Jonathan D. Hirst

	2011
31		David Robinson, Nicholas A. Besley, Paul O'shea, Jonathan D. Hirst: Water order profiles on phospholipid/cholesterol membrane bilayer surfaces. Journal of Computational Chemistry 32(12): 2613-2618 (2011)
	2010
30		Pooja Jain, Jonathan D. Hirst: Automatic structure classification of small proteins using random forest. BMC Bioinformatics 11: 364 (2010)
29		Petros Kountouris, Jonathan D. Hirst: Predicting beta-turns and their types using predicted backbone dihedral angles and secondary structures. BMC Bioinformatics 11: 407 (2010)
28		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 3(1): 31-50 (2010)
27		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 24(1): 1-15 (2010)
	2009
26		Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Alfonso Valencia, Robert Elliott Smith, Natalio Krasnogor: Automated Alphabet Reduction for Protein Datasets. BMC Bioinformatics 10: (2009)
25		Petros Kountouris, Jonathan D. Hirst: Prediction of backbone dihedral angles and protein secondary structure using support vector machines. BMC Bioinformatics 10: 437 (2009)
24		Benjamin M. Bulheller, Jonathan D. Hirst: DichroCalc - circular and linear dichroism online. Bioinformatics 25(4): 539-540 (2009)
23		Pooja Jain, Jonathan M. Garibaldi, Jonathan D. Hirst: Supervised machine learning algorithms for protein structure classification. Computational Biology and Chemistry 33(3): 216-223 (2009)
22		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
21		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
20		Stephen E. Hamby, Jonathan D. Hirst: Prediction of glycosylation sites using random forests. BMC Bioinformatics 9: (2008)
19		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
18		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
17		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
16		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
15		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
14		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)
13		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)
12		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)
11		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
10		Matthew J. Wood, Jonathan D. Hirst: Recent Applications of Neural Networks in Bioinformatics. WIRN 2004: 91-97
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 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: 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	[12]
2	Jaume Bacardit	[15] [16] [18] [19] [21] [22] [26] [28]
3	Daniel Barthel	[17]
4	Nicholas A. Besley	[31]
5	B. P. Blackburne	[6]
6	Jacek Blazewicz	[15] [16] [17]
7	Carlos Bousoño-Calzón	[14]
8	Charles L. Brooks III	[3] [4]
9	Benjamin M. Bulheller	[24]
10	Edmund K. Burke	[6] [7] [12] [14] [17]
11	Robert D. Carr	[7]
12	Pere Constans	[5]
13	Heidi Daigler	[3]
14	Brian N. Dominy	[3]
15	Jonathan M. Garibaldi	[11] [23]
16	Stephen E. Hamby	[20]
17	William E. Hart	[7]
18	Abrar Hussain	[27]
19	Pooja Jain	[23] [30]
20	Max Kun Jiang	[28]
21	Ross D. King	[1] [2]
22	Andrzej Kolinski	[4]
23	Petros Kountouris	[25] [29]
24	Natalio Krasnogor	[6] [7] [14] [15] [16] [17] [18] [19] [21] [22] [26] [28]
25	Xavier Llorà	[18]
26	Kevin R. J. Lovelock	[12]
27	Barry Lygo	[12]
28	T. John McNeany	[13]
29	James L. Melville	[8] [12] [27]
30	Paul O'shea	[31]
31	Mark T. Oakley	[11]
32	David A. Pelta (David Alejandro Pelta)	[14]
33	David Robinson	[31]
34	Kumara Sastry	[18]
35	James Smith	[7]
36	Robert Elliott Smith (Robert E. Smith)	[22] [26] [28]
37	Michael J. E. Sternberg	[1] [2]
38	Michael Stout	[15] [16] [18] [19] [21] [22] [26] [28]
39	Alfonso Valencia	[26]
40	José L. Verdegay	[14]
41	Michal Vieth	[3] [4]
42	Claire Wilson	[12]
43	Matthew J. Wood	[9] [10]

Colors in the list of coauthors

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