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How Does the Methodology of 3D Structure Preparation Influence the Quality of pKa Prediction?

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/1521-3838(200211)21:5<457::aid-qsar457>3.0.co;2-5openalex-snapshot
Estimation of pKa Using Semiempirical Molecular Orbital Methods. Part 1: Application to Phenols and Carboxylic Acids.
inferredcites →https://doi.org/10.1002/jcc.20344openalex-snapshot
Optimized and parallelized implementation of the electronegativity equalization method and the atom‐bond electronegativity equalization method
inferredcites →https://doi.org/10.1002/jcc.540141208openalex-snapshot
Estimation of pKa for organic oxyacids using calculated atomic charges
inferredcites →https://doi.org/10.1002/prot.21110openalex-snapshot
Development, validation, and application of adapted PEOE charges to estimate pKa values of functional groups in protein–ligand complexes
inferredcites →https://doi.org/10.1002/qua.10108openalex-snapshot
Comparison of different atomic charge schemes for predicting p K a variations in substituted anilines and phenols*
inferredcites →https://doi.org/10.1002/qua.1525openalex-snapshot
Substituent effects on the physical properties and pKa of phenol
inferredcites →https://doi.org/10.1002/qua.22343openalex-snapshot
Correlations between quantum chemical indices and the pKas of a diverse set of organic phenols
inferredcites →https://doi.org/10.1007/s001090000084openalex-snapshot
Recent developments in structure-based drug design
inferredcites →https://doi.org/10.1007/s00894-005-0050-6openalex-snapshot
Application of artificial neural networks for predicting the aqueous acidity of various phenols using QSAR
inferredcites →https://doi.org/10.1007/s11095-013-1232-zopenalex-snapshot
Comparison of the Accuracy of Experimental and Predicted pKa Values of Basic and Acidic Compounds
inferredcites →https://doi.org/10.1016/0045-6535(72)90037-9openalex-snapshot
Beiträge zur ökologischen chemie L
inferredcites →https://doi.org/10.1016/j.jpba.2012.04.021openalex-snapshot
Comparative evaluation of pKa prediction tools on a drug discovery dataset
inferredcites →https://doi.org/10.1016/j.neuroimage.2010.11.004openalex-snapshot
Introduction to machine learning for brain imaging
inferredcites →https://doi.org/10.1016/s0045-6535(98)00172-6openalex-snapshot
Estimating the pKa of phenols, carboxylic acids and alcohols from semi-empirical quantum chemical methods
inferredcites →https://doi.org/10.1016/s1574-1400(09)00513-1openalex-snapshot
Annual Reports in Computational Chemistry
inferredcites →https://doi.org/10.1021/ci050505eopenalex-snapshot
Toward an Alternative Hardness Kernel Matrix Structure in the Electronegativity Equalization Method (EEM)
inferredcites →https://doi.org/10.1021/ci060129dopenalex-snapshot
Prediction of pKa Values for Aliphatic Carboxylic Acids and Alcohols with Empirical Atomic Charge Descriptors
inferredcites →https://doi.org/10.1021/ci100031xopenalex-snapshot
Conformer Generation with OMEGA: Algorithm and Validation Using High Quality Structures from the Protein Databank and Cambridge Structural Database
inferredcites →https://doi.org/10.1021/ci200133wopenalex-snapshot
Predicting pKa Values of Substituted Phenols from Atomic Charges: Comparison of Different Quantum Mechanical Methods and Charge Distribution Schemes
inferredcites →https://doi.org/10.1021/ci500585wopenalex-snapshot
Best of Both Worlds: Combining Pharma Data and State of the Art Modeling Technology To Improve in Silico pKa Prediction
inferredcites →https://doi.org/10.1021/ci600285nopenalex-snapshot
Estimation of pKa for Druglike Compounds Using Semiempirical and Information-Based Descriptors
inferredcites →https://doi.org/10.1021/ci600295zopenalex-snapshot
Modeling Robust QSAR. 2. Iterative Variable Elimination Schemes for CoMSA: Application for Modeling Benzoic Acid pKaValues
inferredcites →https://doi.org/10.1021/ci6005646openalex-snapshot
Generating Conformer Ensembles Using a Multiobjective Genetic Algorithm
inferredcites →https://doi.org/10.1021/ci900209wopenalex-snapshot
Predicting pKa
inferredcites →https://doi.org/10.1021/cr00023a012openalex-snapshot
From atoms and bonds to three-dimensional atomic coordinates: automatic model builders
inferredcites →https://doi.org/10.1021/ja00275a013openalex-snapshot
Electronegativity-equalization method for the calculation of atomic charges in molecules
inferredcites →https://doi.org/10.1021/jp020547vopenalex-snapshot
