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Pharmaceutical Perspectives of Nonlinear QSAR Strategies

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A Review of (Q)SAR Models for Skin and Eye Irritation and Corrosion
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Considerations and recent advances in QSAR models for cytochrome P450-mediated drug metabolism prediction
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Hybrid Scoring and Classification Approaches to Predict Human Pregnane X Receptor Activators
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Quantitative structure–pharmacokinetic/pharmacodynamic relationships
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Critical comparative analysis, validation and interpretation of SVM and PLS regression models in a QSAR study on HIV-1 protease inhibitors
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Predictive QSAR modeling of HIV reverse transcriptase inhibitor TIBO derivatives
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Classification models for CYP450 3A4 inhibitors and non-inhibitors
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Modeling the activity of furin inhibitors using artificial neural network
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QSAR models for 2-amino-6-arylsulfonylbenzonitriles and congeners HIV-1 reverse transcriptase inhibitors based on linear and nonlinear regression methods
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Development of QSAR models for predicting hepatocarcinogenic toxicity of chemicals
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QSAR study of Akt/protein kinase B (PKB) inhibitors using support vector machine
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Support vector machine and pharmacophore-based prediction models of multidrug-resistance protein 2 (MRP2) inhibitors
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Prediction of drug distribution within blood
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In silico screening of estrogen-like chemicals based on different nonlinear classification models
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Prediction of cytotoxicity data (CC50) of anti-HIV 5-pheny-l-phenylamino-1H-imidazole derivatives by artificial neural network trained with Levenberg–Marquardt algorithm
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Prediction of factor Xa inhibitors by machine learning methods
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Prediction of novel and selective TNF-alpha converting enzyme (TACE) inhibitors and characterization of correlative molecular descriptors by machine learning approaches
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In silico toxicology for the pharmaceutical sciences☆
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Quantitative structure–property relationship modeling of skin sensitization: A quantitative prediction
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Application of support vector machine (SVM) for prediction toxic activity of different data sets
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Classification structure–activity relationship (CSAR) studies for prediction of genotoxicity of thiophene derivatives
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REACH, non-testing approaches and the urgent need for a change in mind set
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Drug design by machine learning: support vector machines for pharmaceutical data analysis
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Support vector machine models in drug design: applications to drug transport processes and QSAR using simplex optimisations and variable selection
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Learning to improve the decision-making process in research
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Chapter 5 Recent Advances on in silico ADME Modeling
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Active Learning with Support Vector Machines in the Drug Discovery Process
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Random Forest: A Classification and Regression Tool for Compound Classification and QSAR Modeling
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Virtual Screening of Molecular Databases Using a Support Vector Machine
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QSAR Models for the Prediction of Binding Affinities to Human Serum Albumin Using the Heuristic Method and a Support Vector Machine
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Statistically Validated QSARs, Based on Theoretical Descriptors, for Modeling Aquatic Toxicity of Organic Chemicals in Pimephales promelas (Fathead Minnow)
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QSAR Model for Predicting Pesticide Aquatic Toxicity
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Classification of Highly Unbalanced CYP450 Data of Drugs Using Cost Sensitive Machine Learning Techniques
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Local and Global Quantitative Structure−Activity Relationship Modeling and Prediction for the Baseline Toxicity
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Contemporary QSAR Classifiers Compared
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ADME Evaluation in Drug Discovery. 7. Prediction of Oral Absorption by Correlation and Classification
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QSAR Study of Antimicrobial Activity of Some 3-Nitrocoumarins and Related Compounds
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Ligand-Based Models for the Isoform Specificity of Cytochrome P450 3A4, 2D6, and 2C9 Substrates
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Radial Basis Function Network-Based Transform for a Nonlinear Support Vector Machine as Optimized by a Particle Swarm Optimization Algorithm with Application to QSAR Studies
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A Probabilistic Approach to Classifying Metabolic Stability
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ADME Evaluation in Drug Discovery. 8. The Prediction of Human Intestinal Absorption by a Support Vector Machine
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Gradual in Silico Filtering for Druglike Substances
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Predictivity of QSAR
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Novel Inhibitors of Human Histone Deacetylase (HDAC) Identified by QSAR Modeling of Known Inhibitors, Virtual Screening, and Experimental Validation
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SVM Model for Virtual Screening of Lck Inhibitors
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New Hybrid Genetic Based Support Vector Regression as QSAR Approach for Analyzing Flavonoids-GABA(A) Complexes
