All Stories

  1. Classification-based QSAR Models for the Prediction of the Bioactivity of ACE-inhibitor Peptides
  2. On the Misleading Use of QF32 for QSAR Model Comparison
  3. Multivariate comparison of classification performance measures
  4. Mapping of Activity through Dichotomic Scores (MADS): A new chemoinformatic approach to detect activity-rich structural regions
  5. Principal Component Analysis to interpret changes in chromatic parameters on paint dosimeters exposed long-term to urban air
  6. A QSTR-Based Expert System to Predict Sweetness of Molecules
  7. Data Analysis in Chemistry and Bio-Medical Sciences
  8. Qualitative consensus of QSAR ready biodegradability predictions
  9. Beware of Unreliable Q2! A Comparative Study of Regression Metrics for Predictivity Assessment of QSAR Models
  10. Mixtures, metabolites, ionic liquids: a new measure to evaluate similarity between complex chemical systems
  11. Matrix-based Molecular Descriptors for Prospective Virtual Compound Screening
  12. Expert QSAR system for predicting the bioconcentration factor under the REACH regulation
  13. In Silico Prediction of Cytochrome P450-Drug Interaction: QSARs for CYP3A4 and CYP2C9
  14. A new concept of higher-order similarity and the role of distance/similarity measures in local classification methods
  15. Investigating the mechanisms of bioconcentration through QSAR classification trees
  16. Quantitative structure–activity relationships to predict sweet and non-sweet tastes
  17. CERAPP: Collaborative Estrogen Receptor Activity Prediction Project
  18. N3 and BNN: Two New Similarity Based Classification Methods in Comparison with Other Classifiers
  19. How to weight Hasse matrices and reduce incomparabilities
  20. Weighted power–weakness ratio for multi-criteria decision making
  21. QSAR models for bioconcentration: Is the increase in the complexity justified by more accurate predictions?
  22. A similarity-based QSAR model for predicting acute toxicity towards the fathead minnow (Pimephales promelas)
  23. K-CM: A new artificial neural network. Application to supervised pattern recognition
  24. Towards Global QSAR Model Building for Acute Toxicity: Munro Database Case Study
  25. A novel variable reduction method adapted from space-filling designs
  26. Assessing the Validity of QSARs for Ready Biodegradability of Chemicals: An Applicability Domain Perspective
  27. QSAR Modeling: Where Have You Been? Where Are You Going To?
  28. QSPR STUDY OF RHEOLOGICAL AND MECHANICAL PROPERTIES OF CHLOROPRENE RUBBER ACCELERATORS
  29. Reshaped Sequential Replacement algorithm: An efficient approach to variable selection
  30. Reshaped Sequential Replacement for variable selection in QSPR: comparison with other reference methods
  31. Locally centred Mahalanobis distance: A new distance measure with salient features towards outlier detection
  32. Defining a novel k-nearest neighbours approach to assess the applicability domain of a QSAR model for reliable predictions
  33. Quantitative Structure–Activity Relationship Models for Ready Biodegradability of Chemicals
  34. Similarity Coefficients for Binary Chemoinformatics Data: Overview and Extended Comparison Using Simulated and Real Data Sets
  35. Assessing bioaccumulation of polybrominated diphenyl ethers for aquatic species by QSAR modeling
  36. Chemometric analysis of gas chromatography with flame ionisation detection chromatograms: A novel method for classification of petroleum products
  37. Comparison of Different Approaches to Define the Applicability Domain of QSAR Models
  38. Multivariate Analysis of Molecular Descriptors
  39. Sensitivity assessment of freshwater macroinvertebrates to pesticides using biological traits
  40. The OCHEM web-based platform for data modeling/QSAR prediction
  41. The j-index: a new bibliometric index and multivariate comparisons between other common indices
  42. Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information
  43. Applicability Domains for Classification Problems: Benchmarking of Distance to Models for Ames Mutagenicity Set
