Habit Modification of the Active Pharmaceutical Ingredient Lovastatin Through a Predictive Solvent Selection Approach

Turner, TD orcid.org/0000-0003-3776-2044, Hatcher, LE, Wilson, CC et al. (1 more author) (2019) Habit Modification of the Active Pharmaceutical Ingredient Lovastatin Through a Predictive Solvent Selection Approach. Journal of Pharmaceutical Sciences, 108 (5). pp. 1779-1787. ISSN 0022-3549

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 American Pharmacists Association ®. Published by Elsevier Inc. All rights reserved. This is an author produced version of a paper published in Journal of Pharmaceutical Sciences. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: molecular modelling; synthonic engineering; surface chemistry; morphology prediction; lattice energy; lovastatin
Dates:
  • Published: May 2019
  • Accepted: 13 December 2018
  • Published (online): 24 December 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Chemical & Process Engineering (Leeds)
Funding Information:
FunderGrant number
Pfizerno ext ref
EPSRCEP/I014446/1
Innovate UK fka Technology Strategy Board (TSB)14060
EPSRCEP/P006965/1
Depositing User: Symplectic Publications
Date Deposited: 07 Mar 2019 11:29
Last Modified: 07 May 2019 15:05
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.xphs.2018.12.012

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Embargoed until: 24 December 2019

Filename: manuscript_lovastatin_v4.pdf

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Embargoed until: 24 December 2019

Filename: Supporting Information for Deposition v4 (1).pdf

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