On the public citation graph
Modeling Phospholipidosis Induction: Reliability and Warnings
0 signed · 90 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/bmc.845openalex-snapshot
Validated ion pair liquid chromatography/fluorescence detection method for assessing the variability of the loratadine metabolism occurring in bioequivalence studies
inferredcites →https://doi.org/10.1002/cpt1978246654openalex-snapshot
Lidocaine and its active metabolites
inferredcites →https://doi.org/10.1002/minf.201000164openalex-snapshot
In Silico Studies of the Relationship Between Chemical Structure and Drug Induced Phospholipidosis
inferredcites →https://doi.org/10.1002/minf.201200048openalex-snapshot
Construction and Consensus Performance of (Q)SAR Models for Predicting Phospholipidosis Using a Dataset of 743 Compounds
inferredcites →https://doi.org/10.1002/qsar.200960051openalex-snapshot
Similarity Based Descriptors – Useful for Classification of Substrates of the Human Multidrug Transporter P‐Glycoprotein?
inferredcites →https://doi.org/10.1007/bf00219265openalex-snapshot
Extraneuronal effects of 6-hydroxydopamine and extraneuronal uptake of noradrenaline
inferredcites →https://doi.org/10.1007/bf00491478openalex-snapshot
Comparative pharmacology of mianserin, its main metabolites and 6-azamianserin
inferredcites →https://doi.org/10.1007/s10565-006-0176-zopenalex-snapshot
Validation of an in vitro screen for phospholipidosis using a high-content biology platform
inferredcites →https://doi.org/10.1016/0002-9343(86)90488-2openalex-snapshot
Choice of drug and dosage regimen: Two important risk factors for aminoglycoside nephrotoxicity
inferredcites →https://doi.org/10.1016/0300-483x(94)90030-2openalex-snapshot
Ketoconazole-induced hepatic phospholipidosis in the mouse and its association with de-N-acetyl ketoconazole
inferredcites →https://doi.org/10.1016/0887-2333(94)90248-8openalex-snapshot
Cytotoxicity and lamellar body induction potential of a racemic benzamide antiarrhythmic compound and enantiomers in cultured rat hepatocytes
inferredcites →https://doi.org/10.1016/j.cbi.2004.09.003openalex-snapshot
Human and animal hepatocytes in vitro with extrapolation in vivo
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.taap.2006.10.015openalex-snapshot
Biomarkers to monitor drug-induced phospholipidosis
inferredcites →https://doi.org/10.1016/s0031-6997(25)00049-3openalex-snapshot
Cationic amphiphilic drugs and phospholipid storage disorder.
inferredcites →https://doi.org/10.1016/s0166-1280(99)00360-7openalex-snapshot
Molecular fields in quantitative structure–permeation relationships: the VolSurf approach
inferredcites →https://doi.org/10.1016/s0940-2993(96)80022-4openalex-snapshot
Suramin-induced ultrastructural changes in the testis of albino rats
inferredcites →https://doi.org/10.1016/s1093-3263(00)00068-1openalex-snapshot
A widely applicable set of descriptors
inferredcites →https://doi.org/10.1016/s1388-1981(02)00361-xopenalex-snapshot
Characterisation of a potential biomarker of phospholipidosis from amiodarone-treated rats
inferredcites →https://doi.org/10.1021/ac200683kopenalex-snapshot
Predicting Phospholipidosis: A Fluorescence Noncell Based in Vitro Assay for the Determination of Drug–Phospholipid Complex Formation in Early Drug Discovery
inferredcites →https://doi.org/10.1021/ci300155yopenalex-snapshot