The Electronegativity Equalization Method II: Applicability of Different Atomic Charge Schemes
inferredcites →https://doi.org/10.1021/jp046928lopenalex-snapshot
High-Speed Calculation of AIM Charges through the Electronegativity Equalization Method
inferredcites →https://doi.org/10.1039/cs9952400279openalex-snapshot
QSPR: the correlation and quantitative prediction of chemical and physical properties from structure
inferredcites →https://doi.org/10.1071/ch14040openalex-snapshot
Predicting pKa in Implicit Solvents: Current Status and Future Directions*
inferredcites →https://doi.org/10.1080/10629360701698761openalex-snapshot
QSAR modelling of water quality indices of alkylphenol pollutants
inferredcites →https://doi.org/10.1093/bioinformatics/btk037openalex-snapshot
BioShell—a package of tools for structural biology computations
inferredcites →https://doi.org/10.1093/bioinformatics/btm627openalex-snapshot
Utility library for structural bioinformatics
inferredcites →https://doi.org/10.1093/nar/gkm289openalex-snapshot
Frog: a FRee Online druG 3D conformation generator
inferredcites →https://doi.org/10.1186/1758-2946-3-33openalex-snapshot
Open Babel: An open chemical toolbox
inferredcites →https://doi.org/10.1186/1758-2946-3-s1-p16openalex-snapshot
QSPR designer – a program to design and evaluate QSPR models. Case study on pKaprediction
inferredcites →https://doi.org/10.1186/1758-2946-5-18openalex-snapshot
Predicting pK a values from EEM atomic charges
inferredcites →https://doi.org/10.2174/138620711795508403openalex-snapshot
Predicting the pKa of Small Molecules
inferredcites →https://doi.org/10.3390/i8070572openalex-snapshot
Electronegativity Equalization Method: Parameterization and Validation for Large Sets of Organic, Organohalogene and Organometal Molecule

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s10822-018-0169-zopenalex-snapshot
SAMPL6 challenge results from $$pK_a$$ predictions based on a general Gaussian process model
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2017.09.033openalex-snapshot
High-throughput in-silico prediction of ionization equilibria for pharmacokinetic modeling
inferred← citeshttps://doi.org/10.1021/acs.chemrev.6b00662openalex-snapshot
Computational Modeling and Simulation of CO2Capture by Aqueous Amines
inferred← citeshttps://doi.org/10.1021/acs.jctc.6b00446openalex-snapshot
Computing p K a Values in Different Solvents by Electrostatic Transformation
inferred← citeshttps://doi.org/10.1093/nar/gkag511openalex-snapshot
PROPTIMUS LIVE: local constrained α-carbon optimization of proteins
inferred← citeshttps://doi.org/10.1101/2025.11.24.690085openalex-snapshot
Per-residue optimisation of protein structures: Rapid alternative to optimisation with constrained alpha carbons
inferred← citeshttps://doi.org/10.1186/s13321-015-0099-xopenalex-snapshot
AtomicChargeCalculator: interactive web-based calculation of atomic charges in large biomolecular complexes and drug-like molecules
inferred← citeshttps://doi.org/10.1186/s13321-015-0107-1openalex-snapshot
High-quality and universal empirical atomic charges for chemoinformatics applications
inferred← citeshttps://doi.org/10.1186/s13321-016-0171-1openalex-snapshot
NEEMP: software for validation, accurate calculation and fast parameterization of EEM charges
inferred← citeshttps://doi.org/10.1186/s13321-021-00528-wopenalex-snapshot
Optimized SQE atomic charges for peptides accessible via a web application
inferred← citeshttps://doi.org/10.26434/chemrxiv.6406505.v1openalex-snapshot
SAMPL6 Challenge Results from pKa Predictions Based on a General Gaussian Process Model
inferred← citeshttps://doi.org/10.3389/fmolb.2022.1042720openalex-snapshot
In silico prediction of siRNA ionizable-lipid nanoparticles In vivo efficacy: Machine learning modeling based on formulation and molecular descriptors
inferred← citeshttps://doi.org/10.3390/biom10030461openalex-snapshot
BioShell 3.0: Library for Processing Structural Biology Data
inferred← citeshttps://doi.org/10.6084/m9.figshare.14889555openalex-snapshot
Additional file 1 of Optimized SQE atomic charges for peptides accessible via a web application
inferred← citeshttps://doi.org/10.6084/m9.figshare.14889570openalex-snapshot
Additional file 5 of Optimized SQE atomic charges for peptides accessible via a web application
inferred← citeshttps://doi.org/10.6084/m9.figshare.14889573openalex-snapshot
Additional file 6 of Optimized SQE atomic charges for peptides accessible via a web application
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