On the public citation graph

Modeling Blood-Brain Barrier Partitioning Using the Electrotopological State

0 signed · 175 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1002/9780470125809openalex-snapshot
Reviews in Computational Chemistry
inferredcites →https://doi.org/10.1007/978-1-4899-1054-7_25openalex-snapshot
Designing Drugs for Optimal Nervous System Activity
inferredcites →https://doi.org/10.1016/0160-9327(86)90116-xopenalex-snapshot
Molecular connectivity in structure-activity analysis
inferredcites →https://doi.org/10.1016/s0731-7085(97)90017-0openalex-snapshot
Announcements
inferredcites →https://doi.org/10.1021/ci000043zopenalex-snapshot
High-Throughput Prediction of Blood−Brain Partitioning: A Thermodynamic Approach
inferredcites →https://doi.org/10.1021/ci0001435openalex-snapshot
QSAR Modeling with the Electrotopological State: TIBO Derivatives
inferredcites →https://doi.org/10.1021/ci980130fopenalex-snapshot
Modeling Antileukemic Activity of Carboquinones with Electrotopological State and Chi Indices
inferredcites →https://doi.org/10.1021/jm00034a001openalex-snapshot
Application of the Three-Dimensional Structures of Protein Target Molecules in Structure-Based Drug Design
inferredcites →https://doi.org/10.1021/jm00398a028openalex-snapshot
Development of a new physicochemical model for brain penetration and its application to the design of centrally acting H2 receptor histamine antagonists
inferredcites →https://doi.org/10.1021/jm00398a029openalex-snapshot
Renin inhibitors containing .psi.[CH2O] pseudopeptide inserts
inferredcites →https://doi.org/10.1021/jm960163ropenalex-snapshot
Computation of Brain−Blood Partitioning of Organic Solutes via Free Energy Calculations
inferredcites →https://doi.org/10.1021/jm990968+openalex-snapshot
Predicting Blood−Brain Barrier Permeation from Three-Dimensional Molecular Structure
inferredcites →https://doi.org/10.1201/9781482296945openalex-snapshot
Topological Indices and Related Descriptors in QSAR and QSPR

What points at this work

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

inferred← citeshttps://doi.org/10.1002/9780470915110.ch2openalex-snapshot
In SilicoADME/Tox Predictions
inferred← citeshttps://doi.org/10.1002/9783527621286.ch4openalex-snapshot
Electrotopological State Indices
inferred← citeshttps://doi.org/10.1002/9783527623860.ch14openalex-snapshot
Calculated Molecular Properties and Multivariate Statistical Analysis
inferred← citeshttps://doi.org/10.1002/9783527628766.biblioopenalex-snapshot
Bibliography
inferred← citeshttps://doi.org/10.1002/bit.21214openalex-snapshot
MODEL—molecular descriptor lab: A web‐based server for computing structural and physicochemical features of compounds
inferred← citeshttps://doi.org/10.1002/cbdv.200490010openalex-snapshot
A Structure‐Information Approach to the Prediction of Biological Activities and Properties
inferred← citeshttps://doi.org/10.1002/cbdv.200490137openalex-snapshot
No Title
inferred← citeshttps://doi.org/10.1002/cbdv.200790206openalex-snapshot
Modeling Dipeptides as ACE Inhibitors and Bitter‐Tasting Compounds by Means of E‐State Structure‐Information Representation
inferred← citeshttps://doi.org/10.1002/cbdv.200890216openalex-snapshot
Application of Molecular Connectivity and Electro‐Topological Indices in Quantitative Structure–Activity Analysis of Pyrazole Derivatives as Inhibitors of Factor Xa and Thrombin
inferred← citeshttps://doi.org/10.1002/chin.200236236openalex-snapshot
ChemInform Abstract: Modeling Blood‐Brain Barrier Partitioning Using the Electrotopological State.
