On the public citation graph

Best of Both Worlds: Combining Pharma Data and State of the Art Modeling Technology To Improve in Silico pKa Prediction

0 signed · 146 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1002/cbdv.200900117openalex-snapshot
Recent Advances in Physicochemical and ADMET Profiling in Drug Discovery
inferredcites →https://doi.org/10.1002/cmdc.200600168openalex-snapshot
In Silico ADMET Traffic Lights as a Tool for the Prioritization of HTS Hits
inferredcites →https://doi.org/10.1002/cmdc.200800384openalex-snapshot
CypScore: Quantitative Prediction of Reactivity toward Cytochromes P450 Based on Semiempirical Molecular Orbital Theory
inferredcites →https://doi.org/10.1002/jps.21494openalex-snapshot
Calculation of Molecular Lipophilicity: State-of-the-Art and Comparison of LogP Methods on more than 96,000 Compounds
inferredcites →https://doi.org/10.1002/minf.201000061openalex-snapshot
Best Practices for QSAR Model Development, Validation, and Exploitation
inferredcites →https://doi.org/10.1002/qsar.200390007openalex-snapshot
The Importance of Being Earnest: Validation is the Absolute Essential for Successful Application and Interpretation of QSPR Models
inferredcites →https://doi.org/10.1002/qsar.200960036openalex-snapshot
Comparative Evaluation of in Silico pKa Prediction Tools on the Gold Standard Dataset
inferredcites →https://doi.org/10.1007/s00216-003-2390-3openalex-snapshot
Determination of microscopic acid?base parameters from NMR?pH titrations
inferredcites →https://doi.org/10.1007/s006040170073openalex-snapshot
Multiwavelength Spectrophotometric Resolution of the Micro-Equilibria of a Triprotic Amphoteric Drug: Methacycline
inferredcites →https://doi.org/10.1007/s10822-007-9162-7openalex-snapshot
QSAR: dead or alive?
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/j.ejmech.2010.06.026openalex-snapshot
Extending pKa prediction accuracy: High-throughput pKa measurements to understand pKa modulation of new chemical series
inferredcites →https://doi.org/10.1016/j.ejps.2009.03.001openalex-snapshot
Triprotic acid–base microequilibria and pharmacokinetic sequelae of cetirizine
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/s0003-2670(01)00810-8openalex-snapshot
Multi-wavelength spectrophotometric determination of acid dissociation constants: a validation study
inferredcites →https://doi.org/10.1016/s0378-5173(00)00673-6openalex-snapshot
Microionization constants: novel approach for the determination of the zwitterionic equilibrium of hydroxyphenylalkylamines by photometric titration
inferredcites →https://doi.org/10.1016/s1093-3263(01)00123-1openalex-snapshot
Beware of q2!
inferredcites →https://doi.org/10.1016/s1359-6446(05)03700-1openalex-snapshot
Improving the hit-to-lead process: data-driven assessment of drug-like and lead-like screening hits
inferredcites →https://doi.org/10.1021/ac00111a012openalex-snapshot
Complete Resolution of the Microscopic Protonation Equilibria of D-myo-Inositol 1,2,6-Tris(phosphate) and Related Compounds by 31P NMR and Potentiometry
inferredcites →https://doi.org/10.1021/ci010132ropenalex-snapshot
Reoptimization of MDL Keys for Use in Drug Discovery
inferredcites →https://doi.org/10.1021/ci0503210openalex-snapshot
In Silico Prediction of Buffer Solubility Based on Quantum-Mechanical and HQSAR- and Topology-Based Descriptors
inferredcites →https://doi.org/10.1021/ci100019popenalex-snapshot
Evaluation of pKa Estimation Methods on 211 Druglike Compounds
inferredcites →https://doi.org/10.1021/ci700018yopenalex-snapshot
New and Original pKa Prediction Method Using Grid Molecular Interaction Fields
inferredcites →https://doi.org/10.1021/ci700332kopenalex-snapshot
The Trouble with QSAR (or How I Learned To Stop Worrying and Embrace Fallacy)
inferredcites →https://doi.org/10.1021/ci800304topenalex-snapshot
Similarity-Based Classifier Using Topomers to Provide a Knowledge Base for hERG Channel Inhibition
inferredcites →https://doi.org/10.1021/ci900161gopenalex-snapshot
