Evaluation of a novel infrared range vibration-based descriptor (EVA) for QSAR studies. 1. General application
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Peter Willett | David B. Turner | Allan M. Ferguson | Trevor W. Heritage | P. Willett | A. M. Ferguson | D. Turner
[1] D. Hoekman. Exploring QSAR Fundamentals and Applications in Chemistry and Biology, Volume 1. Hydrophobic, Electronic and Steric Constants, Volume 2 J. Am. Chem. Soc. 1995, 117, 9782 , 1996 .
[2] U. Singh,et al. A NEW FORCE FIELD FOR MOLECULAR MECHANICAL SIMULATION OF NUCLEIC ACIDS AND PROTEINS , 1984 .
[3] Ki Hwan Kim,et al. Use of the hydrogen bond potential function in a comparative molecular field analysis (CoMFA) on a set of benzodiazepines , 1993, J. Comput. Aided Mol. Des..
[4] M. Karelson,et al. Quantum-Chemical Descriptors in QSAR/QSPR Studies. , 1996, Chemical reviews.
[5] Sorel Muresan,et al. Van der Waals Intersection Envelope Volumes as a Possible Basis for Steric Interaction in CoMFA , 1996 .
[6] B D Silverman,et al. Comparative molecular moment analysis (CoMMA): 3D-QSAR without molecular superposition. , 1996, Journal of medicinal chemistry.
[7] G. Herzberg,et al. Molecular Spectra and Molecular Structure , 1992 .
[8] A. Good,et al. Structure-activity relationships from molecular similarity matrices. , 1993, Journal of medicinal chemistry.
[9] Peter Willett,et al. Similarity Searching in Files of Three-Dimensional Chemical Structures: Evaluation of the EVA Descriptor and Combination of Rankings Using Data Fusion , 1997, J. Chem. Inf. Comput. Sci..
[10] Richard D. Cramer,et al. BC(DEF) parameters. 1. The intrinsic dimensionality of intermolecular interactions in the liquid state , 1980 .
[11] Romano T. Kroemer,et al. A new procedure for improving the predictiveness of CoMFA models and its application to a set of dihydrofolate reductase inhibitors , 1995, J. Comput. Aided Mol. Des..
[12] F I Carroll,et al. Synthesis, ligand binding, QSAR, and CoMFA study of 3 beta-(p-substituted phenyl)tropane-2 beta-carboxylic acid methyl esters. , 1991, Journal of medicinal chemistry.
[13] G. Klebe,et al. Molecular similarity indices in a comparative analysis (CoMSIA) of drug molecules to correlate and predict their biological activity. , 1994, Journal of medicinal chemistry.
[14] Philip Jonathan,et al. Discriminant analysis with singular covariance matrices. A method incorporating cross‐validation and efficient randomized permutation tests , 1996 .
[15] C. Waller,et al. Comparative molecular field analysis of polyhalogenated dibenzo-p-dioxins, dibenzofurans, and biphenyls. , 1992, Journal of medicinal chemistry.
[16] Yvonne C. Martin,et al. DIRECT PREDICTION OF LINEAR FREE ENERGY SUBSTITUENT EFFECTS FROM 3D STRUCTURES USING COMPARATIVE MOLECULAR FIELD ANALYSIS. I, ELECTRONIC EFFECTS OF SU BSTITUTED BENZOIC ACIDS , 1991 .
[17] C. Hansch,et al. p-σ-π Analysis. A Method for the Correlation of Biological Activity and Chemical Structure , 1964 .
[18] R. Cramer,et al. Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins. , 1988, Journal of the American Chemical Society.
[19] A. N. Jain,et al. Compass: predicting biological activities from molecular surface properties. Performance comparisons on a steroid benchmark. , 1994, Journal of medicinal chemistry.
[20] A. Doweyko,et al. The hypothetical active site lattice. An approach to modelling active sites from data on inhibitor molecules. , 1988, Journal of medicinal chemistry.
[21] Ettore Novellino,et al. Comparative Molecular Field Analysis on a Set of Muscarinic Agonists , 1991 .
[22] A Tropsha,et al. Cross-validated R2-guided region selection for comparative molecular field analysis: a simple method to achieve consistent results. , 1995, Journal of medicinal chemistry.
[23] Glen Eugene Kellogg,et al. HINT: A new method of empirical hydrophobic field calculation for CoMFA , 1991, J. Comput. Aided Mol. Des..
[24] F I Carroll,et al. Synthesis and ligand binding of cocaine isomers at the cocaine receptor. , 1991, Journal of medicinal chemistry.
[25] J. McFarland,et al. Comparative molecular field analysis of anticoccidial triazines. , 1992, Journal of medicinal chemistry.
[26] D. E. Clark,et al. PRO_LIGAND: an approach to de novo molecular design. 2. Design of novel molecules from molecular field analysis (MFA) models and pharmacophores. , 1994, Journal of medicinal chemistry.
[27] Allan M. Ferguson,et al. EVA: A new theoretically based molecular descriptor for use in QSAR/QSPR analysis , 1997, J. Comput. Aided Mol. Des..
[28] K F Koehler,et al. Predictive binding of beta-carboline inverse agonists and antagonists via the CoMFA/GOLPE approach. , 1992, Journal of medicinal chemistry.
[29] Anton J. Hopfinger,et al. A 3D-QSAR Study of Anticoccidial Triazines Using Molecular Shape Analysis , 1995, J. Chem. Inf. Comput. Sci..
[30] J. Topliss,et al. Chance factors in studies of quantitative structure-activity relationships. , 1979, Journal of medicinal chemistry.
[31] Anton J. Hopfinger,et al. A 3D-QSAR Study of Anticoccidial Triazines Using Molecular Shape Analysis [J. Chem. Inf. Comput. Sci 35, 771-778 (1995)] , 1996, J. Chem. Inf. Comput. Sci..
[32] G M Crippen,et al. Modeling the benzodiazepine receptor binding site by the general three-dimensional structure-directed quantitative structure-activity relationship method REMOTEDISC. , 1990, Molecular pharmacology.
[33] J. Gasteiger,et al. Autocorrelation of Molecular Surface Properties for Modeling Corticosteroid Binding Globulin and Cytosolic Ah Receptor Activity by Neural Networks , 1995 .
[34] D. Rogers,et al. Receptor surface models. 2. Application to quantitative structure-activity relationships studies. , 1995, Journal of medicinal chemistry.
[35] Paola Gramatica,et al. Modeling and prediction by using WHIM descriptors in QSAR studies: Toxicity of heterogeneous chemicals on Daphnia magna , 1996 .