inferred← citeshttps://doi.org/10.1002/chin.200444298openalex-snapshot
Whole Molecule and Atom‐Based Topological Descriptors
inferred← citeshttps://doi.org/10.1002/cmdc.200800282openalex-snapshot
Development and Validation of a Pharmacophore‐Based QSAR Model for the Prediction of CNS Activity
inferred← citeshttps://doi.org/10.1002/jcc.20540openalex-snapshot
A novel semi‐empirical topological descriptor Nt and the application to study on QSPR/QSAR
inferred← citeshttps://doi.org/10.1002/jcc.20671openalex-snapshot
QSAR models based on isomorphic and nonisomorphic data fusion for predicting the blood brain barrier permeability
inferred← citeshttps://doi.org/10.1002/jps.20059openalex-snapshot
Computational prediction of the plasma protein‐binding percent of diverse pharmaceutical compounds
inferred← citeshttps://doi.org/10.1002/jps.20081openalex-snapshot
TOPS‐MODE Approach for the Prediction of Blood–Brain Barrier Permeation
inferred← citeshttps://doi.org/10.1002/jps.20084openalex-snapshot
A New Nonlinear Equation for the Tissue/Blood Partition Coefficients of Neutral Compounds
inferred← citeshttps://doi.org/10.1002/jps.20595openalex-snapshot
A data base for partition of volatile organic compounds and drugs from blood/plasma/serum to brain, and an LFER analysis of the data
inferred← citeshttps://doi.org/10.1002/jps.21745openalex-snapshot
In vivo, in vitro and in silico methods for small molecule transfer across the BBB
inferred← citeshttps://doi.org/10.1002/minf.201400118openalex-snapshot
Towards Better BBB Passage Prediction Using an Extensive and Curated Data Set
inferred← citeshttps://doi.org/10.1002/qsar.200330868openalex-snapshot
A General Model for Prediction of Caco‐2 Cell Permeability
inferred← citeshttps://doi.org/10.1002/qsar.200430897openalex-snapshot
A QSAR Study of the Brain/Blood Partition Coefficients on the Basis of pKa Values
inferred← citeshttps://doi.org/10.1002/qsar.200510200openalex-snapshot
CNS Permeability of Drugs Predicted by a Decision Tree
inferred← citeshttps://doi.org/10.1002/qsar.200610165openalex-snapshot
Discovery of Novel Trichomonacidals Using LDA‐Driven QSAR Models and Bond‐Based Bilinear Indices as Molecular Descriptors
inferred← citeshttps://doi.org/10.1002/qsar.200630094openalex-snapshot
In Silico ADME Modeling 3: Computational Models to Predict Human Intestinal Absorption Using Sphere Exclusion and kNN QSAR Methods
inferred← citeshttps://doi.org/10.1002/qsar.200710129openalex-snapshot
In SilicoPrediction of Blood–Brain Partitioning Using a Chemometric Method Called Genetic Algorithm Based Variable Selection
inferred← citeshttps://doi.org/10.1002/qsar.200860042openalex-snapshot
Telomerase Inhibitory Activity of Acridinic Derivatives: A 3D‐QSAR Approach
inferred← citeshttps://doi.org/10.1002/qsar.200960050openalex-snapshot
Understanding the Aquatic Toxicity of Pesticide: Structure‐Activity Relationship and Molecular Descriptors to Distinguish the Ratings of Toxicity
inferred← citeshttps://doi.org/10.1007/7081_026openalex-snapshot
QSAR Approach in Study of Mutagenicity of Aromatic and Heteroaromatic Amines
inferred← citeshttps://doi.org/10.1007/978-0-387-30380-2_6openalex-snapshot
A Practical Approach to Computational Models of the Blood–Brain Barrier
inferred← citeshttps://doi.org/10.1007/978-0-387-74901-3_22openalex-snapshot
In Silico Modeling for Blood—Brain Barrier Permeability Predictions
inferred← citeshttps://doi.org/10.1007/978-1-4020-9783-6_9openalex-snapshot
The Use of Qsar and Computational Methods in Drug Design
inferred← citeshttps://doi.org/10.1007/978-3-319-56850-8_2openalex-snapshot
The Use of Topological Indices in QSAR and QSPR Modeling
inferred← citeshttps://doi.org/10.1007/978-88-470-2409-0_3openalex-snapshot
