SwePub
Sök i LIBRIS databas

  Utökad sökning

WFRF:(Zane Patricia)
 

Sökning: WFRF:(Zane Patricia) > IMI - oral biopharm...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00006830naa a2200913 4500
001oai:DiVA.org:uu-361061
003SwePub
008180920s2017 | |||||||||||000 ||eng|
024a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3610612 URI
024a https://doi.org/10.1016/j.ejps.2016.09.0272 DOI
040 a (SwePub)uu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Margolskee, Alisonu Univ Manchester, Manchester M13 9PL, Lancs, England4 aut
2451 0a IMI - oral biopharmaceutics tools project - evaluation of bottom-up PBPK prediction success part 1 :b Characterisation of the OrBiTo database of compounds
264 1b Elsevier BV,c 2017
338 a print2 rdacarrier
520 a Predicting oral bioavailability (F-oral) is of importance for estimating systemic exposure of orally administered drugs. Physiologically-based pharmacokinetic (PBPK) modelling and simulation have been applied extensively in biopharmaceutics recently. The Oral Biopharmaceutical Tools (OrBiTo) project (Innovative Medicines Initiative) aims to develop and improve upon biopharmaceutical tools, including PBPK absorption models. A large-scale evaluation of PBPK models may be considered the first step. Here we characterise the OrBiTo active pharmaceutical ingredient (API) database for use in a large-scale simulation study. The OrBiTo database comprised 83 APIs and 1475 study arms. The database displayed a median logP of 3.60 (2.40-4.58), human blood-to-plasma ratio of 0.62 (0.57-0.71), and fraction unbound in plasma of 0.05 (0.01-0.17). The database mainly consisted of basic compounds (48.19%) and Biopharmaceutics Classification System class II compounds (55.81%). Median human intravenous clearance was 16.9 L/h (interquartile range: 11.6-43.6 L/h; n = 23), volume of distribution was 80.8 L (54.5-239 L; n = 23). The majority of oral formulations were immediate release (IR: 87.6%). Human Foral displayed a median of 0.415 (0.203-0.724; n = 22) for IR formulations. The OrBiTo database was found to be largely representative of previously published datasets. 43 of the APIs were found to satisfy the minimum inclusion criteria for the simulation exercise, and many of these have significant gaps of other key parameters, which could potentially impact the interpretability of the simulation outcome. However, the OrBiTo simulation exercise represents a unique opportunity to perform a large-scale evaluation of the PBPK approach to predicting oral biopharmaceutics.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Medicinska och farmaceutiska grundvetenskaperx Farmaceutiska vetenskaper0 (SwePub)301012 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Basic Medicinex Pharmaceutical Sciences0 (SwePub)301012 hsv//eng
653 a Physiologically-based pharmacokinetics (PBPK)
653 a Modelling and simulation (M&S)
653 a Absorption
653 a Oral bioavailability (F-oral)
653 a Biopharmaceutics
653 a Drug database
700a Darwich, Adam S.u Univ Manchester, Manchester M13 9PL, Lancs, England4 aut
700a Pepin, Xavieru AstraZeneca, London, England;Sanofi, Paris, France4 aut
700a Pathak, Shriram M.u Simcyp Ltd, Sheffield, S Yorkshire, England4 aut
700a Bolger, Michael B.u Simulat Plus Inc, Lancaster, CA USA4 aut
700a Aarons, Leonu Univ Manchester, Manchester M13 9PL, Lancs, England4 aut
700a Rostami-Hodjegan, Aminu Simcyp Ltd, Sheffield, S Yorkshire, England;Univ Manchester, Manchester M13 9PL, Lancs, England4 aut
700a Angstenberger, Jonasu AbbVie, Wiesbaden, Germany4 aut
700a Graf, Franziskau AbbVie, Wiesbaden, Germany4 aut
700a Laplanche, Loicu AbbVie, Wiesbaden, Germany4 aut
700a Mueller, Thomasu AbbVie, Wiesbaden, Germany4 aut
700a Carlert, Sarau AstraZeneca, Gothenburg, Sweden4 aut
700a Daga, Pankaju AstraZeneca, New York, NY USA4 aut
700a Murphy, Donalu AstraZeneca, London, England4 aut
700a Tannergren, Christeru AstraZeneca, Gothenburg, Sweden4 aut
700a Yasin, Mohammedu AstraZeneca, London, England4 aut
700a Greschat-Schade, Susanneu Bayer Pharma AG, Berlin, Germany4 aut
700a Mueck, Wolfgangu Bayer Pharma AG, Berlin, Germany4 aut
700a Muenster, Uweu Bayer Pharma AG, Berlin, Germany4 aut
700a van der Mey, Dorinau Bayer Pharma AG, Berlin, Germany4 aut
700a Frank, Kerstin Juliau Boehringer Ingelheim Pharma GmbH & Co KG, Ingelheim, Germany4 aut
700a Lloyd, Richardu GlaxoSmithKline, Brentford, Middx, England4 aut
700a Adriaenssen, Lieveu Janssen, Beerse, Belgium4 aut
700a Bevernage, Janu Janssen, Beerse, Belgium4 aut
700a De Zwart, Loeckieu Janssen, Beerse, Belgium4 aut
700a Swerts, Dominiqueu Janssen, Beerse, Belgium4 aut
700a Tistaert, Christopheu Janssen, Beerse, Belgium4 aut
700a Van Den Bergh, Anu Janssen, Beerse, Belgium4 aut
700a Van Peer, Achielu Janssen, Beerse, Belgium4 aut
700a Beato, Stefaniau Novartis, Basel, Switzerland4 aut
700a Nguyen-Trung, Anh-Thu4 aut
700a Bennett, Joanneu Pfizer, Tadworth, Middx, England4 aut
700a McAllister, Marku Pfizer, Tadworth, Middx, England4 aut
700a Wong, Meiu Pfizer, Tadworth, Middx, England4 aut
700a Zane, Patriciau Sanofi, Bridgewater, NJ USA4 aut
700a Ollier, Celineu Sanofi, Paris, France4 aut
700a Vicat, Pascaleu Sanofi, Paris, France4 aut
700a Kolhmann, Markusu Sanofi, Frankfurt, Germany4 aut
700a Marker, Alexanderu Sanofi, Paris, France4 aut
700a Brun, Priscillau Sanofi, Paris, France4 aut
700a Mazuir, Florentu Sanofi, Paris, France4 aut
700a Beilles, Stephaneu Sanofi, Paris, France4 aut
700a Venczel, Martau Sanofi, Frankfurt, Germany4 aut
700a Boulenc, Xavieru Sanofi, Paris, France4 aut
700a Loos, Petrau Sanofi, Frankfurt, Germany4 aut
700a Lennernäs, Hansu Uppsala universitet,Institutionen för farmaci4 aut0 (Swepub:uu)hanslenn
700a Abrahamsson, Bertilu AstraZeneca, Gothenburg, Sweden4 aut
710a Univ Manchester, Manchester M13 9PL, Lancs, Englandb AstraZeneca, London, England;Sanofi, Paris, France4 org
773t European Journal of Pharmaceutical Sciencesd : Elsevier BVg 96, s. 598-609q 96<598-609x 0928-0987x 1879-0720
856u https://www.research.manchester.ac.uk/portal/files/46273617/Margolskee_2016_IMI_ORBITO_1.pdf
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-361061
8564 8u https://doi.org/10.1016/j.ejps.2016.09.027

Hitta via bibliotek

Till lärosätets databas

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy