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David Manallack
David Manallack
Verified email at monash.edu
Title
Cited by
Cited by
Year
The pKa Distribution of Drugs: Application to Drug Discovery
DT Manallack
Perspectives in medicinal chemistry 1, 1177391X0700100003, 2007
4642007
The significance of acid/base properties in drug discovery
DT Manallack, RJ Prankerd, E Yuriev, TI Oprea, DK Chalmers
Chemical Society Reviews 42 (2), 485-496, 2013
3132013
Data modelling with neural networks: advantages and limitations
DJ Livingstone, DT Manallack, IV Tetko
Journal of computer-aided molecular design 11, 135-142, 1997
2271997
Neural networks in drug discovery: have they lived up to their promise?
DT Manallack, DJ Livingstone
European Journal of Medicinal Chemistry 34 (3), 195-208, 1999
1801999
Estimation of pKa Using Semiempirical Molecular Orbital Methods. Part 1: Application to Phenols and Carboxylic Acids.
BG Tehan, EJ Lloyd, MG Wong, WR Pitt, JG Montana, DT Manallack, ...
Quantitative Structure‐Activity Relationships 21 (5), 457-472, 2002
1522002
The next generation of phosphodiesterase inhibitors: structural clues to ligand and substrate selectivity of phosphodiesterases
DT Manallack, RA Hughes, PE Thompson
Journal of medicinal chemistry 48 (10), 3449-3462, 2005
1512005
Statistics using neural networks: chance effects
DJ Livingstone, DT Manallack
Journal of medicinal chemistry 36 (9), 1295-1297, 1993
1311993
Analysis of linear and nonlinear QSAR data using neural networks
DT Manallack, DD Ellis, DJ Livingstone
Journal of Medicinal Chemistry 37 (22), 3758-3767, 1994
1051994
Regulation of σ‐receptors: high‐and low‐affinity agonist states, GTP shifts, and up‐regulation by rimcazole and 1, 3‐di (2‐tolyl) guanidine
PM Beart, RD O'Shea, DT Manallack
Journal of neurochemistry 53 (3), 779-788, 1989
1041989
Estimation of pKa Using Semiempirical Molecular Orbital Methods. Part 2: Application to Amines, Anilines and Various Nitrogen Containing Heterocyclic Compounds.
BG Tehan, EJ Lloyd, MG Wong, WR Pitt, E Gancia, DT Manallack
Quantitative Structure‐Activity Relationships 21 (5), 473-485, 2002
1022002
Scaffold hopping in de novo design. Ligand generation in the absence of receptor information
DG Lloyd, CL Buenemann, NP Todorov, DT Manallack, PM Dean
Journal of medicinal chemistry 47 (3), 493-496, 2004
1002004
Psychotomimetic σ-opiates and PCP
DT Manallack, PM Beart, AL Gundlach
Trends in Pharmacological Sciences 7, 448-451, 1986
951986
Identification of potent phosphodiesterase inhibitors that demonstrate cyclic nucleotide-dependent functions in apicomplexan parasites
BL Howard, KL Harvey, RJ Stewart, MF Azevedo, BS Crabb, IG Jennings, ...
ACS chemical biology 10 (4), 1145-1154, 2015
932015
A consensus neural network-based technique for discriminating soluble and poorly soluble compounds
DT Manallack, BG Tehan, E Gancia, BD Hudson, MG Ford, ...
Journal of chemical information and computer sciences 43 (2), 674-679, 2003
852003
The acid–base profile of a contemporary set of drugs: implications for drug discovery
DT Manallack
SAR and QSAR in Environmental Research 20 (7-8), 611-655, 2009
822009
Receptor site topographies for phencyclidine-like and sigma drugs: predictions from quantitative conformational, electrostatic potential, and radioreceptor analyses.
DT Manallack, MG Wong, M Costa, PR Andrews, PM Beart
Molecular pharmacology 34 (6), 863-879, 1988
801988
Absence of N-Methyl-D-Aspartate Receptors on Ovine Cerebral Microvessels
PM Beart, KAM Sheehan, DT Manallack
Journal of Cerebral Blood Flow & Metabolism 8 (6), 879-882, 1988
781988
Theoretical hydrogen bonding parameters for drug design
E Gancia, JG Montana, DT Manallack
Journal of Molecular Graphics and Modelling 19 (3-4), 349-362, 2001
772001
Selecting screening candidates for kinase and G protein-coupled receptor targets using neural networks
DT Manallack, WR Pitt, E Gancia, JG Montana, DJ Livingstone, MG Ford, ...
Journal of chemical information and computer sciences 42 (5), 1256-1262, 2002
742002
Prediction of drug solubility from molecular structure using a drug-like training set
J Huuskonen, DJ Livingstone, DT Manallack
SAR and QSAR in Environmental Research 19 (3-4), 191-212, 2008
602008
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