SynthesisMolecules (Basel, Switzerland)2020
Towards Deep Neural Network Models for the Prediction of the Blood-Brain Barrier Permeability for Diverse Organic Compounds.
Synthesis in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed.
- Influence of N-Functionalization of Amiridine on the Biological Activity of Its Conjugates as Multitarget Agents for Potential Treatment of Alzheimer's Disease.ChemMedChem · 2026Article
- Predicting Blood-Brain Barrier Permeability from Experimental Data: An Interpretable and Externally Validated Machine Learning Framework.Pharmaceutics · 2026Article
- Computational Design of Drugs for Epilepsy using a Novel Guided Evolutionary Algorithm for Enhanced Blood Brain Barrier Permeability.Central nervous system agents in medicinal chemistry · 2026Article
- Machine Learning in Drug Development for Neurological Diseases: A Review of Blood Brain Barrier Permeability Prediction Models.Molecular informatics · 2025Review
- Refined ADME Profiles for ATC Drug Classes.Pharmaceutics · 2025Article
- Leveraging machine learning models in evaluating ADMET properties for drug discovery and development.ADMET & DMPK · 2025Review
- Conjugates of amiridine and salicylic derivatives as promising multifunctional CNS agents for potential treatment of Alzheimer's disease.Archiv der Pharmazie · 2025Article
- Log BB Prediction Models Using TLC and HPLC Retention Values as Protein Affinity Data.Pharmaceutics · 2024Article
- Experimental and Computational Methods to Assess Central Nervous System Penetration of Small Molecules.Molecules (Basel, Switzerland) · 2024Review
- Combining Experimental and Computational Methods to Produce Conjugates of Anticholinesterase and Antioxidant Pharmacophores with Linker Chemistries Affecting Biological Activities Related to Treatment of Alzheimer's Disease.Molecules (Basel, Switzerland) · 2024Article
- Improving ADMET Prediction Accuracy for Candidate Drugs: Factors to Consider in QSPR Modeling Approaches.Current topics in medicinal chemistry · 2024Review
- 5-Nitroisoxazoles inInternational journal of molecular sciences · 2023Article
- Conjugates of Tacrine and Salicylic Acid Derivatives as New Promising Multitarget Agents for Alzheimer's Disease.International journal of molecular sciences · 2023Article
- Machine Learning Prediction of Mycobacterial Cell Wall Permeability of Drugs and Drug-like Compounds.Molecules (Basel, Switzerland) · 2023Article
- Derivatives of 9-phosphorylated acridine as butyrylcholinesterase inhibitors with antioxidant activity and the ability to inhibit β-amyloid self-aggregation: potential therapeutic agents for Alzheimer's disease.Frontiers in pharmacology · 2023Article
- Novel Nanomolar Allosteric Modulators of AMPA Receptor of Bis(pyrimidine) Series: Synthesis, Biotesting and SAR Analysis.Molecules (Basel, Switzerland) · 2022Article
- New Multifunctional Agents for Potential Alzheimer's Disease Treatment Based on Tacrine Conjugates with 2-Arylhydrazinylidene-1,3-Diketones.Biomolecules · 2022Article
- Bis-Amiridines as Acetylcholinesterase and Butyrylcholinesterase Inhibitors:Molecules (Basel, Switzerland) · 2022Article
- Development of QSAR models to predict blood-brain barrier permeability.Frontiers in pharmacology · 2022Article
- A Facile Approach to Bis(isoxazoles), Promising Ligands of the AMPA Receptor.Molecules (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Permeation through the blood-brain barrier (BBB) is among the most important processes controlling the pharmacokinetic properties of drugs and other bioactive compounds. Using the fragmental (substructural) descriptors representing the occurrence number of various substructures, as well as the artificial neural network approach and the double cross-validation procedure, we have developed a predictive in silico
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.