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Journal of Pharmaceutical Sciences
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Predicting the Crystallization Propensity of Drug-Like Molecules

Authors: Bruno C, Hancock;

Predicting the Crystallization Propensity of Drug-Like Molecules

Abstract

Predicting the crystallization propensity of drug-like molecules is one of the most significant challenges facing pharmaceutical scientists today. Despite the importance of being able to understand what structural features of a molecule (polarity, molecular size, etc.) and which experimental conditions (temperature, concentration, etc.) permit a molecule to crystallize, there has been very little published work focused on this topic. This commentary provides a short overview of recent progress in this area and points to potential experimental and computational approaches that might be used in the future.

Related Organizations
Keywords

Models, Chemical, Pharmaceutical Preparations, Protein Conformation, Molecular Conformation, Temperature, Proteins, Crystallization

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    20
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Top 10%
bronze