about
Screening and characterisation of antimicrobial properties of semisynthetic betulin derivativesDynamic and multi-pharmacophore modeling for designing polo-box domain inhibitorsIn Silico and In Vitro Analysis of Bacoside A Aglycones and Its Derivatives as the Constituents Responsible for the Cognitive Effects of Bacopa monnieriDrug Targets for Cardiovascular-Safe Anti-Inflammatory: In Silico Rational Drug StudiesA BOILED-Egg To Predict Gastrointestinal Absorption and Brain Penetration of Small MoleculesFrom a library of MAG antagonists to nanomolar CD22 ligands.Artificial neural network models for prediction of intestinal permeability of oligopeptides.The design of novel inhibitors for treating cancer by targeting CDC25B through disruption of CDC25B-CDK2/Cyclin A interaction using computational approaches.Synthesis, bioactivity, 3D-QSAR studies of novel dibenzofuran derivatives as PTP-MEG2 inhibitors.3-Hydroxypyridin-2-thione as novel zinc binding group for selective histone deacetylase inhibition.Identification of novel multitargeted PPARα/γ/δ pan agonists by core hopping of rosiglitazoneQuantitation of small intestinal permeability during normal human drug absorption.2-amino-N-(2,6-dichloropyridin-3-yl)acetamide derivatives as a novel class of HBV capsid assembly inhibitor.Intestinal transport of sophocarpine across the Caco-2 cell monolayer model and quantification by LC/MS.Cellular quantitative structure-activity relationship (Cell-QSAR): conceptual dissection of receptor binding and intracellular disposition in antifilarial activities of Selwood antimycins.The relationship between target-class and the physicochemical properties of antibacterial drugs.Prediction methods and databases within chemoinformatics: emphasis on drugs and drug candidates.The use of biopharmaceutic classification of drugs in drug discovery and development: current status and future extension.Network pharmacology-based virtual screening of natural products from Clerodendrum species for identification of novel anti-cancer therapeutics.Strategies to improve oral drug bioavailability.Modeling kinetics of subcellular disposition of chemicals.Application of method suitability for drug permeability classification.Discovery of ABT-263, a Bcl-family protein inhibitor: observations on targeting a large protein-protein interaction.The flavonoid derivative 2-(4' Benzyloxyphenyl)-3-hydroxy-chromen-4-one protects against Aβ42-induced neurodegeneration in transgenic Drosophila: insights from in silico and in vivo studies.Optimization of Pharmacokinetics through Manipulation of Physicochemical Properties in a Series of HCV Inhibitors.Gastrointestinal microphysiological systems.Molecular basis and potential activity of HIV-1 reverse transcriptase toward trimethylamine-based compounds.Computational model for predicting chemical substituent effects on passive drug permeability across parallel artificial membranes.New compounds identified through in silico approaches reduce the α-synuclein expression by inhibiting prolyl oligopeptidase in vitro.A cell-based molecular transport simulator for pharmacokinetic prediction and cheminformatic exploration.Cell-based multiscale computational modeling of small molecule absorption and retention in the lungs.Chemical substituent effect on pyridine permeability and mechanistic insight from computational molecular descriptors.SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules.Intestinal permeability in cirrhotic patients with and without spontaneous bacterial peritonitis: is the ring closed?3D-QSAR and cell wall permeability of antitubercular nitroimidazoles against Mycobacterium tuberculosis.Drug absorption from the isolated perfused rat lung--correlations with drug physicochemical properties and epithelial permeability.Prediction of permeability coefficients of compounds through caco-2 cell monolayer using artificial neural network analysis.Quantitative structure-pharmacokinetic relationship modelling: apparent volume of distribution.Active site fingerprinting and pharmacophore screening strategies for the identification of dual inhibitors of protein kinase C [Formula: see text] and poly (ADP-ribose) polymerase-1 (PARP-1).Identification of 1H-indene-(1,3,5,6)-tetrol derivatives as potent pancreatic lipase inhibitors using molecular docking and molecular dynamics approach.