Benchmark Data Set for in Silico Prediction of Ames Mutagenicity
inferredcites →https://doi.org/10.1021/ci900289xopenalex-snapshot
Comparison of Nine Programs Predicting p K a Values of Pharmaceutical Substances
inferredcites →https://doi.org/10.1021/ja00872a017openalex-snapshot
The Protonation of Indoles: Position of Protonation
inferredcites →https://doi.org/10.1021/ja00901a020openalex-snapshot
The Protonation of Pyrroles
inferredcites →https://doi.org/10.1021/jm701122qopenalex-snapshot
Generation of a Set of Simple, Interpretable ADMET Rules of Thumb
inferredcites →https://doi.org/10.1023/a:1018817617432openalex-snapshot
Multiwavelength Spectrophotometric Determination of Acid Dissociation Constants: Part II. First Derivative vs. Target Factor Analysis
inferredcites →https://doi.org/10.1023/a:1019133927929openalex-snapshot
Protonation microequilibrium treatment of polybasic compounds with any possible symmetry
inferredcites →https://doi.org/10.1080/00032710008543043openalex-snapshot
Multiwavelength Spectrophotometric Determination of Acid Dissociation Constants. Deconvolution of Binary Mixtures of Ionizable Compounds
inferredcites →https://doi.org/10.1080/10629360902949567openalex-snapshot
How not to develop a quantitative structure–activity or structure–property relationship (QSAR/QSPR)
inferredcites →https://doi.org/10.1111/j.1747-0285.2008.00747.xopenalex-snapshot
Combining Cluster Analysis, Feature Selection and Multiple Support Vector Machine Models for the Identification of Human Ether‐a‐go‐go Related Gene Channel Blocking Compounds
inferredcites →https://doi.org/10.1139/v59-273openalex-snapshot
PHYSICAL PROPERTIES OF ALKYL PYRROLES AND THEIR SALTS
inferredcites →https://doi.org/10.1201/b16128openalex-snapshot
Computational Approaches for the Prediction of pKa Values
inferredcites →https://doi.org/10.1517/17425255.2.1.139openalex-snapshot
High-throughput pKascreening and prediction amenable for ADME profiling
inferredcites →https://doi.org/10.2116/analsci.17.1203openalex-snapshot
Multiwavelength Spectrophotometric Resolution of the Micro-Equilibria of Cetirizine
inferredcites →https://doi.org/10.2174/092986709789578213openalex-snapshot
How to Recognize and Workaround Pitfalls in QSAR Studies: A Critical Review
inferredcites →https://doi.org/10.2174/138620711795508403openalex-snapshot
Predicting the pKa of Small Molecules
inferredcites →https://doi.org/10.2533/000942902777679911openalex-snapshot
Resolution of Microscopic Protonation Mechanisms in Polyprotic Molecules
inferredcites →https://doi.org/10.5860/choice.51-6506openalex-snapshot
Reference Module in Chemistry, Molecular Sciences and Chemical Engineering

What points at this work

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

inferred← citeshttps://doi.org/10.1002/9781118916926.ch10openalex-snapshot
In Silico Approaches to Predict Intestinal Permeability
inferred← citeshttps://doi.org/10.1002/9783527697847.ch2openalex-snapshot
Alternative Solid Forms: Salts
inferred← citeshttps://doi.org/10.1002/9783527806539.ch6iopenalex-snapshot
Prediction of ADME Properties
inferred← citeshttps://doi.org/10.1002/ange.202008528openalex-snapshot
Holistic Prediction of the p K a in Diverse Solvents Based on a Machine‐Learning Approach
inferred← citeshttps://doi.org/10.1002/anie.202008528openalex-snapshot
Holistic Prediction of the pKa in Diverse Solvents Based on a Machine‐Learning Approach
inferred← citeshttps://doi.org/10.1002/chem.202103477openalex-snapshot
In‐Situ Electronegativity and the Bridging of Chemical Bonding Concepts
inferred← citeshttps://doi.org/10.1002/cmdc.201500131openalex-snapshot
Freezing the Bioactive Conformation to Boost Potency: The Identification of BAY 85‐8501, a Selective and Potent Inhibitor of Human Neutrophil Elastase for Pulmonary Diseases
inferred← citeshttps://doi.org/10.1002/cmdc.201500346openalex-snapshot
Computational Chemistry in the Pharmaceutical Industry: From Childhood to Adolescence
