On the public citation graph
Predicting Penetration Across the Blood-Brain Barrier from Simple Descriptors and Fragmentation Schemes
0 signed · 143 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known work and none has been retracted — and get a dated CiteStamped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/jps.10282openalex-snapshot
Recent Advances in the Prediction of Blood–Brain Partitioning from Molecular Structure
inferredcites →https://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
inferredcites →https://doi.org/10.1016/0968-0004(91)90093-bopenalex-snapshot
Comprehensive medicinal chemistry
inferredcites →https://doi.org/10.1016/s0169-409x(02)00005-4openalex-snapshot
Computational approaches to the prediction of the blood–brain distribution
inferredcites →https://doi.org/10.1021/ci034205dopenalex-snapshot
Blood-Brain Barrier Permeation Models: Discriminating between Potential CNS and Non-CNS Drugs Including P-Glycoprotein Substrates
inferredcites →https://doi.org/10.1021/jm990968+openalex-snapshot
Predicting Blood−Brain Barrier Permeation from Three-Dimensional Molecular Structure
inferredcites →https://doi.org/10.1023/b:jcam.0000017372.32162.37openalex-snapshot
Computational models to predict blood–brain barrier permeation and CNS activity
inferredcites →https://doi.org/10.1124/jpet.104.075705openalex-snapshot
In Silico Predictions of Blood-Brain Barrier Penetration: Considerations to “Keep in Mind”
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9783527806539.ch6iopenalex-snapshot
Prediction of ADME Properties
inferred← citeshttps://doi.org/10.1002/cmdc.201700023openalex-snapshot
The Isoxazole Ring and Its N‐Oxide: A Privileged Core Structure in Neuropsychiatric Therapeutics
inferred← citeshttps://doi.org/10.1002/cmdc.201800533openalex-snapshot
In Silico Prediction of Blood–Brain Barrier Permeability of Compounds by Machine Learning and Resampling Methods
inferred← citeshttps://doi.org/10.1002/ddr.20402openalex-snapshot
Applications of machine learning and computational intelligence to drug discovery and development
inferred← citeshttps://doi.org/10.1002/ejoc.202201301openalex-snapshot
Synthesis of [60]Fullerene Hybrids Endowed with Steroids and Monosaccharides: Theoretical Underpinning as Promising anti‐SARS‐CoV‐2 Agents
inferred← citeshttps://doi.org/10.1002/jps.21405openalex-snapshot
Ionization-Specific Prediction of Blood–Brain Permeability
inferred← citeshttps://doi.org/10.1002/jps.21651openalex-snapshot
The Development and Validation of a Computational Model to Predict Rat Liver Microsomal Clearance
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/med.21764openalex-snapshot
Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions
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/minf.201600041openalex-snapshot
Docking-based Design of Galantamine Derivatives with Dual-site Binding to Acetylcholinesterase
inferred← citeshttps://doi.org/10.1002/minf.202400325openalex-snapshot
Machine Learning in Drug Development for Neurological Diseases: A Review of Blood Brain Barrier Permeability Prediction Models
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.200960008openalex-snapshot
Classification of Blood‐Brain Barrier Permeation by Kohonen's Self‐Organizing Neural Network (KohNN) and Support Vector Machine (SVM)
inferred← citeshttps://doi.org/10.1002/slct.74184openalex-snapshot
An Integrated Computational Workflow Combining NeuroScore, Network Pharmacology, and Molecular Dynamics Identifies a Benzothiadiazole‐Based SERT Inhibitor for Alzheimer's Disease
inferred← citeshttps://doi.org/10.1007/978-1-4020-9783-6_10openalex-snapshot
In Silico Approaches for Predicting Adme Properties
inferred← citeshttps://doi.org/10.1007/s00044-012-0038-6openalex-snapshot
Synthesis and evaluation of meta substituted 1-(aryloxypropyl)-4-(chloroaryl) piperazines as potential atypical antipsychotics
inferred← citeshttps://doi.org/10.1007/s00044-014-1072-3openalex-snapshot
Quantitative structure–activity relationship (QSAR) studies as strategic approach in drug discovery
inferred← citeshttps://doi.org/10.1007/s00213-007-0983-9openalex-snapshot