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Virtual Screening of Abl Inhibitors from Large Compound Libraries by Support Vector Machines
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Ligand Prediction for Orphan Targets Using Support Vector Machines and Various Target-Ligand Kernels Is Dominated by Nearest Neighbor Effects
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Comparison of Multilabel and Single-Label Classification Applied to the Prediction of the Isoform Specificity of Cytochrome P450 Substrates
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Peer Reviewed: Meeting the Scientific Needs of Ecological Risk Assessment in a Regulatory Context
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Random Forests
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Statistical Learning Theory
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Computational approaches to predict drug metabolism
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Structure-based methods for the prediction of drug metabolism
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In Silico Prediction of Drug Properties
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Artificial Intelligence Approaches for Rational Drug Design and Discovery
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Drug Metabolism and Pharmacokinetics in Support of Drug Design
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Predicting the Volume of Distribution of Drugs in Humans
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Prediction of Compounds with Specific Pharmacodynamic, Pharmacokinetic or Toxicological Property by Statistical Learning Methods
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Regression Methods for Developing QSAR and QSPR Models to Predict Compounds of Specific Pharmacodynamic, Pharmacokinetic and Toxicological Properties
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Quantitative Structure Activity Relationships in Drug Metabolism
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Artificial Intelligence

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1016/j.comtox.2021.100207openalex-snapshot
Development of a QSAR model to predict comedogenic potential of some cosmetic ingredients
inferred← citeshttps://doi.org/10.1016/j.drudis.2011.10.022openalex-snapshot
The value of in silico chemistry in the safety assessment of chemicals in the consumer goods and pharmaceutical industries
inferred← citeshttps://doi.org/10.1016/j.drudis.2011.10.023openalex-snapshot
Toward in silico structure-based ADMET prediction in drug discovery
inferred← citeshttps://doi.org/10.1016/j.drudis.2025.104472openalex-snapshot
Disruptions in bioactivity driven by dose: a challenge for drug discovery
inferred← citeshttps://doi.org/10.1016/j.ejmcr.2026.100338openalex-snapshot
Recent advances in computational modelling, artificial intelligence, and in silico strategies for predicting adverse effects in skincare safety: A critical review
inferred← citeshttps://doi.org/10.1016/s1734-1140(12)70873-3openalex-snapshot
Prediction of enzyme activity with neural network models based on electronic and geometrical features of substrates
inferred← citeshttps://doi.org/10.1021/acs.jcim.7b00159openalex-snapshot
Applying Mondrian Cross-Conformal Prediction To Estimate Prediction Confidence on Large Imbalanced Bioactivity Data Sets
inferred← citeshttps://doi.org/10.1021/ci200186mopenalex-snapshot
A Binary Ant Colony Optimization Classifier for Molecular Activities
inferred← citeshttps://doi.org/10.1021/ci200615hopenalex-snapshot
Comparison of Random Forest and Pipeline Pilot Naïve Bayes in Prospective QSAR Predictions
inferred← citeshttps://doi.org/10.1021/ci500666mopenalex-snapshot
eCounterscreening: Using QSAR Predictions to Prioritize Testing for Off-Target Activities and Setting the Balance between Benefit and Risk
inferred← citeshttps://doi.org/10.1021/cr100222qopenalex-snapshot
Mechanisms of Chemical Carcinogenicity and Mutagenicity: A Review with Implications for Predictive Toxicology
inferred← citeshttps://doi.org/10.1038/srep36595openalex-snapshot
Predicting Subtype Selectivity for Adenosine Receptor Ligands with Three-Dimensional Biologically Relevant Spectrum (BRS-3D)
inferred← citeshttps://doi.org/10.1039/9781788018982-00533openalex-snapshot
Discovery Toxicology in Lead Optimization
inferred← citeshttps://doi.org/10.1039/c1md00044fopenalex-snapshot
Computational ligand-based rational design: role of conformational sampling and force fields in model development
inferred← citeshttps://doi.org/10.1080/17425255.2024.2330666openalex-snapshot
Predictive Modelling in pharmacokinetics: from in-silico simulations to personalized medicine
inferred← citeshttps://doi.org/10.1109/sai.2016.7555985openalex-snapshot
Recent advances for handling imbalancement and uncertainty in labelling in medicinal chemistry data analysis
inferred← citeshttps://doi.org/10.1142/s2737416525500711openalex-snapshot
Structural Modification of Aceclofenac to Design Enhanced COX-2 Inhibitors: A Medicinal and Toxicological Study
inferred← citeshttps://doi.org/10.11606/d.100.2018.tde-07062018-120939openalex-snapshot
Técnicas de transferência de aprendizagem aplicadas a modelos QSAR para regressão
inferred← citeshttps://doi.org/10.1201/b19189-5openalex-snapshot
REACH and Environmental Chemicals
inferred← citeshttps://doi.org/10.1371/journal.pone.0073587openalex-snapshot
In Silico Mechanistic Profiling to Probe Small Molecule Binding to Sulfotransferases
inferred← citeshttps://doi.org/10.20944/preprints202404.1013.v1openalex-snapshot
Computational Pharmaceutics: A Comprehensive Review of Past Achievements, Present Applications, and Future Challenges
inferred← citeshttps://doi.org/10.20944/preprints202404.1013.v2openalex-snapshot
Computational Pharmaceutics: A Comprehensive Review of Past Achievements, Present Applications, and Future Challenges
inferred← citeshttps://doi.org/10.2174/138920011795495259openalex-snapshot
Advances in Human Cytochrome P450 and Personalized Medicine
inferred← citeshttps://doi.org/10.2174/1389557518666180727164417openalex-snapshot
Aqueous Drug Solubility: What Do We Measure, Calculate and QSPR Predict?
inferred← citeshttps://doi.org/10.3389/fchem.2020.00726openalex-snapshot
Computational Approaches in Preclinical Studies on Drug Discovery and Development
inferred← citeshttps://doi.org/10.3866/pku.whxb201404161openalex-snapshot
Structure-Property Relationship for the Pharmacological and Toxicological Activity of Heterocyclic Compounds
inferred← citeshttps://doi.org/10.5451/unibas-005676976openalex-snapshot
"In silico" prediction of drug transport across physiological barriers
inferred← citeshttps://doi.org/10.5599/admet.532openalex-snapshot
Block relevance (BR) analysis and polarity descriptors in property-based drug design
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