Literature DB >> 15149624

Application of statistical 'design of experiments' methods in drug discovery.

Heather Tye1.   

Abstract

The use of 'design of experiments' (DoE) is a revolutionary approach to optimisation and screening of experimental parameters. Simple experimental designs and statistical tools for data analysis can provide much information about the system under investigation after only a few experiments. Such information can be key in decision-making for further experiments and can enable the development of robust and reliable protocols for chemical synthesis, analytical methods or biological assays. Coupling of design of experiments with modern high-throughput automation systems has the potential to maximise the capabilities of these systems and give increased productivity for many drug discovery applications.

Mesh:

Substances:

Year:  2004        PMID: 15149624     DOI: 10.1016/S1359-6446(04)03086-7

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  14 in total

1.  A statistical approach to optimize the spray drying of starch particles: application to dry powder coating.

Authors:  Luca Bilancetti; Denis Poncelet; Catherine Loisel; Stefania Mazzitelli; Claudio Nastruzzi
Journal:  AAPS PharmSciTech       Date:  2010-08-13       Impact factor: 3.246

2.  Solubility-excipient classification gradient maps.

Authors:  Alex Avdeef; Stefanie Bendels; Oksana Tsinman; Konstantin Tsinman; Manfred Kansy
Journal:  Pharm Res       Date:  2007-03       Impact factor: 4.200

3.  A simple homemade reaction station for use in parallel solution-phase synthesis. Optimization of a regioselective one-step deprotective o-formylation reaction mediated by the Vilsmeier-Haack reagent POCl3.DMF.

Authors:  Vadim Kotlyar; Lior Shahar; J-P Lellouche
Journal:  Mol Divers       Date:  2006-05-19       Impact factor: 2.943

Review 4.  New challenges for intervertebral disc treatment using regenerative medicine.

Authors:  Koichi Masuda; Jeffrey C Lotz
Journal:  Tissue Eng Part B Rev       Date:  2010-02       Impact factor: 6.389

5.  Design-of-experiment optimization of exhaled breath condensate analysis using a miniature differential mobility spectrometer (DMS).

Authors:  Mary A Molina; Weixiang Zhao; Shankar Sankaran; Michael Schivo; Nicholas J Kenyon; Cristina E Davis
Journal:  Anal Chim Acta       Date:  2008-09-11       Impact factor: 6.558

Review 6.  Quality-by-design in hot melt extrusion based amorphous solid dispersions: An industrial perspective on product development.

Authors:  Arun Butreddy; Suresh Bandari; Michael A Repka
Journal:  Eur J Pharm Sci       Date:  2020-11-28       Impact factor: 4.384

7.  Modeling the dependence of respiration and photosynthesis upon light, acetate, carbon dioxide, nitrate and ammonium in Chlamydomonas reinhardtii using design of experiments and multiple regression.

Authors:  Stéphanie Gérin; Grégory Mathy; Fabrice Franck
Journal:  BMC Syst Biol       Date:  2014-08-16

8.  Optimization of a chondrogenic medium through the use of factorial design of experiments.

Authors:  Lars Enochson; Mats Brittberg; Anders Lindahl
Journal:  Biores Open Access       Date:  2012-12

Review 9.  Achieving optimal SERS through enhanced experimental design.

Authors:  Heidi Fisk; Chloe Westley; Nicholas J Turner; Royston Goodacre
Journal:  J Raman Spectrosc       Date:  2015-12-16       Impact factor: 3.133

10.  Active machine learning-driven experimentation to determine compound effects on protein patterns.

Authors:  Armaghan W Naik; Joshua D Kangas; Devin P Sullivan; Robert F Murphy
Journal:  Elife       Date:  2016-02-03       Impact factor: 8.140

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.