  44. Self Organizing Maps for Analysis of Polycyclic Aromatic Hydrocarbons 3-Way Data from Spilled Oils
  45. Evaluation of model predictive ability by external validation techniques
  46. Canonical Measure of Correlation (CMC) and Canonical Measure of Distance (CMD) between sets of data. Part 3. Variable selection in classification
  47. Geographical Characterization of Olive Oil by Means of Multivariate Classification
  48. Molecular Descriptors
  49. The Kohonen and CP-ANN toolbox: A collection of MATLAB modules for Self Organizing Maps and Counterpropagation Artificial Neural Networks
  50. Canonical Measure of Correlation (CMC) and Canonical Measure of Distance (CMD) between sets of data. Part 1. Theory and simple chemometric applications
  51. Canonical Measure of Correlation (CMC) and Canonical Measure of Distance (CMD) between sets of data
  52. Comments on the Definition of the Q 2 Parameter for QSAR Validation
  53. Molecular Descriptors for Chemoinformatics
  54. Dairy cream response in instrumental texture evaluation processed by multivariate analysis
  55. Multivariate Classification for Qualitative Analysis
  56. Multicriteria Decision-Making Methods
  57. Chemometrics in QSAR
  58. Critical Assessment of QSAR Models of Environmental Toxicity against Tetrahymena pyriformis: Focusing on Applicability Domain and Overfitting by Variable Selection
  59. Descriptors from Molecular Geometry
  60. Preface
  61. Chapter 2 Total-Order Ranking Methods
  62. Chapter 9 The DART (Decision Analysis by Ranking Techniques) Software
  63. Classification of multiway analytical data based on MOLMAP approach
  64. Characterization of the traditional Cypriot spirit Zivania by means of Counterpropagation Artificial Neural Networks
  65. CAIMAN (Classification And Influence Matrix Analysis): A new approach to the classification based on leverage-scaled functions
  66. Characterization of DNA Primary Sequences by a New Similarity/Diversity Measure Based on the Partial Ordering
  67. A chemometric approach based on a novel similarity/diversity measure for the characterisation and selection of electronic nose sensors
  68. Geographical classification of wine and olive oil by means of classification and influence matrix analysis (CAIMAN)
  69. Data Mining by Total Ranking Methods: A Case Study on Optimisation of the “Pulp and Bleaching” Process in the Paper Industry
  70. Virtual Computational Chemistry Laboratory – Design and Description
  71. Total ranking models by the genetic algorithm variable subset selection (GA?VSS) approach for environmental priority settings
  72. New indices for analysing partial ranking diagrams
  73. Editorial of the “V Colloquium Chemiometricum Mediteraneum”
  74. Detecting “bad” regression models: multicriteria fitness functions in regression analysis
  75. A distance measure between models: a tool for similarity/diversity analysis of model populations
  76. The BEAM-project: prediction and assessment of mixture toxicities in the aquatic environment
  77. Study on anaerobic and aerobic degradation of different non-ionic surfactants
  78. Application of the Kohonen artificial neural network in the identification of proteinaceous binders in samples of panel painting using gas chromatography-mass spectrometry
  79. MobyDigs: software for regression and classification models by genetic algorithms
  80. Structure/Response Correlations and Similarity/Diversity Analysis by GETAWAY Descriptors. 2. Application of the Novel 3D Molecular Descriptors to QSAR/QSPR Studies
  81. Structure/Response Correlations and Similarity/Diversity Analysis by GETAWAY Descriptors. 1. Theory of the Novel 3D Molecular Descriptors
  82. Traditional versus WHIM molecular descriptors in QSAR approaches applied to fish toxicity studies
  83. QSAR and Chemometric Approaches for Setting Water Quality Objectives for Dangerous Chemicals
  84. Handbook of Molecular Descriptors. Methods and Principles in Medicinal Chemistry Series. Volume 11 By Roberto Todeschini and Viviana Consonni (Universita degli Studi di Milano-Bicocca). Edited by R. Mannold, H. Kubinyi, and H. Timmerman. Wiley-VCH:  We...