Relazioni quantitative struttura-attività/proprietà
inferred← citeshttps://doi.org/10.1007/978-981-99-9183-9_4openalex-snapshot
Computational Tools in Drug-Lead Identification and Development
inferred← citeshttps://doi.org/10.1007/s00044-012-0225-5openalex-snapshot
Pro-apoptotic properties of parthenin analogs: a quantitative structure–activity relationship study
inferred← citeshttps://doi.org/10.1007/s00044-013-0897-5openalex-snapshot
Structural findings of quinolone carboxylic acids in cytotoxic, antiviral, and anti-HIV-1 integrase activity through validated comparative molecular modeling studies
inferred← citeshttps://doi.org/10.1007/s00044-014-1241-4openalex-snapshot
Two- and three-dimensional quantitative structure–permeability relationship of flavonoids in Caco-2 cells using stepwise multiple linear regression (SMLR), partial least squares regression (PLSR), and pharmacophore (GALAHAD)-based comparative molecular similarity index analysis (COMSIA)
inferred← citeshttps://doi.org/10.1007/s00894-004-0178-9openalex-snapshot
Decomposition mechanism of 3- N -morpholinosydnonimine ( SIN-1 )?a density functional study on intrinsic structures and reactivities
inferred← citeshttps://doi.org/10.1007/s00894-004-0199-4openalex-snapshot
Quantitative structure–activity relationship study on some benzodiazepine derivatives as anti-Alzheimer agents
inferred← citeshttps://doi.org/10.1007/s00894-005-0089-4openalex-snapshot
Novel distance-based atom-type topological indices DAI for QSPR/QSAR studies of alcohols
inferred← citeshttps://doi.org/10.1007/s00894-005-0276-3openalex-snapshot
Topochemical models for prediction of cyclin-dependent kinase 2 inhibitory activity of indole-2-ones
inferred← citeshttps://doi.org/10.1007/s10822-005-9001-7openalex-snapshot
A recursive-partitioning model for blood–brain barrier permeation
inferred← citeshttps://doi.org/10.1007/s10822-008-9171-1openalex-snapshot
Bond-based linear indices in QSAR: computational discovery of novel anti-trichomonal compounds
inferred← citeshttps://doi.org/10.1007/s10822-008-9193-8openalex-snapshot
Automatic QSAR modeling of ADME properties: blood–brain barrier penetration and aqueous solubility
inferred← citeshttps://doi.org/10.1007/s10822-011-9478-1openalex-snapshot
Qualitative prediction of blood–brain barrier permeability on a large and refined dataset
inferred← citeshttps://doi.org/10.1007/s10822-016-9932-1openalex-snapshot
Discovery of DNA dyes Hoechst 34580 and 33342 as good candidates for inhibiting amyloid beta formation: in silico and in vitro study
inferred← citeshttps://doi.org/10.1007/s10847-006-9123-0openalex-snapshot
Topological Models for Prediction of Adductability of Branched Aliphatic Compounds in Urea
inferred← citeshttps://doi.org/10.1007/s10953-010-9641-7openalex-snapshot
Solvent Effects on the Structure-Property Relationship of Some Potentially Pharmacologically Active 3-(4-Substituted Benzyl)-5-Ethyl-5-Phenyl- and 3-(4-Substituted Benzyl)-5,5-Diphenylhydantoins
inferred← citeshttps://doi.org/10.1007/s11030-014-9562-2openalex-snapshot
Role of breast cancer resistance protein (BCRP) as active efflux transporter on blood-brain barrier (BBB) permeability
inferred← citeshttps://doi.org/10.1007/s11030-021-10264-wopenalex-snapshot
The role of machine learning method in the synthesis and biological ınvestigation of heterocyclic compounds
inferred← citeshttps://doi.org/10.1007/s11095-008-9609-0openalex-snapshot
QSAR Modeling of the Blood–Brain Barrier Permeability for Diverse Organic Compounds
inferred← citeshttps://doi.org/10.1007/s12539-013-0158-9openalex-snapshot
Can we predict blood brain barrier permeability of ligands using computational approaches?