CRF1 receptor antagonists attenuate escalated cocaine self-administration in rats
inferred← citeshttps://doi.org/10.1007/s10822-023-00537-xopenalex-snapshot
The in silico identification of novel broad-spectrum antidotes for poisoning by organophosphate anticholinesterases
inferred← citeshttps://doi.org/10.1007/s10953-018-0804-2openalex-snapshot
An Alternative Method for Correlation and Evaluation of Mutual Diffusion Coefficients of Solutes in Organic Solvents at Infinite Dilution
inferred← citeshttps://doi.org/10.1007/s11094-012-0748-6openalex-snapshot
Quantitative interaction between the structures of organic compounds and their abilities to penetrate the blood-brain barrier
inferred← citeshttps://doi.org/10.1007/s11095-013-1119-zopenalex-snapshot
Methodologies to Assess Drug Permeation Through the Blood–Brain Barrier for Pharmaceutical Research
inferred← citeshttps://doi.org/10.1007/s11095-015-1832-xopenalex-snapshot
Structure-Based Prediction of Anti-infective Drug Concentrations in the Human Lung Epithelial Lining Fluid
inferred← citeshttps://doi.org/10.1007/s11172-018-2295-0openalex-snapshot
A new method for calculating normal boiling point of liquids
inferred← citeshttps://doi.org/10.1016/b978-0-12-374194-3.00023-8openalex-snapshot
Quantitative Approaches to Structure–Activity Relationships
inferred← citeshttps://doi.org/10.1016/b978-0-44-332908-1.00028-3openalex-snapshot
Deep learning for toxicity prediction
inferred← citeshttps://doi.org/10.1016/b978-0-444-64070-3.00013-8openalex-snapshot
Application of HPLC measurements for the determination of physicochemical and biomimetic properties to model in vivo drug distribution in support of early drug discovery
inferred← citeshttps://doi.org/10.1016/j.aca.2011.02.004openalex-snapshot
Prediction of P2Y12 antagonists using a novel genetic algorithm-support vector machine coupled approach
inferred← citeshttps://doi.org/10.1016/j.artmed.2008.07.001openalex-snapshot
An integrated scheme for feature selection and parameter setting in the support vector machine modeling and its application to the prediction of pharmacokinetic properties of drugs
inferred← citeshttps://doi.org/10.1016/j.bioorg.2021.105472openalex-snapshot
Design, synthesis and structure-activity evaluation of novel 2-pyridone-based inhibitors of α-synuclein aggregation with potentially improved BBB permeability
inferred← citeshttps://doi.org/10.1016/j.bmc.2009.08.065openalex-snapshot
Effect of potential amine prodrugs of selective neuronal nitric oxide synthase inhibitors on blood–brain barrier penetration
inferred← citeshttps://doi.org/10.1016/j.bmcl.2007.06.045openalex-snapshot
Synthesis and binding affinity of new pyrazole and isoxazole derivatives as potential atypical antipsychotics
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.celrep.2023.113557openalex-snapshot
An ERK5-PFKFB3 axis regulates glycolysis and represents a therapeutic vulnerability in pediatric diffuse midline glioma
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.chemolab.2019.103853openalex-snapshot
Molecular image-based convolutional neural network for the prediction of ADMET properties
inferred← citeshttps://doi.org/10.1016/j.ecoenv.2020.110817openalex-snapshot
Predicting oxidative stress induced by organic chemicals by using quantitative Structure–Activity relationship methods
inferred← citeshttps://doi.org/10.1016/j.ejmech.2010.02.008openalex-snapshot
Synthesis, evaluation and computational studies on a series of acetophenone based 1-(aryloxypropyl)-4-(chloroaryl) piperazines as potential atypical antipsychotics
inferred← citeshttps://doi.org/10.1016/j.ejmech.2019.111981openalex-snapshot
Efficient identification of novel anti-glioma lead compounds by machine learning models
inferred← citeshttps://doi.org/10.1016/j.ejmech.2020.112705openalex-snapshot
Diphenyl triazine hybrids inhibit α-synuclein fibrillogenesis: Design, synthesis and in vitro efficacy studies
inferred← citeshttps://doi.org/10.1016/j.ejmech.2023.115695openalex-snapshot
