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ADME Evaluation in Drug Discovery. 4. Prediction of Aqueous Solubility Based on Atom Contribution Approach

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Atomic Physicochemical Parameters for Three‐Dimensional Structure‐Directed Quantitative Structure‐Activity Relationships I. Partition Coefficients as a Measure of Hydrophobicity
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Development of an automatic estimation system for both the partition coefficient and aqueous solubility
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ADME evaluation in drug discovery
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Estimation of the aqueous solubility of complex organic compounds
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Group contribution methods to estimate water solubility of organic chemicals
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Estimation of aqueous solubility of organic molecules by the group contribution approach. Application to the study of biodegradation
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Estimation of the Aqueous Solubility of Organic Molecules by the Group Contribution Approach
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Prediction of Drug Solubility by the General Solubility Equation (GSE)
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Estimation of Aqueous Solubility of Chemical Compounds Using E-State Indices
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SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules
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CHEMTEXT
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Prediction of Aqueous Solubility of Heteroatom-Containing Organic Compounds from Molecular Structure
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Estimating the Water Solubilities of Crystalline Compounds from Their Chemical Structures Alone
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Development of Quantitative Structure−Property Relationship Models for Early ADME Evaluation in Drug Discovery. 1. Aqueous Solubility
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High-Throughput, In Silico Prediction of Aqueous Solubility Based on One- and Two-Dimensional Descriptors
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Modeling Aqueous Solubility
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Prediction of Aqueous Solubility of Organic Compounds Based on a 3D Structure Representation
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Prediction of Aqueous Solubility and Partition Coefficient Optimized by a Genetic Algorithm Based Descriptor Selection Method
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ADME Evaluation in Drug Discovery. 2. Prediction of Partition Coefficient by Atom-Additive Approach Based on Atom-Weighted Solvent Accessible Surface Areas
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ADME Evaluation in Drug Discovery. 3. Modeling Blood-Brain Barrier Partitioning Using Simple Molecular Descriptors
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Aqueous Solubility Prediction of Drugs Based on Molecular Topology and Neural Network Modeling
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Estimation of Aqueous Solubility for a Diverse Set of Organic Compounds Based on Molecular Topology
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Prediction of aqueous solubility of organic chemicals based on molecular structure. 2. Application to PNAs, PCBs, PCDDs, etc
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Evaluation of mass-transfer parameters for adsorption of organic compounds from complex organic matrixes
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Comment on "Prediction of aqueous solubility of organic chemicals based on molecular structure. 2. Application to PNAs, PCBs, PCDDs, etc."
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Reply to comments on "Preditction of aqueous solubility of organic chemicals based on molecular structure. 2. Application to PNAs, PCBs, PCDDs etc."
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Prediction of aqueous solubility of organic chemicals based on molecular structure
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Recent Development and Application of Virtual Screening in Drug Discovery: An Overview

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Molecular Descriptors, Structure Generation, and Inverse QSAR/QSPR Based on SELFIES
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Interpretation of Machine Learning Models for Data Sets with Many Features Using Feature Importance
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New Salicylanilide Derivatives and Their Peptide Conjugates as Anticancer Compounds: Synthesis, Characterization, and In Vitro Effect on Glioblastoma
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Evaluation and Optimization Methods for Applicability Domain Methods and Their Hyperparameters, Considering the Prediction Performance of Machine Learning Models
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Beyond MIDAS: An In Silico Study of a Putative Noncanonical C16 Binding Site in αvβ3 Integrin
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Design of Gold Extraction Solvents Using Machine Learning Models
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Binary Classification of Aqueous Solubility Using Support Vector Machines with Reduction and Recombination Feature Selection
inferred← citeshttps://doi.org/10.1021/ci300112jopenalex-snapshot
ADMET Evaluation in Drug Discovery. 11. PharmacoKinetics Knowledge Base (PKKB): A Comprehensive Database of Pharmacokinetic and Toxic Properties for Drugs
inferred← citeshttps://doi.org/10.1021/ci300445eopenalex-snapshot
3D Molecular Descriptors Important for Clinical Success
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Criterion for Evaluating the Predictive Ability of Nonlinear Regression Models without Cross-Validation
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Structural Similarity Based Kriging for Quantitative Structure Activity and Property Relationship Modeling
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Applicability Domain Based on Ensemble Learning in Classification and Regression Analyses
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Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach
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Development of Reliable Aqueous Solubility Models and Their Application in Druglike Analysis
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Development of a New Regression Analysis Method Using Independent Component Analysis
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Scores of Extended Connectivity Fingerprint as Descriptors in QSPR Study of Melting Point and Aqueous Solubility
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Aqueous Solubility Prediction Based on Weighted Atom Type Counts and Solvent Accessible Surface Areas
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Representation/Prediction of Solubilities of Pure Compounds in Water Using Artificial Neural Network−Group Contribution Method
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Bisphosphonate Inhibition of aPlasmodiumFarnesyl Diphosphate Synthase and a General Method for Predicting Cell-Based Activity from Enzyme Data
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Escape from Flatland: Increasing Saturation as an Approach to Improving Clinical Success
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A Systematic Investigation of Quaternary Ammonium Ions as Asymmetric Phase-Transfer Catalysts. Application of Quantitative Structure Activity/Selectivity Relationships
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ADME Evaluation in Drug Discovery. 9. Prediction of Oral Bioavailability in Humans Based on Molecular Properties and Structural Fingerprints
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ADME Evaluation in Drug Discovery. 10. Predictions of P-Glycoprotein Inhibitors Using Recursive Partitioning and Naive Bayesian Classification Techniques
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ADMET Evaluation in Drug Discovery. 12. Development of Binary Classification Models for Prediction of hERG Potassium Channel Blockage
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In Silico Prediction of Aqueous Solubility: A Multimodel Protocol Based on Chemical Similarity
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Will we ever be able to accurately predict solubility?
