Literature DB >> 21096365

WebPK, a web-based tool for custom pharmacokinetic simulation.

Jaydeep Srimani1, Richard A Moffitt, May D Wang.   

Abstract

Drug bioavailability is a major failing point of new pharmaceuticals i.e. drugs fail to reach their target or fail to stay there long enough for therapeutic effect. Compounding this issue, significant variability exists between patients and how they metabolize and distribute a drug. We present WebPK, a web-based tool for simulation of custom pharmacokinetic models. Model parameters can be entered manually or uploaded as a file. Simulation computations are performed on the server side, and thus require minimal client resources, which makes WebPK suitable for mobile devices. Time series biodistribution data are returned to the user in graphical and numerical form for quick interpretation or archiving. Results generated from WebPK are consistent with previously published pharmacokinetic models. This work is expected to provide physicians with access to easy simulation of patient pharmacokinetic profiles, which will allow for the prescription of more efficient and personalized drug regimens. URL: http://webpk.bme.gatech.edu.

Entities:  

Mesh:

Year:  2010        PMID: 21096365      PMCID: PMC5003049          DOI: 10.1109/IEMBS.2010.5626843

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  7 in total

1.  Ways to fit a PK model with some data below the quantification limit.

Authors:  S L Beal
Journal:  J Pharmacokinet Pharmacodyn       Date:  2001-10       Impact factor: 2.745

Review 2.  Physiologically-based pharmacokinetic simulation modelling.

Authors:  George M Grass; Patrick J Sinko
Journal:  Adv Drug Deliv Rev       Date:  2002-03-31       Impact factor: 15.470

3.  Development of predictive pharmacokinetic simulation models for drug discovery.

Authors:  D A Norris; G D Leesman; P J Sinko; G M Grass
Journal:  J Control Release       Date:  2000-03-01       Impact factor: 9.776

4.  A physiologically based pharmacokinetic model of docetaxel disposition: from mouse to man.

Authors:  Erica L Bradshaw-Pierce; S Gail Eckhardt; Daniel L Gustafson
Journal:  Clin Cancer Res       Date:  2007-05-01       Impact factor: 12.531

5.  HFT-T, a targeting nanoparticle, enhances specific delivery of paclitaxel to folate receptor-positive tumors.

Authors:  Xu Wang; Jun Li; Yiqing Wang; Kwang Jae Cho; Gloria Kim; Ada Gjyrezi; Lydia Koenig; Paraskevi Giannakakou; Hyung Ju C Shin; Mourad Tighiouart; Shuming Nie; Zhuo Georgia Chen; Dong M Shin
Journal:  ACS Nano       Date:  2009-10-27       Impact factor: 15.881

6.  Predictive pharmacokinetic-pharmacodynamic modeling of tumor growth kinetics in xenograft models after administration of anticancer agents.

Authors:  Monica Simeoni; Paolo Magni; Cristiano Cammia; Giuseppe De Nicolao; Valter Croci; Enrico Pesenti; Massimiliano Germani; Italo Poggesi; Maurizio Rocchetti
Journal:  Cancer Res       Date:  2004-02-01       Impact factor: 12.701

7.  An agent-based stochastic tumor model for predicting mitotic arrest drug response.

Authors:  Brandon M Fox; Richard A Moffitt; May D Wang
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2008
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.