Synthesis, computational and experimental pharmacological studies for (thio)ether-triazine 5-HT6R ligands with noticeable action on AChE/BChE and chalcogen-dependent intrinsic activity in search for new class of drugs against Alzheimer's disease
inferred← citeshttps://doi.org/10.1016/j.ejps.2009.12.007openalex-snapshot
Prediction of the in vitro intrinsic clearance determined in suspensions of human hepatocytes by using artificial neural networks
inferred← citeshttps://doi.org/10.1016/j.ejps.2021.105734openalex-snapshot
NB-33, a bioreversible opioid derivative of Nalbuphine, shows enhanced pharmacodynamics
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.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.2017.05.021openalex-snapshot
In silico modeling on ADME properties of natural products: Classification models for blood-brain barrier permeability, its application to traditional Chinese medicine and in vitro experimental validation
inferred← citeshttps://doi.org/10.1016/j.jmgm.2019.107516openalex-snapshot
A classification model for blood brain barrier penetration
inferred← citeshttps://doi.org/10.1016/j.jpba.2008.03.023openalex-snapshot
Prediction models of human plasma protein binding rate and oral bioavailability derived by using GA–CG–SVM method
inferred← citeshttps://doi.org/10.1016/j.jsbmb.2022.106150openalex-snapshot
Structure-based virtual screening for identification of potential non-steroidal LXR modulators against neurodegenerative conditions
inferred← citeshttps://doi.org/10.1016/j.neuint.2019.01.021openalex-snapshot
Novel compound VB-037 inhibits Aβ aggregation and promotes neurite outgrowth through enhancement of HSP27 and reduction of P38 and JNK-mediated inflammation in cell models for Alzheimer's disease
inferred← citeshttps://doi.org/10.1016/j.pbb.2007.10.008openalex-snapshot
MPZP: A novel small molecule corticotropin-releasing factor type 1 receptor (CRF1) antagonist
inferred← citeshttps://doi.org/10.1016/j.phrs.2024.107390openalex-snapshot
Improving glioma drug delivery: A multifaceted approach for glioma drug development
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2012.12.012openalex-snapshot
Linear and nonlinear relationships between biodegradation potential and molecular descriptors/fragments for organic pollutants and a theoretical interpretation
inferred← citeshttps://doi.org/10.1016/j.tox.2022.153224openalex-snapshot
Identification of active or inactive agonists of tumor suppressor protein based on Tox21 library
inferred← citeshttps://doi.org/10.1016/s0065-7743(07)42029-2openalex-snapshot
Chapter 29 Computational Models for ADME
inferred← citeshttps://doi.org/10.1017/cbo9780511730412.013openalex-snapshot
Predicting ADME properties in drug discovery
inferred← citeshttps://doi.org/10.1021/acs.chemrestox.0c00343openalex-snapshot
Prediction of the Blood–Brain Barrier (BBB) Permeability of Chemicals Based on Machine-Learning and Ensemble Methods
inferred← citeshttps://doi.org/10.1021/acs.jced.7b00454openalex-snapshot
The New Method for Correlation and Prediction of Thermophysical Properties of Fluids. Critical Temperature
inferred← citeshttps://doi.org/10.1021/acs.jcim.0c00590openalex-snapshot
Partitioning of Benzoic Acid into 1,2-Dimyristoyl- sn -glycero-3-phosphocholine and Blood–Brain Barrier Mimetic Bilayers
inferred← citeshttps://doi.org/10.1021/acs.jcim.8b00623openalex-snapshot
DAKB-GPCRs: An Integrated Computational Platform for Drug Abuse Related GPCRs
inferred← citeshttps://doi.org/10.1021/acschemneuro.0c00508openalex-snapshot
New Strategy for Reducing Tau Aggregation Cytologically by A Hairpinlike Molecular Inhibitor, Tannic Acid Encapsulated in Liposome
inferred← citeshttps://doi.org/10.1021/acschemneuro.3c00840openalex-snapshot
Identifying Substructures That Facilitate Compounds to Penetrate the Blood–Brain Barrier via Passive Transport Using Machine Learning Explainer Models
inferred← citeshttps://doi.org/10.1021/acsmedchemlett.6c00347openalex-snapshot
A-iMPO: A Design-Time Prediction Toolbox for Blood Brain Barrier Permeation Using an Integrated and Interpretable Multiparameter Optimization Framework
inferred← citeshttps://doi.org/10.1021/acsomega.9b01512openalex-snapshot