inferred← citeshttps://doi.org/10.1002/cpdd.1385openalex-snapshot
Physiologically Based Pharmacokinetic Absorption Model for Pexidartinib to Evaluate the Impact of Meal Contents and Intake Timing on Drug Exposure
inferred← citeshttps://doi.org/10.1002/ddr.70182openalex-snapshot
Exploring Artificial Intelligence's Potential to Enhance Conventional Anticancer Drug Development
inferred← citeshttps://doi.org/10.1002/dta.2387openalex-snapshot
Experimental versus theoretical log D7.4, pKa and plasma protein binding values for benzodiazepines appearing as new psychoactive substances
inferred← citeshttps://doi.org/10.1002/mabi.202300366openalex-snapshot
Recent Progress in the Endosomal Escape Mechanism and Chemical Structures of Polycations for Nucleic Acid Delivery
inferred← citeshttps://doi.org/10.1002/minf.201800163openalex-snapshot
Predicting pKa for Small Molecules on Public and In‐house Datasets Using Fast Prediction Methods Combined with Data Fusion
inferred← citeshttps://doi.org/10.1002/minf.202400088openalex-snapshot
Best of both worlds: An expansion of the state of the art pKa model with data from three industrial partners
inferred← citeshttps://doi.org/10.1002/minf.202400296openalex-snapshot
Modeling Carbon Basicity
inferred← citeshttps://doi.org/10.1002/ps.4935openalex-snapshot
Predicting mammalian metabolism and toxicity of pesticides in silico
inferred← citeshttps://doi.org/10.1002/qua.25561openalex-snapshot
Quantum chemical prediction for complex organic molecules
inferred← citeshttps://doi.org/10.1007/978-1-0716-1787-8_2openalex-snapshot
Machine Learning Applied to the Modeling of Pharmacological and ADMET Endpoints
inferred← citeshttps://doi.org/10.1007/978-1-0716-2213-1_17openalex-snapshot
Use In Silico and In Vitro Methods to Screen Hepatotoxic Chemicals and CYP450 Enzyme Inhibitors
inferred← citeshttps://doi.org/10.1007/978-3-319-27282-5_59openalex-snapshot
Predicting ADME Properties of Chemicals
inferred← citeshttps://doi.org/10.1007/978-94-007-6169-8_59-1openalex-snapshot
Predicting ADME Properties of Chemicals
inferred← citeshttps://doi.org/10.1007/s10822-015-9865-0openalex-snapshot
Tales from the war on error: the art and science of curating QSAR data
inferred← citeshttps://doi.org/10.1007/s10822-018-0150-xopenalex-snapshot
Absolute and relative pKa predictions via a DFT approach applied to the SAMPL6 blind challenge
inferred← citeshttps://doi.org/10.1007/s10822-018-0167-1openalex-snapshot
An explicit-solvent hybrid QM and MM approach for predicting pKa of small molecules in SAMPL6 challenge
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/10.1007/s10822-020-00280-7openalex-snapshot
Standard state free energies, not pKas, are ideal for describing small molecule protonation and tautomeric states
inferred← citeshttps://doi.org/10.1007/s10822-021-00405-6openalex-snapshot
Multitask machine learning models for predicting lipophilicity (logP) in the SAMPL7 challenge
inferred← citeshttps://doi.org/10.1007/s10822-021-00411-8openalex-snapshot
Stacking Gaussian processes to improve $$pK_a$$ predictions in the SAMPL7 challenge
inferred← citeshttps://doi.org/10.1007/s10822-022-00480-3openalex-snapshot
Reliable gas-phase tautomer equilibria of drug-like molecule scaffolds and the issue of continuum solvation
inferred← citeshttps://doi.org/10.1007/s10822-023-00538-wopenalex-snapshot
Predicting absolute aqueous solubility by applying a machine learning model for an artificially liquid-state as proxy for the solid-state
inferred← citeshttps://doi.org/10.1007/s11426-024-2072-4openalex-snapshot
AI for organic and polymer synthesis
inferred← citeshttps://doi.org/10.1007/s40268-023-00426-6openalex-snapshot
Predictive Potential of Acido-Basic Properties, Solubility and Food on Bioequivalence Study Outcome: Analysis of 128 Studies
inferred← citeshttps://doi.org/10.1016/b978-0-12-409547-2.12373-xopenalex-snapshot
Human PK Prediction and Modeling
inferred← citeshttps://doi.org/10.1016/j.apsb.2022.11.010openalex-snapshot
