M. Ford

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Selecting Screening Candidates for Kinase and G Protein-Coupled Receptor Targets Using Neural Networks

Martyn G. Ford, David C. Whitley, Emanuela Gancia, 2002, J. Chem. Inf. Comput. Sci..

Selecting Screening Candidates for Kinase and G Protein‐Coupled Receptor Targets Using Neural Networks.

D. Manallack, D. Livingstone, W. Pitt, 2002 .

BASIC TECHNOLOGY INITIATIVE : A new paradigm for virtual screening using pattern recognition , ab initio quantum mechanics and mathematical representation of molecular surfaces . A combined Basic Technology proof of concept and consortium networking proposal : Part 1

P. Usherwood, D. Livingstone, M. Ford, 2022 .

An investigation of the ionophoric characteristics of destruxin A.

M. Ford, L. Banting, M. Hinaje, 2002, Archives of biochemistry and biophysics.

Advanced Statistical Techniques

D. Livingstone, H. Macfie, M. Ford, 1994 .

Vicinity analysis: a methodology for the identification of similar protein active sites

B. Hudson, M. Ford, D. Whitley, 2009, Journal of molecular modeling.

Combating resistance to xenobiotics : biological and chemical approaches

M. Ford, B. Khambay, R. M. Sawicki, 1987 .

Neuropharmacology and pesticide action

P. Usherwood, M. Ford, G. Lunt, 1986 .

The relationship between the Physicochemical properties of pyrethroid insecticides and their speed of neurotoxic action

M. Ford, R. Greenwood, Richard Szydlo, 1985 .

Pattern recognition based on color-coded quantum mechanical surfaces for molecular alignment

Martin T. Swain, B. Hudson, M. Ford, 2008, Journal of molecular modeling.

Time‐dose‐response relationships of pyrethroid insecticides with special reference to knockdown

M. Ford, David R. Pert, 1974 .

Separation and analysis of the diastereomers and enantiomers of cypermethrin and related compounds

D. P. Edwards, M. Ford, 1997 .

Genomic and proteomic sequence recognition using a connectionist inference model.

Martyn G. Ford, Siri Bavan, Melina Kalatzi, 2000 .

The role of cuticular waxes and surface roughness in determining the insecticidal efficacy of deltamethrin and dimethoate applied as emulsifiable concentrates to leaf surfaces

M. Ford, G. Frampton, P. Jepson, 2005 .

A novel method of delivering Blumeria graminis f. sp. hordei spores for laboratory experiments

M. Ford, D. Salt, G. Bremer, 2003 .

Comparative effects of pyrethroids on neurons of target and non-target organisms.

M. Ford, D. Buckley, D. Salt, 1985, Neurotoxicology.

Toxicity of pyrethroids to larvae of the egyptian cotton leafworm, Spodoptera littoralis (Boisd.). I. Relative toxicities and knockdown activities of benzyl, and 5‐benzyl‐3‐furylmethyl, cyclopropanecarboxylates

M. Ford, R. Reay, P. Ellis, 1977 .

The kinetics of insecticide action. Part IV: the in‐vivo distribution of pyrethroid insecticides during insect poisoning

M. Ford, R. Greenwood, D. Salt, 1990 .

Quantitative structure-activity relationships of pyrethroid insecticides†

M. Ford, 1979 .

Simultaneous recording of neurophysiological effects and toxicological symptoms of cypermethrin poisoning in intact larvae of Spodoptera littoralis Boisd.

M. Ford, R. Greenwood, L. D. Leake, 1991 .

The kinetics of insecticide action. Part II: The relationship between the pharmacokinetics of substituted benzyl (1RS)-cis, trans-chrysanthemates and their relative toxicities to mustard beetles (Phaedon cochleariae fab.)†

M. Ford, R. Greenwood, P. J. Thomas, 1981 .

The kinetics of insecticide action. Part I: The properties of a mathematical model describing insect pharmacokinetics

M. Ford, R. Greenwood, P. J. Thomas, 1981 .

Insecticidal activity of the pyrethrins and related compounds: III.—Penetration of pyrethroid insecticides into mustard beetles (Phaedon cochleariae)

M. Ford, M. Elliott, N. F. Janes, 1970 .

Pharmacokinetics: Computational Versus Experimental Approaches to Optimize Insecticidal Chemistry

M. Ford, R. Greenwood, D. Salt, 2007 .

Toxicity of some pyrethroids to the adult desert locust, Schistocerca gregaria forsk

M. Ford, R. Reay, 1972 .

Synthetic Pyrethroids: Their possible Role in the Control of Locusts and Leafworms

M. Ford, R. Reay, 1973 .

Chapter 6 – The Kinetics of the Partitioning of Compounds Between Octanol and Water, and its Relationship to the Movement of Molecules in Biological Systems

M. Ford, P. Fisk, P. Watson, 1999 .

Biological data mining with neural networks: implementation and application of a flexible decision tree extraction algorithm to genomic problem domains

Antony Browne, Brian D. Hudson, Martyn G. Ford, 2004, Neurocomputing.