To Pass or Not To Pass: Predicting the Blood–Brain Barrier Permeability with the 3D-RISM-KH Molecular Solvation Theory
inferred← citeshttps://doi.org/10.1021/bk-2016-1222.ch014openalex-snapshot
Steps Toward a Virtual Rat: Predictive Absorption, Distribution, Metabolism, and Toxicity Models
inferred← citeshttps://doi.org/10.1021/ci100104jopenalex-snapshot
Estimation of ADME Properties with Substructure Pattern Recognition
inferred← citeshttps://doi.org/10.1021/ci100503yopenalex-snapshot
Novel Method for Pharmacophore Analysis by Examining the Joint Pharmacophore Space
inferred← citeshttps://doi.org/10.1021/ci200583topenalex-snapshot
Testing Physical Models of Passive Membrane Permeation
inferred← citeshttps://doi.org/10.1021/ci300124copenalex-snapshot
A Bayesian Approach to in Silico Blood-Brain Barrier Penetration Modeling
inferred← citeshttps://doi.org/10.1021/ci500004hopenalex-snapshot
AlzPlatform: An Alzheimer’s Disease Domain-Specific Chemogenomics Knowledgebase for Polypharmacology and Target Identification Research
inferred← citeshttps://doi.org/10.1021/ci900384copenalex-snapshot
Insights for Predicting Blood-Brain Barrier Penetration of CNS Targeted Molecules Using QSPR Approaches
inferred← citeshttps://doi.org/10.1021/ci900406xopenalex-snapshot
Gaussian Processes for Classification: QSAR Modeling of ADMET and Target Activity
inferred← citeshttps://doi.org/10.1021/jm701407xopenalex-snapshot
Straightforward Recursive Partitioning Model for Discarding Insoluble Compounds in the Drug Discovery Process
inferred← citeshttps://doi.org/10.1021/jm800156zopenalex-snapshot
Toward an Optimal Blood−Brain Barrier Shuttle by Synthesis and Evaluation of Peptide Libraries
inferred← citeshttps://doi.org/10.1021/jm801389mopenalex-snapshot
Topological Polar Surface Area Defines Substrate Transport by Multidrug Resistance Associated Protein 1 (MRP1/ABCC1)
inferred← citeshttps://doi.org/10.1021/mp300570zopenalex-snapshot
Confounding Parameters in Preclinical Assessment of Blood–Brain Barrier Permeation: An Overview With Emphasis on Species Differences and Effect of Disease States
inferred← citeshttps://doi.org/10.1038/s41401-019-0217-9openalex-snapshot
Structural insight into the serotonin (5-HT) receptor family by molecular docking, molecular dynamics simulation and systems pharmacology analysis
inferred← citeshttps://doi.org/10.1038/s41597-021-01069-5openalex-snapshot
A curated diverse molecular database of blood-brain barrier permeability with chemical descriptors
inferred← citeshttps://doi.org/10.1038/s41598-022-16274-4openalex-snapshot
Curcumin piperidone derivatives induce anti-proliferative and anti-migratory effects in LN-18 human glioblastoma cells
inferred← citeshttps://doi.org/10.1038/s41598-024-59734-9openalex-snapshot
Non-animal models for blood–brain barrier permeability evaluation of drug-like compounds
inferred← citeshttps://doi.org/10.1038/s41598-024-66897-yopenalex-snapshot
Predicting blood–brain barrier permeability of molecules with a large language model and machine learning
inferred← citeshttps://doi.org/10.1039/9781782623113-00367openalex-snapshot
Optimizing the Permeability and Oral Bioavailability of Macrocycles
inferred← citeshttps://doi.org/10.1039/9781849732093-00531openalex-snapshot
Toxicokinetic Considerations in Predicting Toxicity
inferred← citeshttps://doi.org/10.1039/b719685gopenalex-snapshot
Solvation parameters for mercury and mercury(ii) compounds: calculation of properties of environmental interest
inferred← citeshttps://doi.org/10.1039/d0ob02226hopenalex-snapshot
Unravelling the potency of triazole analogues for inhibiting α-synuclein fibrillogenesis and in vitro disaggregation
inferred← citeshttps://doi.org/10.1080/14756366.2020.1801673openalex-snapshot
Design, synthesis and biological evaluation of edaravone derivatives bearing the N -benzyl pyridinium moiety as multifunctional anti-Alzheimer’s agents
inferred← citeshttps://doi.org/10.1093/bioinformatics/btab301openalex-snapshot
Optimizing blood–brain barrier permeation through deep reinforcement learning for de novo drug design
inferred← citeshttps://doi.org/10.1109/bmei.2008.243openalex-snapshot