MF-SuP-pKa: Multi-fidelity modeling with subgraph pooling mechanism for pKa prediction
inferred← citeshttps://doi.org/10.1016/j.bbrep.2020.100802openalex-snapshot
Inductive effects in amino acids and peptides: Ionization constants and tryptophan fluorescence
inferred← citeshttps://doi.org/10.1016/j.bmcl.2019.07.007openalex-snapshot
Discovery and optimization of pyridyl-cycloalkyl-carboxylic acids as inhibitors of microsomal prostaglandin E synthase-1 for the treatment of endometriosis
inferred← citeshttps://doi.org/10.1016/j.ces.2024.120559openalex-snapshot
Graph transformer based transfer learning for aqueous pK prediction of organic small molecules
inferred← citeshttps://doi.org/10.1016/j.ddtec.2018.04.001openalex-snapshot
Automated techniques in pKa determination: Low, medium and high-throughput screening methods
inferred← citeshttps://doi.org/10.1016/j.ddtec.2020.06.004openalex-snapshot
The art of atom descriptor design
inferred← citeshttps://doi.org/10.1016/j.drudis.2020.07.001openalex-snapshot
Bayer’s in silico ADMET platform: a journey of machine learning over the past two decades
inferred← citeshttps://doi.org/10.1016/j.drudis.2022.103372openalex-snapshot
Machine learning methods for pKa prediction of small molecules: Advances and challenges
inferred← citeshttps://doi.org/10.1016/j.drudis.2026.104827openalex-snapshot
ADMET all-inclusive: Accountability for the full end-to-end model life cycle is key to success
inferred← citeshttps://doi.org/10.1016/j.ejmech.2018.10.061openalex-snapshot
Second generation of diazachrysenes: Protection of Ebola virus infected mice and mechanism of action
inferred← citeshttps://doi.org/10.1016/j.ejpb.2016.03.001openalex-snapshot
Predicting biopharmaceutical performance of oral drug candidates – Extending the volume to dissolve applied dose concept
inferred← citeshttps://doi.org/10.1016/j.fct.2020.111313openalex-snapshot
Liver toxicity of anthraquinones: A combined in vitro cytotoxicity and in silico reverse dosimetry evaluation
inferred← citeshttps://doi.org/10.1016/j.pharmthera.2017.02.034openalex-snapshot
The impact of in silico screening in the discovery of novel and safer drug candidates
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/10.1016/j.yrtph.2022.105117openalex-snapshot
In silico predictions of absorption of MDI substances after dermal or inhalation exposures to support a category based read-across assessment
inferred← citeshttps://doi.org/10.1021/acs.jcim.0c00105openalex-snapshot
Predicting p K a Using a Combination of Semi-Empirical Quantum Mechanics and Radial Basis Function Methods
inferred← citeshttps://doi.org/10.1021/acs.jcim.1c00075openalex-snapshot
MolGpka: A Web Server for Small Molecule p K a Prediction Using a Graph-Convolutional Neural Network
inferred← citeshttps://doi.org/10.1021/acs.jcim.3c00187openalex-snapshot
pK50─A Rigorous Indicator of Individual Functional Group Acidity/Basicity in Multiprotic Compounds
inferred← citeshttps://doi.org/10.1021/acs.jcim.3c01923openalex-snapshot
Leveraging DFT and Molecular Fragmentation for Chemically Accurate pKa Prediction Using Machine Learning
inferred← citeshttps://doi.org/10.1021/acs.jcim.5b00172openalex-snapshot
Benefit of Retraining pKa Models Studied Using Internally Measured Data
inferred← citeshttps://doi.org/10.1021/acs.jcim.5b00580openalex-snapshot
The AIBLHiCoS Method: Predicting Aqueous pKa Values from Gas-Phase Equilibrium Bond Lengths
inferred← citeshttps://doi.org/10.1021/acs.jcim.6b00291openalex-snapshot
Informing the Human Plasma Protein Binding of Environmental Chemicals by Machine Learning in the Pharmaceutical Space: Applicability Domain and Limits of Predictability
inferred← citeshttps://doi.org/10.1021/acs.jcim.6c00107openalex-snapshot
Benchmarking p K a Prediction Algorithms against an Extensive, Public Data Set
inferred← citeshttps://doi.org/10.1021/acs.jcim.6c00255openalex-snapshot
p K a Predicting Models Trained with a Tautomer-Compatible Graph Dataset with Quantum Chemical Features