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Fragment Descriptors in SAR/QSAR/QSPR Studies, Molecular Similarity Analysis and in Virtual Screening
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A theoretical study of the activity in Rh-catalysed hydroformylation: the origin of the enhanced activity of the π-acceptor phosphinine ligand
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ConMedNP: a natural product library from Central African medicinal plants for drug discovery
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Unravelling the 2D self-assembly of Fmoc-dipeptides at fluid interfaces
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Theoretical exploration of 2,2′-bipyridines as electro-active compounds in flow batteries
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Are 2D fingerprints still valuable for drug discovery?
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Predicting small molecules solubility on endpoint devices using deep ensemble neural networks
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Synthesis, crystal structure, and antiviral evaluation of new imidazopyridine-schiff base derivatives: in vitro and in silico anti-HIV studies
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Prediction of Solubility Properties from Transfer Energies for Acidic Phosphorus-Containing Rare-Earth Extractants Using Implicit Solvation Model
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Predictive toxicity modelling of benzodiazepine drugs using multiplein silicoapproaches: descriptor-based QSTR, group-based QSTR and 3D-toxicophore mapping
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Classification models and SAR analysis on thromboxane A2 synthase inhibitors by machine learning methods
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Prediction of the Fate of Organic Compounds in the Environment From Their Molecular Properties: A Review
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Characterisation of data resources forin silicomodelling: benchmark datasets for ADME properties
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QSAR-assisted-MMPA to expand chemical transformation space for lead optimization
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A thermodynamic atlas of carbon redox chemical space
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Homology modeling of the three-dimensional structure of bovine serum albumin
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The Effect of Aqueous Solubility on the Biodegradation of Typical Pollutants in Coke Plant Wastewater
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Two‐ and Three‐dimensional Rings in Drugs
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Aberraciones cromosomales en bulbos de cebolla Allium cepa inducidas por moléculas híbridas 4-aminoquinolínicas
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A high-throughput experimentation platform for data-driven discovery in electrochemistry
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Anti-Helicobacter pylori Potential of Artemisinin and Its Derivatives
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Interpretable correlation descriptors for quantitative structure-activity relationships
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A rule-based algorithm for automatic bond type perception
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Drug-likeness analysis of traditional Chinese medicines: 1. property distributions of drug-like compounds, non-drug-like compounds and natural compounds from traditional Chinese medicines
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Towards a reliable prediction of the aquatic toxicity of dyes
inferred← citeshttps://doi.org/10.1186/s12900-016-0055-7openalex-snapshot
Structuprint: a scalable and extensible tool for two-dimensional representation of protein surfaces
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Prediction of organic compound aqueous solubility using machine learning: a comparison study of descriptor-based and fingerprints-based models
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Introduction
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Recent progress in the computational prediction of aqueous solubility and absorption
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Polymorphic and Quantum Chemistry Characterization of Candesartan Cilexetil: Importance for the Correct Drug Classification According to Biopharmaceutics Classification System
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Strategy of Structure Generation within Applicability Domains with One-Class Support Vector Machine
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QSPR Prediction of Aqueous Solubility of Drug-Like Organic Compounds
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Risk Prediction Method for Anticholinergic Action Using Auto-quantitative Structure–Activity Relationship and Docking Study with Molecular Operating Environment
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In silico study on prediction of bioactivity for regulation of new designer drugs
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Machine Learning in Computational Chemistry
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Anthelmintic Activity In Vivo of Epiisopiloturine against Juvenile and Adult Worms of Schistosoma mansoni
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BioPPSy: An Open-Source Platform for QSAR/QSPR Analysis
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Desenvolvimento de métodos eletroanalíticos simples, portáteis e de baixo custo para aplicações em análises forenses
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3. In Silico methods to predict solubility
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Predictive models for oral drug absorption: from in silico methods to integrated dynamical models
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4SCan/vADME: intelligent library screening as a shortcut from hits to lead compounds
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Applying machine learning techniques for ADME-Tox prediction: a review
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Structure – ADME relationship: still a long way to go?
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In silicoprediction of aqueous solubility
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De novodesign: balancing novelty and confined chemical space
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Pros and cons of methods used for the prediction of oral drug absorption
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First Principles Design of Anthraquinone Derivatives in Redox Flow Batteries
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GCIdentifier.jl: A Julia package for identifying molecular fragments from SMILES
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Comparative Analysis and Predictability of Symmetric Division Degree Index on PCB Congeners
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A Method to Define a Domain in Chemical Space Where Only Stable Molecular Structures Exist
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Quantitative analysis of aggregation-solubility relationship by in-silico solubility prediction
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Improving Early Drug Discovery through ADME Modelling
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Determination of pH-Solubility Profile and Development of Prediction Models for pH-Dependent Solubility of Atorvastatin Calcium
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Recent Progress of Deep Learning in Drug Discovery
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