  85. Steric Control of Conductivity in Highly Conjugated Polythiophenes
  86. QSAR approach for the selection of congeneric compounds with a similar toxicological mode of action
  87. Resolution of mixtures of three nonsteroidal anti-inflammatory drugs by fluorescence using partial least squares multivariate calibration with previous wavelength selection by Kohonen artificial neural networks
  88. A combined use of global and local approaches in 3D-QSAR
  89. QSAR Approach for the Selection of Congeneric Compounds with Similar Toxicological Modes of Action
  90. A New Molecular Structure Representation: Spectral Weighted Molecular (SWM) Signals and Spectral Weighted Invariant Molecular (SWIM) Descriptors
  91. Classification of organic solvents and modelling of their physico-chemical properties by chemometric methods using different sets of molecular descriptors
  92. Toward an in Vitro Test for the Diagnosis of Allergy to Penicillins. Synthesis, Characterization, and Use of β-Lactam and β-Lactam Metabolite Poly- l -lysines Which Recognize Human IgE Antibodies
  93. QSAR study on the tropospheric degradation of organic compounds
  94. The K correlation index: theory development and its application in chemometrics
  95. Kohonen artificial neural networks as a tool for wavelength selection in multicomponent spectrofluorimetric PLS modelling: application to phenol, o-cresol, m-cresol and p-cresol mixtures
  96. Hybrid toxicology expert system: architecture and implementation of a multi-domain hybrid expert system for toxicology
  97. 3D-modelling and prediction by WHIM descriptors. Part 9. Chromatographic relative retention time and physico-chemical properties of polychlorinated biphenyls (PCBs)
  98. 30-Modelling and Prediction by WHIM Descriptors. Part 8. Toxicity and Physico-chemical Properties of Environmental Priority Chemicals by 2D-TI and 3D-WHIM Descriptors
  99. Hydroxylamine-Induced Cleavage of the Asparaginyl–Glycine Motif in the Production of Recombinant Proteins: The Case of Insulin-like Growth Factor I
  100. Data correlation, number of significant principal components and shape of molecules. The K correlation index
  101. Modeling and prediction of molecular properties. Theory of grid-weighted holistic invariant molecular (G-WHIM) descriptors
  102. 3D-modelling and Prediction by WHIM Descriptors. Part 6. Application of WHIM Descriptors in QSAR Studies
  103. SD-modelling and Prediction by WHIM Descriptors. Part 5. Theory Development and Chemical Meaning of WHIM Descriptors
  104. Modeling and prediction by using WHIM descriptors in QSAR studies: submitochondrial particles (SMP) as toxicity blosensors of chlorophenols
  105. Data Analysis Handbook
  106. Modeling and prediction by using whim descriptors in QSAR studies: toxicity of heterogeneous chemicals on Daphnia magna
  107. Submitochondrial particles as toxicity biosensors of chlorophenols
  108. Weighted holistic invariant molecular descriptors. Part 2. Theory development and applications on modeling physicochemical properties of polyaromatic hydrocarbons
  109. Preface
  110. Weighted holistic invariant molecular descriptors. Part 2. Theory development and applications on modeling physicochemical properties of polyaromatic hydrocarbons
  111. SUBMITOCHONDRIAL PARTICLES AS TOXICITY BIOSENSORS OF CHLOROPHENOLS
  112. Determination of platinum in plasma of patients affected by inoperable lung carcinoma treated with radiotherapy and concurrent low-dose continuous infusion ofcis-dichlorodiammine platinum(II)
  113. 3D QSAR The Integration of QSAR with Molecular Modeling
  114. New molecular descriptors for 2D and 3D structures. Theory
  115. A 3D QSAR approach to the search for geometrical similarity in a series of nonpeptide angiotensin II receptor antagonists
  116. Chemometric approaches in environmental problems concerning PCDD and PCDF. Data interpretation and source correlation. Mechanisms of formation and destruction in MSW combustion process
  117. Factors affecting cytochrome P-450 and horseradish peroxidase-catalyzed oxidative N-dealkylation of aromatic tertiary amines. A multivariate approach