Predicting Blood-Brain Barrier Penetration by Stochastic Discrimination
inferred← citeshttps://doi.org/10.1109/icabme47164.2019.8940222openalex-snapshot
In silico and in vitro Blood-Brain Barrier models for early stage drug discovery
inferred← citeshttps://doi.org/10.1109/icoabcd63526.2024.10704279openalex-snapshot
Predictive Modeling of Blood-Brain Barrier Penetration Using ANN Optimized by Sine Cosine Algorithm
inferred← citeshttps://doi.org/10.1134/s1990750812010131openalex-snapshot
The computer classification models on the relationship between chemical structures of compounds and drugs with their blood brain barrier penetration ability
inferred← citeshttps://doi.org/10.1134/s199075081302008xopenalex-snapshot
Computer modeling of blood brain barrier permeability for physiologically active compounds
inferred← citeshttps://doi.org/10.1146/annurev-pharmtox-010919-023746openalex-snapshot
Artificial Intelligence in Drug Treatment
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/10.1155/2019/5795402openalex-snapshot
RP-18 HPLC Analysis of Drugs’ Ability to Cross the Blood-Brain Barrier
inferred← citeshttps://doi.org/10.11606/t.76.2011.tde-19102011-141448openalex-snapshot
Modelagem >i /i< de propriedades farmacocinéticas para a avaliação de candidatos a novos fármacos
inferred← citeshttps://doi.org/10.1186/s12885-019-5741-yopenalex-snapshot
Intracranial antitumor responses of nivolumab and ipilimumab: a pharmacodynamic and pharmacokinetic perspective, a scoping systematic review
inferred← citeshttps://doi.org/10.1186/s13065-023-01000-6openalex-snapshot
Hybridization of the effective pharmacophores for treatment of epilepsy: design, synthesis, in vivo anticonvulsant activity, and in silico studies of phenoxyphenyl-1,3,4-oxadiazole-thio-N-phenylacetamid hybrids
inferred← citeshttps://doi.org/10.1186/s13321-022-00619-2openalex-snapshot
Blood–brain barrier penetration prediction enhanced by uncertainty estimation
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/10.1208/s12248-025-01059-0openalex-snapshot
GCN-BBB: Deep Learning Blood-Brain Barrier (BBB) Permeability PharmacoAnalytics with Graph Convolutional Neural (GCN) Network
inferred← citeshttps://doi.org/10.14710/jksa.27.5.205-215openalex-snapshot
In Silico Antibacterial Activity of Polyacetilene Derivatives Against Mycobacterium tuberculosis and In-Vitro Antioxidant Properties from Ethanol Extraction of Blackjack (Bidens pilosa L.)
inferred← citeshttps://doi.org/10.1517/17425255.2013.754423openalex-snapshot
Improving the prediction of drug disposition in the brain
inferred← citeshttps://doi.org/10.1517/17460441.2011.586689openalex-snapshot
Using artificial neural networks to predict cell-penetrating compounds
inferred← citeshttps://doi.org/10.1556/1006.2016.29.4.7openalex-snapshot
Application of RP-18 thin-layer chromatography and quantitative structure–activity relationship analysis for the prediction of the blood–brain barrier permeation
inferred← citeshttps://doi.org/10.1590/s1984-82502010000400016openalex-snapshot
A 2D-QSPR approach to predict blood-brain barrier penetration of drugs acting on the central nervous system
inferred← citeshttps://doi.org/10.18097/pbmc20146002161openalex-snapshot
Computer modeling of blood brain barrier permeability of physiologically active compounds
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1509729/v1openalex-snapshot
Curcumin piperidone derivatives induce anti-proliferative and anti-migratory effects in LN-18 human glioblastoma cells
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1509729/v2openalex-snapshot
Curcumin piperidone derivatives induce anti-proliferative and anti-migratory effects in LN-18 human glioblastoma cells
inferred← citeshttps://doi.org/10.21203/rs.3.rs-29117/v1openalex-snapshot
A machine learning model for the prediction of drug permeability across the Blood-Brain Barrier: a comparative approach
inferred← citeshttps://doi.org/10.2174/0115734099307062240801053329openalex-snapshot
3D-QSAR, Pharmacophore Modeling, ADMET and DFT Studies of Halogenated Conjugated Dienones as Potent MAO-B Inhibitors
inferred← citeshttps://doi.org/10.2174/138920012800840419openalex-snapshot