inferred← citeshttps://doi.org/10.1007/s40203-025-00422-5openalex-snapshot
Molecular docking, molecular dynamics simulation, and ADME profiling of novel benzoxazolone-based OGT inhibitors
inferred← citeshttps://doi.org/10.1007/s42250-026-01832-4openalex-snapshot
In Silico Evaluation of 1-(Indolin-1-yl) Ethan-1-One Derivatives as Novel TRIM24 Inhibitors for Prostate Cancer
inferred← citeshttps://doi.org/10.1016/b0-08-045044-x/00128-0openalex-snapshot
In Vitro Models for Examining and Predicting Brain Uptake of Drugs
inferred← citeshttps://doi.org/10.1016/b0-08-045044-x/00141-3openalex-snapshot
Electrotopological State Indices to Assess Molecular and Absorption, Distribution, Metabolism, Excretion, and Toxicity Properties
inferred← citeshttps://doi.org/10.1016/b0-08-045044-x/00146-2openalex-snapshot
In Silico Models to Predict Brain Uptake
inferred← citeshttps://doi.org/10.1016/b0-08-045044-x/00242-xopenalex-snapshot
Quantitative Structure–Activity Relationship – A Historical Perspective and the Future
inferred← citeshttps://doi.org/10.1016/b978-0-12-820546-4.00014-3openalex-snapshot
ADMET tools: Prediction and assessment of chemical ADMET properties of NCEs
inferred← citeshttps://doi.org/10.1016/j.bmc.2003.09.022openalex-snapshot
QSAR study on some pyridoacridine ascididemin analogues as anti-tumor agents
inferred← citeshttps://doi.org/10.1016/j.bmc.2003.12.031openalex-snapshot
QSAR study on some anti-HIV HEPT analogues using physicochemical and topological parameters
inferred← citeshttps://doi.org/10.1016/j.bmc.2004.01.006openalex-snapshot
5-N-Substituted-2-(substituted benzenesulphonyl) glutamines as antitumor agents. Part II: Synthesis, biological activity and QSAR study
inferred← citeshttps://doi.org/10.1016/j.bmc.2004.08.038openalex-snapshot
In silico prediction of central nervous system activity of compounds. Identification of potential pharmacophores by the TOPS–MODE approach
inferred← citeshttps://doi.org/10.1016/j.bmc.2004.09.003openalex-snapshot
Quantitative structure–activity relationship study using refractotopological state atom index on some neonicotinoid insecticides
inferred← citeshttps://doi.org/10.1016/j.bmc.2005.01.061openalex-snapshot
In silico ADME modelling: prediction models for blood–brain barrier permeation using a systematic variable selection method
inferred← citeshttps://doi.org/10.1016/j.bmc.2006.02.008openalex-snapshot
In silico ADME modelling 2: Computational models to predict human serum albumin binding affinity using ant colony systems
inferred← citeshttps://doi.org/10.1016/j.bmc.2006.03.012openalex-snapshot
Correlation of blood–brain penetration using structural descriptors
inferred← citeshttps://doi.org/10.1016/j.bmc.2006.06.016openalex-snapshot
Predicting antitrichomonal activity: A computational screening using atom-based bilinear indices and experimental proofs
inferred← citeshttps://doi.org/10.1016/j.bmcl.2005.06.015openalex-snapshot
Modeling Km values using electrotopological state: Substrates for cytochrome P450 3A4-mediated metabolism
inferred← citeshttps://doi.org/10.1016/j.bpj.2014.06.024openalex-snapshot
A Method to Predict Blood-Brain Barrier Permeability of Drug-Like Compounds Using Molecular Dynamics Simulations
inferred← citeshttps://doi.org/10.1016/j.chemolab.2011.10.003openalex-snapshot
Classification of central nervous system agents by least squares support vector machine based on their structural descriptors: A comparative study
inferred← citeshttps://doi.org/10.1016/j.cherd.2016.10.014openalex-snapshot
Computer-aided molecular design: An introduction and review of tools, applications, and solution techniques
inferred← citeshttps://doi.org/10.1016/j.ddtec.2004.11.014openalex-snapshot
Prediction of blood–brain barrier permeation in drug discovery from in vivo, in vitro and in silico models
inferred← citeshttps://doi.org/10.1016/j.ejmech.2006.01.012openalex-snapshot
Quantitative structure activity relationship of benzoxazinone derivatives as neuropeptide Y Y5 receptor antagonists
inferred← citeshttps://doi.org/10.1016/j.ejmech.2006.05.007openalex-snapshot
Exploring QSAR on 3-aminopyrazoles as antitumor agents for their inhibitory activity of CDK2/cyclin A