Use of Automatic Relevance Determination in QSAR Studies Using Bayesian Neural Networks

Frank R. Burden, Martyn G. Ford, David C. Whitley, 2000, J. Chem. Inf. Comput. Sci..

A reductionist approach towards short-term hazard analysis for terrestrial invertebrates exposed to pesticides.

M. Ford, P. Jepson, D. Salt, 1990 .

The kinetics of insecticide action. Part III: The use of stochastic modelling to investigate the pick-up of insecticides from ULV-treated surfaces by larvae of Spodoptera littoralis boisd†

M. Ford, D. Salt, 1984 .

A Consensus Neural Network-Based Technique for Discriminating Soluble and Poorly Soluble Compounds

Brian D. Hudson, Martyn G. Ford, David C. Whitley, 2003, J. Chem. Inf. Comput. Sci..

Leaf surfaces and the bioavailability of pesticide residues.

P. Howse, M. Ford, P. Jepson, 2001, Pest management science.

A model for the capture of aerially sprayed pesticide by barley

B. E. Lee, M. G. Ford, S. J. Cox, 2000 .

The Kinetics of Insecticide Action. Part V: Deterministic Models to Simulate the Movement of Pesticide from Discrete Deposits and to Predict Optimum Deposit Characteristics on Leaf Surfaces for Control of Sedentary Crop Pests

Martyn G. Ford, David W. Salt, M. Ford, 1996 .

Toxicity of pyrethroids to larvae of the Egyptian cotton leafworm, Spodoptera littoralis (Boisd.). II. Factors determining the effectiveness of permethrin at ultra-low volume†

M. Ford, R. Reay, R. C. Reay, 1977 .

QSAR studies of the pyrethroid insecticides. Part 3. A putative pharmacophore derived using methodology based on molecular dynamics and hierarchical cluster analysis.

B. Hudson, M. Ford, L. Banting, 2002, Journal of molecular graphics & modelling.

A new approach to the analysis of complex dose-response relationships: a multivariate study of octopamine action on the leech Leydig neurone.

M. Ford, L. D. Leake, J. A. Dean, 1985, Comparative biochemistry and physiology. C, Comparative pharmacology and toxicology.

Simultaneous prediction of aqueous solubility and octanol/water partition coefficient based on descriptors derived from molecular structure

Martyn G. Ford, David W. Salt, David J. Livingstone, 2001, J. Comput. Aided Mol. Des..

Optimising the EVA descriptor for prediction of biological activity.

M. Ford, A. Stevens, Laurie Phillips, 2004, Organic & biomolecular chemistry.

Multivariate Data Analysis of Chemical and Biological Data

Han van de Waterbeemd, Martyn G. Ford, James Devillers, 1995 .

The Extraction of Information and Knowledge from Trained Neural Networks

Antony Browne, David J Livingstone, Raymond Crichton, 2009, Artificial Neural Networks.

Binding constants of neuraminidase inhibitors: An investigation of the linear interaction energy method.

M G Ford, A R Leach, A. Leach, 1999, Journal of medicinal chemistry.

The influence of spray droplet characteristics on the efficacy of permethrin against the diamondback moth Plutella xylostella: The effect of drop size and concentration on the potency of ulv‐ and ec‐based residual deposits

M. Ford, G. Matthews, D. Salt, 1991 .

QSAR studies using the parashift system

M G Ford, D C Whitley, D. Livingstone, 2008, SAR and QSAR in environmental research.

Selecting compounds for focused screening using linear discriminant analysis and artificial neural networks.

M G Ford, W R Pitt, D C Whitley, 2004, Journal of molecular graphics & modelling.

Unsupervised Forward Selection: A Method for Eliminating Redundant Variables

Martyn G. Ford, David C. Whitley, David J. Livingstone, 2000, J. Chem. Inf. Comput. Sci..

Variable selection and specification of robust QSAR models from multicollinear data: arylpiperazinyl derivatives with affinity and selectivity for α2-adrenoceptors

Maurizio Botta, Martyn G. Ford, David W. Salt, 2004, J. Comput. Aided Mol. Des..

Extraction of comprehensible logical rules from neural networks: application of TREPAN in bio and cheminformatics

Antony Browne, Martyn G. Ford, David C. Whitley, 2005 .