In silico Prediction of Total Human Plasma Clearance
inferredcites →https://doi.org/10.1021/ci3001875openalex-snapshot
Structure Based Model for the Prediction of Phospholipidosis Induction Potential of Small Molecules
inferredcites →https://doi.org/10.1021/ci6004542openalex-snapshot
Evaluation of a Published in Silico Model and Construction of a Novel Bayesian Model for Predicting Phospholipidosis Inducing Potential
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/jm0611105openalex-snapshot
In Silico and In Vitro Filters for the Fast Estimation of Skin Permeation and Distribution of New Chemical Entities
inferredcites →https://doi.org/10.1021/jm201082aopenalex-snapshot
In Silico Assay for Assessing Phospholipidosis Potential of Small Druglike Molecules: Training, Validation, and Refinement Using Several Data Sets
inferredcites →https://doi.org/10.1021/jm7013953openalex-snapshot
Assessment of Drug−Lipid Complex Formation by a High-Throughput Langmuir-Balance and Correlation to Phospholipidosis
inferredcites →https://doi.org/10.1021/jm9004658openalex-snapshot
In Silico Prediction of Volume of Distribution in Human Using Linear and Nonlinear Models on a 669 Compound Data Set
inferredcites →https://doi.org/10.1021/jm990968+openalex-snapshot
Predicting Blood−Brain Barrier Permeation from Three-Dimensional Molecular Structure
inferredcites →https://doi.org/10.1021/mp100103eopenalex-snapshot
Predicting Phospholipidosis Using Machine Learning
inferredcites →https://doi.org/10.1021/tx9003825openalex-snapshot
Phospholipidosis as a Function of Basicity, Lipophilicity, and Volume of Distribution of Compounds
inferredcites →https://doi.org/10.1038/ki.1984.69openalex-snapshot
Early effects of gentamicin, tobramycin, and amikacin on the human kidney
inferredcites →https://doi.org/10.1039/c1ra00131kopenalex-snapshot
hERG binding feature analysis of structurally diverse compounds by QSAR and fragmental analysis
inferredcites →https://doi.org/10.1078/0940-2993-00338openalex-snapshot
Use of physicochemical calculation of pKa and CLogP to predict phospholipidosis-inducing potential
inferredcites →https://doi.org/10.1080/15376510701857262openalex-snapshot
Development of a Phospholipidosis Database and Predictive Quantitative Structure-Activity Relationship (QSAR) Models
inferredcites →https://doi.org/10.1111/j.2042-7158.1986.tb04494.xopenalex-snapshot
The metabolism or atropine in man
inferredcites →https://doi.org/10.1124/dmd.31.5.580openalex-snapshot
Utility of Hepatocytes in Predicting Drug Metabolism: Comparison of Hepatic Intrinsic Clearance in Rats and Humans in Vivo and in Vitro
inferredcites →https://doi.org/10.1128/aac.43.5.1003openalex-snapshot
Aminoglycosides: Nephrotoxicity
inferredcites →https://doi.org/10.1152/ajplung.00434.2003openalex-snapshot
Effects of metabolites and analogs of amiodarone on alveolar macrophages: structure-activity relationship
inferredcites →https://doi.org/10.1177/0192623309352496openalex-snapshot
A Strategy for Risk Management of Drug-Induced Phospholipidosis
inferredcites →https://doi.org/10.1177/019262339702500111openalex-snapshot
Cationic Amphiphilic Drug-Induced Phospholipidosis
inferredcites →https://doi.org/10.1177/153537020122600903openalex-snapshot
Drug-Induced Phospholipidosis: Are There Functional Consequences?