inferred← citeshttps://doi.org/10.1016/j.ejmech.2006.09.011openalex-snapshot
A novel range based QSAR study of human neuropeptide Y (NPY) Y5 receptor inhibitors
inferred← citeshttps://doi.org/10.1016/j.ejmech.2008.02.015openalex-snapshot
Quantitative structure–activity relationship (QSAR) of aryl alkenyl amides/imines for bacterial efflux pump inhibitors
inferred← citeshttps://doi.org/10.1016/j.ejmech.2009.05.004openalex-snapshot
Quantitative structure activity relationship (QSAR) of piperine analogsfor bacterial NorA efflux pump inhibitors
inferred← citeshttps://doi.org/10.1016/j.ejmech.2009.07.029openalex-snapshot
Prediction of telomerase inhibitory activity for acridinic derivatives based on chemical structure
inferred← citeshttps://doi.org/10.1016/j.ejpb.2008.05.005openalex-snapshot
Predicting blood–brain barrier penetration from molecular weight and number of polar atoms
inferred← citeshttps://doi.org/10.1016/j.ejpb.2010.01.003openalex-snapshot
Evaluation of various PAMPA models to identify the most discriminating method for the prediction of BBB permeability
inferred← citeshttps://doi.org/10.1016/j.ejps.2004.05.009openalex-snapshot
Drug permeation in biomembranes
inferred← citeshttps://doi.org/10.1016/j.farmac.2005.06.018openalex-snapshot
QSAR modeling on dopamine D2 receptor binding affinity of 6-methoxy benzamides
inferred← citeshttps://doi.org/10.1016/j.ijpharm.2006.05.042openalex-snapshot
Topochemical models for the prediction of permeability through blood–brain barrier
inferred← citeshttps://doi.org/10.1016/j.ijpharm.2010.05.037openalex-snapshot
Application of PAMPA-models to predict BBB permeability including efflux ratio, plasma protein binding and physicochemical parameters
inferred← citeshttps://doi.org/10.1016/j.ijpharm.2016.01.074openalex-snapshot
A new PAMPA model using an in-house brain lipid extract for screening the blood–brain barrier permeability of drug candidates
inferred← citeshttps://doi.org/10.1016/j.jasms.2009.06.002openalex-snapshot
CE 50 : Quantifying collision induced dissociation energy for small molecule characterization and identification
inferred← citeshttps://doi.org/10.1016/j.jchromb.2004.04.004openalex-snapshot
Potential of biopartitioning micellar chromatography as an in vitro technique for predicting drug penetration across the blood–brain barrier
inferred← citeshttps://doi.org/10.1016/j.jconrel.2018.01.024openalex-snapshot
In vitro models and systems for evaluating the dynamics of drug delivery to the healthy and diseased brain
inferred← citeshttps://doi.org/10.1016/j.jmgm.2004.03.010openalex-snapshot
Modelling blood–brain barrier partitioning using Bayesian neural nets
inferred← citeshttps://doi.org/10.1016/j.jmgm.2007.11.004openalex-snapshot
Prediction of blood–brain partitioning: A model based on ab initio calculated quantum chemical descriptors
inferred← citeshttps://doi.org/10.1016/j.jmgm.2010.03.010openalex-snapshot
Prediction of passive blood–brain partitioning: Straightforward and effective classification models based on in silico derived physicochemical descriptors
inferred← citeshttps://doi.org/10.1016/j.jmgm.2026.109607openalex-snapshot
Atomistic Simulation of Blood–Brain Barrier Permeability of Propolis-Derived Natural Compounds
inferred← citeshttps://doi.org/10.1016/j.jpba.2015.01.046openalex-snapshot
Blood–brain barrier permeability mechanisms in view of quantitative structure–activity relationships (QSAR)
inferred← citeshttps://doi.org/10.1016/j.jpba.2017.05.041openalex-snapshot
Combined computational-experimental approach to predict blood–brain barrier (BBB) permeation based on “green” salting-out thin layer chromatography supported by simple molecular descriptors
inferred← citeshttps://doi.org/10.1016/j.molstruc.2022.132569openalex-snapshot
A novel dual three and five-component reactions between dimedone, aryl aldehydes, and 1-naphthylamine: synthesis and computational studies
inferred← citeshttps://doi.org/10.1016/j.talanta.2020.121023openalex-snapshot
Novel application of capillary electrophoresis with a liposome coated capillary for prediction of blood-brain barrier permeability
inferred← citeshttps://doi.org/10.1016/j.xphs.2020.08.025openalex-snapshot
