2001
DOI: 10.1016/s0169-409x(01)00179-x
|View full text |Cite
|
Sign up to set email alerts
|

Predicting the impact of physiological and biochemical processes on oral drug bioavailability

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
431
0
4

Year Published

2003
2003
2021
2021

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 572 publications
(436 citation statements)
references
References 88 publications
1
431
0
4
Order By: Relevance
“…As a consequence, it has often been applied in mechanistic GI absorption models, i.e. GastroPlus™ (6), PK-Sim® (7,8), SimCYP® (9) and some inhouse absorption models (10,11), for the Bbottom-up^predic-tion of the rate and extent of oral drug absorption.…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…As a consequence, it has often been applied in mechanistic GI absorption models, i.e. GastroPlus™ (6), PK-Sim® (7,8), SimCYP® (9) and some inhouse absorption models (10,11), for the Bbottom-up^predic-tion of the rate and extent of oral drug absorption.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, the majority of the aforementioned models can incorporate some of the physiological factors known to affect the drug's regional absorption. Remarkable progress has been made in the field of solubility and dissolution, where factors such as the pH-dependent solubility for ionisable compounds, variable GI fluid volumes, supersaturation and precipitation, presence of bile micelles and bile salt-mediated solubility enhancement, to name a few, have already been incorporated in these models (6,7,(26)(27)(28)(29)(30). Nevertheless, in terms of regional intestinal membrane permeability (once the intraluminal and intracellular processes have been accounted for), there is a need for improvements (6)(7)(8)26,28).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Modeling and simulation (oral absorption modeling and IVIVC) has become an important tool in guiding formulation development (21,22). Application of computational modeling in drug development has several advantages such as integration of all available in vitro and in vivo data to provide a more holistic view of formulation bioperformance, provides a more mechanistic understanding of in vitro formulation performance and bioperformance, and allows exploration of multiple scenarios in a much shorter timeframe and with fewer experiments thus expediting product development.…”
Section: General Strategies For Fdc Developmentmentioning
confidence: 99%
“…Extended release formulations in many cases provide further significant advantages, including improved therapeutic effect, increased patient compliance by reducing dosing frequency and decrease in incidence and /or intensity of adverse effect by a constant blood concentration [1].…”
Section: Introductionmentioning
confidence: 99%