		Pere Constans, Jonathan D. Hirst: Nonparametric Regression Applied to Quantitative Structure-Activity Relationships. Journal of Chemical Information and Computer Sciences 40(2): 452-459 (2000)
	1998
4		Michal Vieth, Jonathan D. Hirst, Andrzej Kolinski, Charles L. Brooks III: Assessing energy functions for flexible docking. Journal of Computational Chemistry 19(14): 1612-1622 (1998)
3		Michal Vieth, Jonathan D. Hirst, Brian N. Dominy, Heidi Daigler, Charles L. Brooks III: Assessing search strategies for flexible docking. Journal of Computational Chemistry 19(14): 1623-1631 (1998)
	1994
2		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 8(4): 405-420 (1994)
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 8(4): 421-432 (1994)

Coauthor Index

1	Bryan Allbutt	[11]
2	Jaume Bacardit	[14] [15] [17] [18] [20] [21] [23]
3	Daniel Barthel	[16]
4	B. P. Blackburne	[6]
5	Jacek Blazewicz	[14] [15] [16]
6	Carlos Bousoño-Calzón	[13]
7	Charles L. Brooks III	[3] [4]
8	Benjamin M. Bulheller	[22]
9	Edmund K. Burke	[6] [7] [11] [13] [16]
10	Robert Carr	[7]
11	Pere Constans	[5]
12	Heidi Daigler	[3]
13	Brian N. Dominy	[3]
14	Jonathan M. Garibaldi	[10]
15	Stephen E. Hamby	[19]
16	William Hart	[7]
17	Ross D. King	[1] [2]
18	Andrzej Kolinski	[4]
19	Natalio Krasnogor	[6] [7] [13] [14] [15] [16] [17] [18] [20] [21] [23]
20	Xavier Llorà	[17]
21	Kevin R. J. Lovelock	[11]
22	Barry Lygo	[11]
23	T. John McNeany	[12]
24	James L. Melville	[8] [11]
25	Mark T. Oakley	[10]
26	David A. Pelta	[13]
27	Kumara Sastry	[17]
28	James Smith	[7]
29	Robert Elliott Smith (Robert E. Smith)	[21] [23]
30	Michael J. E. Sternberg	[1] [2]
31	Michael Stout	[14] [15] [17] [18] [20] [21] [23]
32	Alfonso Valencia	[23]
33	José L. Verdegay	[13]
34	Michal Vieth	[3] [4]
35	Claire Wilson	[11]
36	Matthew J. Wood	[9]

Colors in the list of coauthors