Nonlinear Method to Predict the Distribution of Structurally Diverse Compounds between Blood and Tissue
inferred← citeshttps://doi.org/10.1016/s0065-7743(05)40026-3openalex-snapshot
Computational Prediction of Blood-brain Barrier Permeation
inferred← citeshttps://doi.org/10.1016/s0169-7439(03)00004-2openalex-snapshot
Atom-type-based AI topological descriptors for quantitative structure–retention index correlations of aldehydes and ketones
inferred← citeshttps://doi.org/10.1016/s0960-894x(03)00598-5openalex-snapshot
QSAR Study on the Affinity of Some Arylpiperazines towards the 5-HT1A/α1-Adrenergic Receptor Using the E-State Index
inferred← citeshttps://doi.org/10.1016/s1359-6446(03)02827-7openalex-snapshot
In silico prediction of blood–brain barrier permeation
inferred← citeshttps://doi.org/10.1016/s1741-8364(04)02393-5openalex-snapshot
Bayesian neural nets for modeling in drug discovery
inferred← citeshttps://doi.org/10.1021/acs.jcim.6b00508openalex-snapshot
Selective Fusion of Heterogeneous Classifiers for Predicting Substrates of Membrane Transporters
inferred← citeshttps://doi.org/10.1021/cb300374hopenalex-snapshot
Small Molecule Screen Reveals Regulation of Survival Motor Neuron Protein Abundance by Ras Proteins
inferred← citeshttps://doi.org/10.1021/ci020382nopenalex-snapshot
Atomic-Level-Based AI Topological Descriptors for Structure−Property Correlations
inferred← citeshttps://doi.org/10.1021/ci025651oopenalex-snapshot
Atom-Type-Based AI Topological Descriptors: Application in Structure-Boiling Point Correlations of Oxo Organic Compounds
inferred← citeshttps://doi.org/10.1021/ci030019wopenalex-snapshot
Modeling Drug Albumin Binding Affinity with E-State Topological Structure Representation
inferred← citeshttps://doi.org/10.1021/ci034205dopenalex-snapshot
Blood-Brain Barrier Permeation Models: Discriminating between Potential CNS and Non-CNS Drugs Including P-Glycoprotein Substrates
inferred← citeshttps://doi.org/10.1021/ci034284topenalex-snapshot
Development and Use of Hydrophobic Surface Area (HSA) Descriptors for Computer-Assisted Quantitative Structure−Activity and Structure−Property Relationship Studies
inferred← citeshttps://doi.org/10.1021/ci049718eopenalex-snapshot
A New Approach for the Tissue−Blood Partition Coefficients of Neutral and Ionized Compounds
inferred← citeshttps://doi.org/10.1021/ci050135uopenalex-snapshot
Effect of Selection of Molecular Descriptors on the Prediction of Blood−Brain Barrier Penetrating and Nonpenetrating Agents by Statistical Learning Methods
inferred← citeshttps://doi.org/10.1021/ci050303iopenalex-snapshot
In Silico Prediction of Blood Brain Barrier Permeability: An Artificial Neural Network Model
inferred← citeshttps://doi.org/10.1021/ci6004788openalex-snapshot
A Toxicity Evaluation and Predictive System Based on Neural Networks and Wavelets
inferred← citeshttps://doi.org/10.1021/ci7000633openalex-snapshot
Gaussian Processes: A Method for Automatic QSAR Modeling of ADME Properties
inferred← citeshttps://doi.org/10.1021/ci700100fopenalex-snapshot
Benchmarking of QSAR Models for Blood-Brain Barrier Permeation
inferred← citeshttps://doi.org/10.1021/ci700283sopenalex-snapshot
Statistical Confidence for Variable Selection in QSAR Models via Monte Carlo Cross-Validation
inferred← citeshttps://doi.org/10.1021/cr030440jopenalex-snapshot
Modeling Kinetics of Subcellular Disposition of Chemicals
inferred← citeshttps://doi.org/10.1021/jm051162eopenalex-snapshot
Convenient Nonlinear Model for Predicting the Tissue/Blood Partition Coefficients of Seven Human Tissues of Neutral, Acidic, and Basic Structurally Diverse Compounds
inferred← citeshttps://doi.org/10.1023/a:1027359714663openalex-snapshot
Prediction of blood–brain barrier permeation using quantum chemically derived information
inferred← citeshttps://doi.org/10.1023/b:jcam.0000005764.26206.74openalex-snapshot
New atom-type-based AI topological indices: Application to QSPR studies of aldehydes and ketones
inferred← citeshttps://doi.org/10.1023/b:jcam.0000017372.32162.37openalex-snapshot
Computational models to predict blood–brain barrier permeation and CNS activity
inferred← citeshttps://doi.org/10.1038/nrd1032openalex-snapshot
ADMET in silico modelling: towards prediction paradise?