P2860
Q28540869-ED691C70-3FEA-410C-AD5C-34A2263C1B9BQ28540900-8A92FB71-A956-4258-BD77-483865158DE3Q28547187-AC7D080F-9869-45B1-A22C-8944417110CAQ28552684-890B3AC3-F096-490B-9057-5F336E6DCD9EQ28822513-29236414-DCAB-49D2-BCCD-3E0470A709CCQ31032076-B5B69DED-C7C1-411D-BE26-B052871FF3F7Q33290486-E4299A26-F2B5-4D1A-B8A4-37E08DA4CBD2Q33779423-0EF5E1E5-BC9C-4CAF-B7BD-16C140C61A4CQ33888832-B07350F4-F4C9-4D37-BD12-82315B4196CCQ34336500-E2A83D6F-6485-4DA5-966C-CD3AE3014A32Q34511474-C97EC5DD-66D2-497F-97F5-5A7FC7BF23A8Q34783396-2F9A8832-EE6C-40CF-9ED5-D136E8C6B50CQ35076698-88368C82-44DB-4129-986D-159D7A45D0DAQ35174178-01331A86-F9D5-471B-AD1B-A1D401F7F778Q35917151-90D83D94-556A-4222-9EDF-1725060A91A1Q35955567-EEE1F449-BE50-4818-8E96-0A43AAACCD63Q36043183-601BFCB4-71A7-4F1F-BB38-E34995724515Q36088451-D90E34F0-DBB1-4B6B-82B5-A086A17422BDQ36245161-60D322BF-A8C4-4F04-ADA1-5031FF9582AAQ36316751-4EB48FB4-41E5-4F27-BB40-BE577FC2D30BQ37194304-F3B5CC04-31A9-4B6E-B898-0AE7DFB7E201Q37784730-B253BFA6-F42D-4CCA-A265-B269155E47ABQ38090682-B0D9D475-14DB-4E13-A8ED-3934AF83B400Q39215023-B46195EC-0142-4FC4-B120-F0B0EE0A14C7Q39513712-B2E51B57-6A23-4299-919C-3341ADAEFB9FQ40189708-6351C533-83F1-444A-A453-1C89A89A685EQ40446517-ED1C770D-1F53-4AC6-9D84-E74BBC99747FQ41437320-BAD1817A-CB08-4BFF-B9FF-F84675385732Q41544270-D6B6A8A2-0091-4A81-824A-EAFEF25611B3Q42097656-3E70CC85-5011-4DB4-9998-D8B862D9EC92Q42117539-5DB3B3CB-168C-4365-B0E0-B2CF53EFFC41Q42131000-D7FB8907-0D31-462D-9D9B-6DD44DE67223Q42318665-95207436-4B0F-45A4-AFFF-F7E56C996554Q43257958-E8D75A2A-4A13-4C80-989A-6AA4137BAE50Q43973952-12F7C5DE-3CDF-423C-BD6F-7991B716EEC5Q44507599-C3C19DDA-441E-445B-AD06-FFEA860E5272Q46818266-98B8E07C-4E52-4FBB-8795-49EE797E66B8Q47939712-5B1C63CA-B38A-48C5-A5FE-C15BB2F34AE5Q50639847-8294177E-1A8A-41C0-B5E3-FD291D337AB7Q50868368-B7437094-90F7-47FA-8941-E15549214216
P2860
description
2002 nî lūn-bûn
@nan
2002 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի մարտին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
Prediction of intestinal permeability.
@ast
Prediction of intestinal permeability.
@en
Prediction of intestinal permeability.
@nl
type
label
Prediction of intestinal permeability.
@ast
Prediction of intestinal permeability.
@en
Prediction of intestinal permeability.
@nl
prefLabel
Prediction of intestinal permeability.
@ast
Prediction of intestinal permeability.
@en
Prediction of intestinal permeability.
@nl
P1476
Prediction of intestinal permeability.
@en
P2093
Georgio Lauri
William J Egan
P304
P356
10.1016/S0169-409X(02)00004-2
P407
P577
2002-03-01T00:00:00Z