inferredcites →https://doi.org/10.1289/ehp.845553openalex-snapshot
Pulmonary and Generalized Lysosomal Storage Induced by Amphiphilic Drugs
inferredcites →https://doi.org/10.1293/tox.21.9openalex-snapshot
Drug-induced Phospholipidosis -Pathological Aspects and Its Prediction
inferredcites →https://doi.org/10.1517/14740338.5.4.567openalex-snapshot
Drug-induced phospholipidosis: issues and future directions
inferredcites →https://doi.org/10.2131/jts.31.315openalex-snapshot
PHYSICOCHEMICAL AND CELL-BASED APPROACH FOR EARLY SCREENING OF PHOSPHOLIPIDOSIS-INDUCING POTENTIAL
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9781118819586.ch10openalex-snapshot
In Silico Approaches to Address Compound Attrition
inferred← citeshttps://doi.org/10.1002/9781118978320.ch20openalex-snapshot
Lysosomes and Phospholipidosis in Drug Development and Regulation
inferred← citeshttps://doi.org/10.1002/cmdc.201400027openalex-snapshot
Nonlinear Dimensionality Reduction for Visualizing Toxicity Data: Distance‐Based Versus Topology‐Based Approaches
inferred← citeshttps://doi.org/10.1002/cmdc.201600121openalex-snapshot
Comparing Drug Images and Repurposing Drugs with BioGPS and FLAPdock: The Thymidylate Synthase Case
inferred← citeshttps://doi.org/10.1007/s00044-017-2093-5openalex-snapshot
Synthesis and phospholipidosis effect of a series of cationic amphiphilic compounds: a case study to evaluate in silico and in vitro assays
inferred← citeshttps://doi.org/10.1016/b978-0-12-409547-2.12384-4openalex-snapshot
Drug-Induced Liver Injury: Mechanism-Informed Prediction in Drug Development
inferred← citeshttps://doi.org/10.1016/j.bcp.2015.03.017openalex-snapshot
A role for the autophagy regulator Transcription Factor EB in amiodarone-induced phospholipidosis
inferred← citeshttps://doi.org/10.1016/j.biopha.2020.110582openalex-snapshot
Existing highly accumulating lysosomotropic drugs with potential for repurposing to target COVID-19
inferred← citeshttps://doi.org/10.1016/j.bmc.2014.08.021openalex-snapshot
Computational identification of a phospholipidosis toxicophore using 13C and 15N NMR-distance based fingerprints
inferred← citeshttps://doi.org/10.1016/j.chembiol.2023.09.003openalex-snapshot
A machine learning and live-cell imaging tool kit uncovers small molecules induced phospholipidosis
inferred← citeshttps://doi.org/10.1016/j.colsurfb.2015.09.003openalex-snapshot
Phospholipidosis effect of drugs by adsorption into lipid monolayers
inferred← citeshttps://doi.org/10.1016/j.comtox.2022.100226openalex-snapshot
Development of an in silico consensus model for the prediction of the phospholipigenic potential of small molecules
inferred← citeshttps://doi.org/10.1016/j.drudis.2022.04.001openalex-snapshot
Repurposing drugs as COVID-19 therapies: A toxicity evaluation
inferred← citeshttps://doi.org/10.1016/j.ejmech.2014.12.028openalex-snapshot
Evaluating the risk of phospholipidosis using a new multidisciplinary pipeline approach
inferred← citeshttps://doi.org/10.1016/j.jconrel.2023.10.014openalex-snapshot
The alpha-adrenergic antagonist prazosin promotes cytosolic siRNA delivery from lysosomal compartments
inferred← citeshttps://doi.org/10.1016/j.jlr.2021.100089openalex-snapshot
Inhibition of lysosomal phospholipase A2 predicts drug-induced phospholipidosis
inferred← citeshttps://doi.org/10.1016/j.tet.2016.04.056openalex-snapshot
Polarity study of ionic liquids with the solvatochromic dye Nile Red: a QSPR approach using in silico VolSurf+ descriptors
inferred← citeshttps://doi.org/10.1016/j.toxicon.2014.06.011openalex-snapshot
Okadaic acid: A rapid inducer of lamellar bodies in small intestinal enterocytes
inferred← citeshttps://doi.org/10.1016/j.trac.2017.09.009openalex-snapshot
Overview of experimental and computational methods for the determination of the pKa values of 5-fluorouracil, cyclophosphamide, ifosfamide, imatinib and methotrexate
inferred← citeshttps://doi.org/10.1016/j.xphs.2018.11.001openalex-snapshot
Quantification of Intracellular Accumulation and Retention of Lysosomotropic Macrocyclic Compounds by High-Throughput Imaging of Lysosomal Changes
inferred← citeshttps://doi.org/10.1021/acs.chemrestox.5b00407openalex-snapshot
Toxicology Strategies for Drug Discovery: Present and Future
inferred← citeshttps://doi.org/10.1021/acs.chemrestox.6b00459openalex-snapshot
Use of the Distribution Coefficient in Brain Polar Lipids for the Assessment of Drug-Induced Phospholipidosis Risk
inferred← citeshttps://doi.org/10.1021/acs.chemrestox.9b00364openalex-snapshot
A Novel Lipidomics-Based Approach to Evaluating the Risk of Clinical Hepatotoxicity Potential of Drugs in 3D Human Microtissues
inferred← citeshttps://doi.org/10.1021/acs.jmedchem.4c01235openalex-snapshot
Between Theory and Practice: Computational/Experimental Integrated Approaches to Understand the Solubility and Lipophilicity of PROTACs
inferred← citeshttps://doi.org/10.1021/acs.molpharmaceut.3c00964openalex-snapshot
AMALPHI: A Machine Learning Platform for Predicting Drug-Induced PhospholIpidosis
inferred← citeshttps://doi.org/10.1021/acsnano.0c00666openalex-snapshot
Cationic Amphiphilic Drugs Boost the Lysosomal Escape of Small Nucleic Acid Therapeutics in a Nanocarrier-Dependent Manner
inferred← citeshttps://doi.org/10.1021/acsomega.6c00013openalex-snapshot
Drug-Induced Phospholipidosis as an Artifact in Antiviral Drug Repurposing
inferred← citeshttps://doi.org/10.1021/ci500233kopenalex-snapshot
How Does the Quality of Phospholipidosis Data Influence the Predictivity of Structural Alerts?
inferred← citeshttps://doi.org/10.1021/jm5007098openalex-snapshot
Flavin Monooxygenase Metabolism: Why Medicinal Chemists Should Matter
inferred← citeshttps://doi.org/10.1038/s41540-017-0022-3openalex-snapshot
Comparing structural and transcriptional drug networks reveals signatures of drug activity and toxicity in transcriptional responses
inferred← citeshttps://doi.org/10.1039/9781788016414-00382openalex-snapshot
Drug-induced Phospholipidosis
inferred← citeshttps://doi.org/10.1039/c5tx00055fopenalex-snapshot
Computational toxicology, friend or foe?
inferred← citeshttps://doi.org/10.1039/c6tx00071aopenalex-snapshot
A QSPR approach to the ecotoxicity of ionic liquids (Vibrio fischeri) using VolSurf principal properties
inferred← citeshttps://doi.org/10.1080/1062936x.2015.1120778openalex-snapshot
Modelling the aquatic toxicity of ionic liquids by means of VolSurfin silicodescriptors
inferred← citeshttps://doi.org/10.1080/1062936x.2016.1156571openalex-snapshot
Cyto- and enzyme toxicities of ionic liquids modelled on the basis of VolSurf+ descriptors and their principal properties
inferred← citeshttps://doi.org/10.1177/0192623317749452openalex-snapshot
Characterizing Adversity of Lysosomal Accumulation in Nonclinical Toxicity Studies: Results from the 5th ESTP International Expert Workshop
inferred← citeshttps://doi.org/10.1186/1758-2946-6-10openalex-snapshot
Cross-validation pitfalls when selecting and assessing regression and classification models
inferred← citeshttps://doi.org/10.1186/1758-2946-6-20openalex-snapshot
Supervised extensions of chemography approaches: case studies of chemical liabilities assessment
inferred← citeshttps://doi.org/10.1201/b18607-20openalex-snapshot
Biological Impact of Membranous Nanostructures
inferred← citeshttps://doi.org/10.1371/journal.pone.0169910openalex-snapshot
Predicting the Metabolic Sites by Flavin-Containing Monooxygenase on Drug Molecules Using SVM Classification on Computed Quantum Mechanics and Circular Fingerprints Molecular Descriptors
inferred← citeshttps://doi.org/10.2131/jts.41.155openalex-snapshot
Detection of metabolic activation leading to drug-induced phospholipidosis in rat hepatocyte spheroids
inferred← citeshttps://doi.org/10.3390/ijms20235938openalex-snapshot
QSAR Models for Predicting Five Levels of Cellular Accumulation of Lysosomotropic Macrocycles
inferred← citeshttps://doi.org/10.4018/ijqspr.20200701.oa2openalex-snapshot
Modeling Binary Fingerprint Descriptors With the Superposing Significant Interaction Rules (SSIR) Method
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.