inferred← citeshttps://doi.org/10.1038/nrd1065openalex-snapshot
Antiherpesvirus drugs: a promising spectrum of new drugs and drug targets
inferred← citeshttps://doi.org/10.1080/08927022.2012.718769openalex-snapshot
Top-leads from natural products for treatment of Alzheimer's disease: docking and molecular dynamics study
inferred← citeshttps://doi.org/10.1080/1062936031000073144openalex-snapshot
E-State Modeling of Fish Toxicity Independent of 3D Structure Information
inferred← citeshttps://doi.org/10.1080/10629360412331319853openalex-snapshot
QSAR Modeling Based on Structure-Information for Properties of Interest in Human Health
inferred← citeshttps://doi.org/10.1080/15376516.2019.1681044openalex-snapshot
A multiparametric organ toxicity predictor for drug discovery
inferred← citeshttps://doi.org/10.1093/bioinformatics/bti314openalex-snapshot
Prediction methods and databases within chemoinformatics: emphasis on drugs and drug candidates
inferred← citeshttps://doi.org/10.1145/1722024.1722060openalex-snapshot
Prediction of toxicity and pharmacological potential of selected spice compounds
inferred← citeshttps://doi.org/10.1155/2015/292683openalex-snapshot
A Genetic Algorithm Based Support Vector Machine Model for Blood-Brain Barrier Penetration Prediction
inferred← citeshttps://doi.org/10.11648/j.cbe.20190404.11openalex-snapshot
A Concise Review on the Significance of QSAR in Drug Design
inferred← citeshttps://doi.org/10.1201/9780203642627.ch11openalex-snapshot
Prediction of Pharmacokinetic Parameters in Drug Design and Toxicology
inferred← citeshttps://doi.org/10.1201/9780203642627.ch5openalex-snapshot
Whole Molecule and Atom-Based Topological Descriptors
inferred← citeshttps://doi.org/10.1201/b12066-157openalex-snapshot
Data Visualization of Multivariate (Non)Linear Regression Ensembles in QSAR/QSPR
inferred← citeshttps://doi.org/10.1208/s12248-018-0215-8openalex-snapshot
Improved Prediction of Blood–Brain Barrier Permeability Through Machine Learning with Combined Use of Molecular Property-Based Descriptors and Fingerprints
inferred← citeshttps://doi.org/10.1246/bcsj.80.1504openalex-snapshot
Molecular Descriptors of Topology and a Study on Quantitative Structure and Property Relationships
inferred← citeshttps://doi.org/10.1360/cjcp2006.19(3).243.5openalex-snapshot
Modeling Gas Chromatographic Retention Indices of Oxygen-containing Compounds by Novel Atom-type Topological Indices
inferred← citeshttps://doi.org/10.1365/s10337-007-0362-zopenalex-snapshot
Modeling Quantitative Structure Property Relationships with a Semi-Empirical Topological Descriptor and Path Numbers
inferred← citeshttps://doi.org/10.1371/journal.pone.0023852openalex-snapshot
Identification of Novel Functional Inhibitors of Acid Sphingomyelinase
inferred← citeshttps://doi.org/10.1371/journal.pone.0147126openalex-snapshot
Predicting Thermodynamic Properties of PBXTHs with New Quantum Topological Indexes
inferred← citeshttps://doi.org/10.1515/psr-2018-0160openalex-snapshot
Part-II- in silico drug design: application and success
inferred← citeshttps://doi.org/10.1517/17425255.2012.677028openalex-snapshot
Strategies to minimize CNS toxicity:in vitrohigh-throughput assays and computational modeling
inferred← citeshttps://doi.org/10.2174/1573409915666190227230744openalex-snapshot
QSPR Models to Predict Thermodynamic Properties of Cycloalkanes Using Molecular Descriptors and GA-MLR Method
inferred← citeshttps://doi.org/10.2478/v10007-007-0036-2openalex-snapshot