Physiologically Based Pharmacokinetic Models: Integration of In Silico Approaches with Micro Cell Culture Analogues
inferred← citeshttps://doi.org/10.2174/1573409916666200131114018openalex-snapshot
Computer Assisted Models for Blood Brain Barrier Permeation of 1, 5-Benzodiazepines
inferred← citeshttps://doi.org/10.2788/94537openalex-snapshot
Review of QSAR Models and Software Tools for predicting Biokinetic Properties
inferred← citeshttps://doi.org/10.3109/1061186x.2015.1132224openalex-snapshot
Physicochemical property profile for brain permeability: comparative study by different approaches
inferred← citeshttps://doi.org/10.3389/fcimb.2022.838259openalex-snapshot
Biological Membrane-Penetrating Peptides: Computational Prediction and Applications
inferred← citeshttps://doi.org/10.3389/fnins.2022.858126openalex-snapshot
DeePred-BBB: A Blood Brain Barrier Permeability Prediction Model With Improved Accuracy
inferred← citeshttps://doi.org/10.3390/cells10113095openalex-snapshot
Multi-Target Effects of Novel Synthetic Coumarin Derivatives Protecting Aβ-GFP SH-SY5Y Cells against Aβ Toxicity
inferred← citeshttps://doi.org/10.3390/cells10113183openalex-snapshot
Dynamic 3D On-Chip BBB Model Design, Development, and Applications in Neurological Diseases
inferred← citeshttps://doi.org/10.3390/cells12030421openalex-snapshot
Computational Approach to Drug Penetration across the Blood-Brain and Blood-Milk Barrier Using Chromatographic Descriptors
inferred← citeshttps://doi.org/10.3390/ijms24031815openalex-snapshot
Recent Studies of Artificial Intelligence on In Silico Drug Distribution Prediction
inferred← citeshttps://doi.org/10.3390/jfb17080377openalex-snapshot
Advances in Machine Learning-Enhanced PBPK Models for Brain-Targeted Drug Delivery via Nanocarriers: A Comprehensive Review
inferred← citeshttps://doi.org/10.3390/membranes13070623openalex-snapshot
Chromatographic Data in Statistical Analysis of BBB Permeability Indices
inferred← citeshttps://doi.org/10.3390/molecules30030688openalex-snapshot
Biomimetic Chromatography/QSAR Investigations in Modeling Properties Influencing the Biological Efficacy of Phenoxyacetic Acid-Derived Congeners
inferred← citeshttps://doi.org/10.3390/ph18060773openalex-snapshot
A Classification-Based Blood–Brain Barrier Model: A Comparative Approach
inferred← citeshttps://doi.org/10.3390/pharmaceutics13122141openalex-snapshot
Large-Scale Evaluation of Collision Cross Sections to Investigate Blood-Brain Barrier Permeation of Drugs
inferred← citeshttps://doi.org/10.4103/ijam.ijam_13_23openalex-snapshot
Investigating molecular features that influence blood − brain barrier permeability of compounds
inferred← citeshttps://doi.org/10.4155/fdd-2020-0028openalex-snapshot
Artificial Intelligence in Drug Design: Algorithms, Applications, Challenges and Ethics
inferred← citeshttps://doi.org/10.52711/0974-4150.2023.00014openalex-snapshot
Use of Artificial Intelligence in Drug Discovery and its Application in Drug Development
inferred← citeshttps://doi.org/10.5599/admet.529openalex-snapshot
Leveraging chromatography based physicochemical properties for efficient drug design
inferred← citeshttps://doi.org/10.5772/19082openalex-snapshot
Prediction of Partition Coefficients and Permeability of Drug Molecules in Biological Systems with Abraham Model Solute Descriptors Derived from Measured Solubilities and Water-to-Organic Solvent Partition Coefficients
inferred← citeshttps://doi.org/10.5772/54006openalex-snapshot
Use of Analytical Methods and In-silico Techniques in Public Health Research
inferred← citeshttps://doi.org/10.6084/m9.figshare.20267401openalex-snapshot
Additional file 1 of Blood–brain barrier penetration prediction enhanced by uncertainty estimation
inferred← citeshttps://doi.org/10.6084/m9.figshare.23700425openalex-snapshot
Additional file 1 of Hybridization of the effective pharmacophores for treatment of epilepsy: design, synthesis, in vivo anticonvulsant activity, and in silico studies of phenoxyphenyl-1,3,4-oxadiazole-thio-N-phenylacetamid hybrids
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.