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Getting in shape: controlling peptide bioactivity and bioavailability using conformational constraintsBack to the future: can physical models of passive membrane permeability help reduce drug candidate attrition and move us beyond QSPR?Nonclassical Size Dependence of Permeation Defines Bounds for Passive Adsorption of Large Drug Molecules.Beyond cyclosporine A: conformation-dependent passive membrane permeabilities of cyclic peptide natural products.In silico prediction of brain exposure: drug free fraction, unbound brain to plasma concentration ratio and equilibrium half-life.MacroEvoLution: A New Method for the Rapid Generation of Novel Scaffold-Diverse Macrocyclic LibrariesHighly predictive and interpretable models for PAMPA permeability.Optimizing PK properties of cyclic peptides: the effect of side chain substitutions on permeability and clearance().Continuum approaches to understanding ion and peptide interactions with the membrane.Predicting efflux ratios and blood-brain barrier penetration from chemical structure: combining passive permeability with active efflux by P-glycoprotein.Interconversion Rates between Conformational States as Rationale for the Membrane Permeability of Cyclosporines.
P2860
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P2860
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Testing physical models of passive membrane permeation.
@ast
Testing physical models of passive membrane permeation.
@en
type
label
Testing physical models of passive membrane permeation.
@ast
Testing physical models of passive membrane permeation.
@en
prefLabel
Testing physical models of passive membrane permeation.
@ast
Testing physical models of passive membrane permeation.
@en
P2093
P2860
P356
P1476
Testing physical models of passive membrane permeation.
@en
P2093
Jona Mijalkovic
Kenneth Borrelli
Siegfried S F Leung
P2860
P304
P356
10.1021/CI200583T
P577
2012-05-24T00:00:00Z