inferred← citeshttps://doi.org/10.1021/acs.jcim.6c00330openalex-snapshot
TripK a : Accurate and Scalable Acid–Base Dissociation Property Prediction via Triplet Interaction Networks and Physical Knowledge
inferred← citeshttps://doi.org/10.1021/acs.jcim.7b00537openalex-snapshot
Weighted Averaging Scheme and Local Atomic Descriptor for pKa Prediction Based on Density Functional Theory
inferred← citeshttps://doi.org/10.1021/acs.jcim.8b00151openalex-snapshot
Reliable and Performant Identification of Low-Energy Conformers in the Gas Phase and Water
inferred← citeshttps://doi.org/10.1021/acs.jcim.8b00955openalex-snapshot
Generation of Tautomers Using Micro-pKa’s
inferred← citeshttps://doi.org/10.1021/acs.jcim.9b00460openalex-snapshot
Prediction of Oral Bioavailability in Rats: Transferring Insights from in Vitro Correlations to (Deep) Machine Learning Models Using in Silico Model Outputs and Chemical Structure Parameters
inferred← citeshttps://doi.org/10.1021/acs.jcim.9b00498openalex-snapshot
Prediction of pKa Using Machine Learning Methods with Rooted Topological Torsion Fingerprints: Application to Aliphatic Amines
inferred← citeshttps://doi.org/10.1021/acs.jctc.3c00044openalex-snapshot
Epik: p K a and Protonation State Prediction through Machine Learning
inferred← citeshttps://doi.org/10.1021/acs.jctc.6b00404openalex-snapshot
Prediction of pKa Using DFT: the Nicotianamine Polyacid Example
inferred← citeshttps://doi.org/10.1021/acs.jctc.6b00805openalex-snapshot
Multiconformation, Density Functional Theory-Based p K a Prediction in Application to Large, Flexible Organic Molecules with Diverse Functional Groups
inferred← citeshttps://doi.org/10.1021/acs.jmedchem.0c00834openalex-snapshot
Potent and Selective Human Prostaglandin F (FP) Receptor Antagonist (BAY-6672) for the Treatment of Idiopathic Pulmonary Fibrosis (IPF)
inferred← citeshttps://doi.org/10.1021/acs.jmedchem.2c00441openalex-snapshot
BAY-069, a Novel (Trifluoromethyl)pyrimidinedione-Based BCAT1/2 Inhibitor and Chemical Probe
inferred← citeshttps://doi.org/10.1021/acs.jmedchem.2c01577openalex-snapshot
Trends in Molecular Properties, Bioavailability, and Permeability across the Bayer Compound Collection
inferred← citeshttps://doi.org/10.1021/acs.jmedchem.4c01709openalex-snapshot
Discovery and Characterization of BAY-184: A New Potent and Selective Acylsulfonamide-Benzofuran In Vivo-Active KAT6AB Inhibitor
inferred← citeshttps://doi.org/10.1021/acs.jmedchem.4c02492openalex-snapshot
Impact of Linker Composition on VHL PROTAC Cell Permeability
inferred← citeshttps://doi.org/10.1021/acs.jmedchem.5c01783openalex-snapshot
What, This “Base” Is Not a Base? Common Misconceptions about Aqueous Ionization That May Hinder Drug Discovery and Development
inferred← citeshttps://doi.org/10.1021/acs.jmedchem.7b00306openalex-snapshot
Benzoisoquinolinediones as Potent and Selective Inhibitors of BRPF2 and TAF1/TAF1L Bromodomains
inferred← citeshttps://doi.org/10.1021/acs.joc.1c01279openalex-snapshot
Predicting pKa Values of Quinols and Related Aromatic Compounds with Multiple OH Groups
inferred← citeshttps://doi.org/10.1021/acs.jpca.1c03463openalex-snapshot
Efficient Quantum-Chemical Calculations of Acid Dissociation Constants from Free-Energy Relationships
inferred← citeshttps://doi.org/10.1021/acs.jpca.1c05031openalex-snapshot
DFT-Machine Learning Approach for Accurate Prediction of pKa
inferred← citeshttps://doi.org/10.1021/acs.molpharmaceut.2c00040openalex-snapshot
Evaluation of the Success of High-Throughput Physiologically Based Pharmacokinetic (HT-PBPK) Modeling Predictions to Inform Early Drug Discovery
inferred← citeshttps://doi.org/10.1021/acsphyschemau.3c00029openalex-snapshot
Can an Amine Be a Weaker and a Stronger Base at the Same Time? Curious Cases of Chameleonic Ionization
inferred← citeshttps://doi.org/10.1021/ci500758wopenalex-snapshot
How Does the Methodology of 3D Structure Preparation Influence the Quality of pKa Prediction?