  118. Linear discriminant hierarchical clustering: A modeling and cross-validable divisive clustering method
  119. Structure-activity relationships of non-peptide Angiotensin II antagonists
  120. Linear discriminant classification tree: A user-driven multicriteria classification method
  121. A new algorithm for optimal, distance-based experimental design
  122. The chemical meaning of topological indices
  123. Pharmacophore identification by molecular modeling and chemometrics: The case of HMG-CoA reductase inhibitors
  124. Structure-activity relationship of Ca2+ channel blockers: A study using conformational analysis and chemometric methods
  125. Rabbit nest construction and its relationship with litter development
  126. Chemometric optimization of the ruthenium carbonyl catalysed cyclization of 2-nitrostilbene to 2-phenylindole
  127. A new procedure for the visual inspection of multivariate data of different geographic origins
  128. A fast method for the calculation of partial least squares coefficients
  129. A chemometric approach for evaluating the efficiency of a pilot plant for MSW combustion
  130. Weighted k-Nearest Neighbour Method for the Calculation of Missing Values
  131. Response surface models for the formation of PCDD and PCDF in a pilot plant combustion of MSW
  132. Pharmacophore Identification in Amnesia-Reversal Compounds Using Conformational Analysis and Chemometric Methods
  133. School of Chemometrics, Cuenca, Ecuador, 8–12 May 1989
  134. k-nearest neighbour method: The influence of data transformations and metrics
  135. The combustion of municipal solid wastes and PCDD and PCDF emissions. Part 3. PCDD and PCDF in fly ash
  136. The combustion of municipal solid wastes and PCDD and PCDF emissions. Part 2. PCDD and PCDF in stack gases
  137. The combustion of municipal solid wastes and PCDD and PCDF emissions. Part 1. PCDD and PCDF in MSW
  138. The combustion of municipal solid wastes: PCDD and PCDF in MSW and in emissions. A chemometric approach
  139. PCDD and PCDF in emissions from the combustion of MSW in a pilot plant. Preliminary results
  140. Theoretical studies of stereoselective aldol condensations
  141. Lewis acid mediated aldol condensations using thioester silyl ketene acetals
  142. A theoretical conformational study of push–pull ethylenes. Part 1. Substituted methyleneimidazolidines
  143. Conformational studies of octalene and its benzo-derivatives
  144. Stereoselective aldol condensations via alkenyloxy dialkoxyboranes : mechanistic and stereochemical details
  145. The conformation of 1-vinylcyclohexene
  146. CONFORMATIONAL ANALYSIS OF TRIMETHYLPHOSPHITE AND ITS METAL COMPLEXES
  147. Conformation of bicyclo [n.1.0] derivatives
  148. Empirical force field calculations for bridged annulenes. II. 1,6‐ethano‐8,13‐methano‐ and 1,6:7,12‐bismethano‐‖14‖annulenes
  149. Crystal, molecular, and electronic structure of 13,13-difluoro-1,7-methano[12]annulene
  150. Conformation of bicyclo [n.1.0] Derivatives
  151. Geometry and energy of overcrowded ethylenes. II. Bornanylidene, fenchylidene, and bifluorenylidene derivatives
  152. Conformation of bicyclo[n.1.0] derivatives
  153. Conformational analysis of polysubstituted ethanes
  154. Empirical force field calculations for bridged annulenes
  155. Conformation of bicyclo[n.1.0] derivatives
  156. Electro-optical properties of the oxirane skeleton and the carbon–carbon bond in its derivatives
  157. Geometry and energy of tetra-tert-butylethylene
  158. Conformation of bicyclo[n.1.0]-compounds
  159. Molecular structure of strained polycyclic hydrocarbons. A MINDO/3 study of some bicyclo- and tricyclo-derivatives
  160. The molecular structure of vinyl azide
  161. Molecular conformation of cyclenes
  162. New 3D Molecular Descriptors: The WHIM theory and QSAR Applications
  163. Structure –Activity Relationships by Autocorrelation Descriptors and Genetic Algorithms
  164. New QSAR Modelling Approach Based on Ranking Models by Genetic Algorithms - Variable Subset Selection (GA-VSS)