Validation of topochemical models for the prediction of permeability through the blood-brain barrier
inferred← citeshttps://doi.org/10.2788/94537openalex-snapshot
Review of QSAR Models and Software Tools for predicting Biokinetic Properties
inferred← citeshttps://doi.org/10.3109/10559610290249557openalex-snapshot
Quantitative Structure-Activity Relationship Study on Some Azidopyridinyl Neonicotinoid Insecticides for Their Selective Affinity Towards the Drosophila Nicotinic Receptor Over Mammalian a4ß2 Receptor Using Electrotopological State Atom Index
inferred← citeshttps://doi.org/10.3390/80900687openalex-snapshot
Total and Local Quadratic Indices of the Molecular Pseudograph's Atom Adjacency Matrix: Applications to the Prediction of Physical Properties of Organic Compounds
inferred← citeshttps://doi.org/10.3390/ijms21072534openalex-snapshot
In Silico Studies on Triterpenoid Saponins Permeation through the Blood–Brain Barrier Combined with Postmortem Research on the Brain Tissues of Mice Affected by Astragaloside IV Administration
inferred← citeshttps://doi.org/10.3390/ijms22073573openalex-snapshot
Biomimetic Chromatographic Studies Combined with the Computational Approach to Investigate the Ability of Triterpenoid Saponins of Plant Origin to Cross the Blood–Brain Barrier
inferred← citeshttps://doi.org/10.3390/ijms232415887openalex-snapshot
Combined Micellar Liquid Chromatography Technique and QSARs Modeling in Predicting the Blood–Brain Barrier Permeation of Heterocyclic Drug-like Compounds
inferred← citeshttps://doi.org/10.3390/ijms241612949openalex-snapshot
In Silico Analysis, Anticonvulsant Activity, and Toxicity Evaluation of Schisandrin B in Zebrafish Larvae and Mice
inferred← citeshttps://doi.org/10.3390/ijms27010328openalex-snapshot
Integrative Profiling for BBB Permeability Using Capillary Electrochromatography, Experimental Physicochemical Parameters, and Ensemble Machine Learning
inferred← citeshttps://doi.org/10.3390/molecules201018279openalex-snapshot
A Generally Applicable Computer Algorithm Based on the Group Additivity Method for the Calculation of Seven Molecular Descriptors: Heat of Combustion, LogPO/W, LogS, Refractivity, Polarizability, Toxicity and LogBB of Organic Compounds; Scope and Limits of Applicability
inferred← citeshttps://doi.org/10.3797/scipharm.1006-03openalex-snapshot
Models for Antitubercular Activity of 5'-O-[(N-Acyl)sulfamoyl]adenosines
inferred← citeshttps://doi.org/10.3797/scipharm.1208-19openalex-snapshot
Chromatographic Behaviour Predicts the Ability of Potential Nootropics to Permeate the Blood-Brain Barrier
inferred← citeshttps://doi.org/10.4018/978-1-4666-4010-8.ch021openalex-snapshot
Retrained Classification of Tyrosinase Inhibitors and “In Silico” Potency Estimation by Using Atom-Type Linear Indices
inferred← citeshttps://doi.org/10.4018/ijcce.2012070104openalex-snapshot
Retrained Classification of Tyrosinase Inhibitors and “In Silico” Potency Estimation by Using Atom-Type Linear Indices
inferred← citeshttps://doi.org/10.4274/tjps.70288openalex-snapshot
Quantitative Structure–Activity Relationship Analysis of Selective Rho Kinase Inhibitors as Neuro-regenerator agent
inferred← citeshttps://doi.org/10.4274/tjps.galenos.2018.70288openalex-snapshot
Quantitative Structure–Activity Relationship Analysis of Selective Rho Kinase Inhibitors as Neuro-regenerator Agents
inferred← citeshttps://doi.org/10.70675/5f9f3534z76cez4c04z8be6z7920d2646fefopenalex-snapshot
Novel Quadruplex ligands : in silico and in vitro approaches
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.