New predictive models for blood-brain barrier permeability of drug-like molecules
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Open Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery DatasetsEvolving carbapenemases: can medicinal chemists advance one step ahead of the coming storm?Deriving therapies for children with primary CNS tumors using pharmacokinetic modeling and simulation of cerebral microdialysis dataTowards Better BBB Passage Prediction Using an Extensive and Curated Data Set.Hybrid scoring and classification approaches to predict human pregnane X receptor activatorsMolecular similarity methods for predicting cross-reactivity with therapeutic drug monitoring immunoassays.The importance of discerning shape in molecular pharmacology.Image-guided synthesis reveals potent blood-brain barrier permeable histone deacetylase inhibitors.Evaluation of computational docking to identify pregnane X receptor agonists in the ToxCast database.Identification of Nitazoxanide as a Group I Metabotropic Glutamate Receptor Negative Modulator for the Treatment of Neuropathic Pain: An In Silico Drug Repositioning Study.Avalanche for shape and feature-based virtual screening with 3D alignment.P-glycoprotein deficient mouse in situ blood-brain barrier permeability and its prediction using an in combo PAMPA model.Structural features of mammalian histidine decarboxylase reveal the basis for specific inhibition.Improving the prediction of drug disposition in the brain.Can we predict blood brain barrier permeability of ligands using computational approaches?Support vector machines for drug discovery.Prediction of pharmacokinetic parameters using a genetic algorithm combined with an artificial neural network for a series of alkaloid drugs.The Next Era: Deep Learning in Pharmaceutical Research.The role of multidrug resistance protein (MRP-1) as an active efflux transporter on blood-brain barrier (BBB) permeability.Predict drug permeability to blood-brain-barrier from clinical phenotypes: drug side effects and drug indications.Identification and characterization of a novel class of atypical dopamine receptor agonists.Qualitative prediction of blood-brain barrier permeability on a large and refined dataset.Qualitative and quantitative structure-activity relationship modelling for predicting blood-brain barrier permeability of structurally diverse chemicals.Predictivity approach for quantitative structure-property models. Application for blood-brain barrier permeation of diverse drug-like compounds.Computational systems biology approaches for Parkinson's disease.Role of breast cancer resistance protein (BCRP) as active efflux transporter on blood-brain barrier (BBB) permeability.Computational prediction of CNS drug exposure based on a novel in vivo dataset.In Silico ADME/Tox Predictions
P2860
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P2860
New predictive models for blood-brain barrier permeability of drug-like molecules
description
2008 nî lūn-bûn
@nan
2008 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
New predictive models for blood-brain barrier permeability of drug-like molecules
@ast
New predictive models for blood-brain barrier permeability of drug-like molecules
@en
New predictive models for blood-brain barrier permeability of drug-like molecules.
@nl
type
label
New predictive models for blood-brain barrier permeability of drug-like molecules
@ast
New predictive models for blood-brain barrier permeability of drug-like molecules
@en
New predictive models for blood-brain barrier permeability of drug-like molecules.
@nl
prefLabel
New predictive models for blood-brain barrier permeability of drug-like molecules
@ast
New predictive models for blood-brain barrier permeability of drug-like molecules
@en
New predictive models for blood-brain barrier permeability of drug-like molecules.
@nl
P2093
P2860
P1476
New predictive models for blood-brain barrier permeability of drug-like molecules
@en
P2093
Dmitriy Chekmarev
Sandhya Kortagere
William J Welsh
P2860
P304
P356
10.1007/S11095-008-9584-5
P50
P577
2008-04-16T00:00:00Z