Article ; Online: Novel hydrogels: are they poised to transform 3D cell-based assay systems in early drug discovery?
Expert opinion on drug discovery
2023 Volume 18, Issue 3, Page(s) 335–346
Abstract: Introduction: Success in drug discovery remains unpredictable. However, more predictive and relevant disease models are becoming pivotal to demonstrating the clinical benefits of new drugs earlier in the lengthy drug discovery process. Novel hydrogel ... ...
Abstract | Introduction: Success in drug discovery remains unpredictable. However, more predictive and relevant disease models are becoming pivotal to demonstrating the clinical benefits of new drugs earlier in the lengthy drug discovery process. Novel hydrogel scaffolds are being developed to transform the relevance of such 3D cell-based in vitro assay systems. Areas covered: Most traditional hydrogels are still of unknown composition and suffer significant batch-to-batch variations, which lead to technical constraints. This article looks at how a new generation of novel synthetic hydrogels that are based on self-assembling peptides are poised to transform 3D cell-based assay systems by improving their relevance, reproducibility and scalability. Expert opinion: The emerging advantages of using these novel hydrogels for human 3D screening assays should enable the discovery of more cost-effective drugs, leading to improved patient benefits. Such a disruptive change could also reduce the considerable time lag from obtaining in vitro assay data to initiating clinical trials. There is now a sufficient body of data available in the literature to enable this ambition to become a reality by significantly improving the predictive validity of 3D cell-based assays in early drug discovery. Novel hydrogels are key to unlocking the full potential of these assay systems. |
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MeSH term(s) | Humans ; Hydrogels/chemistry ; Reproducibility of Results ; Drug Discovery ; Peptides/chemistry |
Chemical Substances | Hydrogels ; Peptides |
Language | English |
Publishing date | 2023-02-07 |
Publishing country | England |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 2259618-5 |
ISSN | 1746-045X ; 1746-0441 |
ISSN (online) | 1746-045X |
ISSN | 1746-0441 |
DOI | 10.1080/17460441.2023.2175813 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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