inferred← citeshttps://doi.org/10.1021/jacs.9b05895openalex-snapshot
Rapid and Accurate Prediction of pKa Values of C–H Acids Using Graph Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1021/jacsau.4c00952openalex-snapshot
Is Cocaine Protonated When it Binds to the Dopamine Transporter?
inferred← citeshttps://doi.org/10.1038/s42004-026-01983-yopenalex-snapshot
Development of a pKa predictor (pKaLearn) by leveraging teaching experience to improve machine learning
inferred← citeshttps://doi.org/10.1039/c8cp05029eopenalex-snapshot
An efficient protocol for computing the p K a of Zn-bound water
inferred← citeshttps://doi.org/10.1039/c9re00076copenalex-snapshot
The logic of translating chemical knowledge into machine-processable forms: a modern playground for physical-organic chemistry
inferred← citeshttps://doi.org/10.1039/d5cp00165jopenalex-snapshot
Thermodynamics-informed neural networks and extensive data sets: key factors to accurate blind predictions of apparent p K a values in the euroSAMPL challenge
inferred← citeshttps://doi.org/10.1039/d6ra02418aopenalex-snapshot
Digitized dataset of aqueous acid dissociation constants
inferred← citeshttps://doi.org/10.1080/07391102.2015.1085904openalex-snapshot
Developing imidazole analogues as potential inhibitor forLeishmania donovanitrypanothione reductase: virtual screening, molecular docking, dynamics and ADMET approach
inferred← citeshttps://doi.org/10.1080/07391102.2015.1135298openalex-snapshot
Febrifugine analogues as Leishmania donovani trypanothione reductase inhibitors: binding energy analysis assisted by molecular docking, ADMET and molecular dynamics simulation
inferred← citeshttps://doi.org/10.1080/17425255.2024.2366385openalex-snapshot
Investigative analysis of blood–brain barrier penetrating potential of electronic nicotine delivery systems (e-cigarettes) chemicals using predictive computational models
inferred← citeshttps://doi.org/10.1093/toxsci/kfy020openalex-snapshot
Evaluating In Vitro-In Vivo Extrapolation of Toxicokinetics
inferred← citeshttps://doi.org/10.1097/mnh.0000000000000147openalex-snapshot
Nonsteroidal antagonists of the mineralocorticoid receptor
inferred← citeshttps://doi.org/10.1139/cjc-2023-0152openalex-snapshot
Transfer learning graph representations of molecules for pKa, 13 C-NMR, and solubility
inferred← citeshttps://doi.org/10.1186/s13321-021-00524-0openalex-snapshot
Ensemble completeness in conformer sampling: the case of small macrocycles
inferred← citeshttps://doi.org/10.12688/f1000research.22090.1openalex-snapshot
Machine learning meets pKa
inferred← citeshttps://doi.org/10.18433/jpps32011openalex-snapshot
Simulation of Remdesivir Pharmacokinetics and Its Drug Interactions
inferred← citeshttps://doi.org/10.2174/0929867326666190711121418openalex-snapshot
Recent Theoretical Studies Concerning Important Tropical Infections
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/fendo.2022.1003017openalex-snapshot
Oral administration of VDAC1-derived small molecule peptides increases circulating testosterone levels in male rats
inferred← citeshttps://doi.org/10.3390/molecules26041048openalex-snapshot
Enhancing Carbon Acid pKa Prediction by Augmentation of Sparse Experimental Datasets with Accurate AIBL (QM) Derived Values
inferred← citeshttps://doi.org/10.3390/ph13080160openalex-snapshot
Simulation of Physicochemical and Pharmacokinetic Properties of Vitamin D3 and Its Natural Derivatives
inferred← citeshttps://doi.org/10.3390/ph16101407openalex-snapshot
Flavonoids in the Spotlight: Bridging the Gap between Physicochemical Properties and Formulation Strategies
inferred← citeshttps://doi.org/10.3390/pharmaceutics17050601openalex-snapshot
Evaluation of Violacein Metabolic Stability and Metabolite Identification in Human, Mouse, and Rat Liver Microsomes
inferred← citeshttps://doi.org/10.6084/m9.figshare.15080215openalex-snapshot
Additional file 1 of Ensemble completeness in conformer sampling: the case of small macrocycles
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.