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Fragment-based virtual screening identifies a first-in-class preclinical drug candidate for Huntingt...

Fragment-based virtual screening identifies a first-in-class preclinical drug candidate for Huntingt...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e98c904096fc4a3d86ffffc25854d444

Fragment-based virtual screening identifies a first-in-class preclinical drug candidate for Huntington’s disease

About this item

Full title

Fragment-based virtual screening identifies a first-in-class preclinical drug candidate for Huntington’s disease

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2022-11, Vol.12 (1), p.19642-19642, Article 19642

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Currently, there are no therapies available to modify the disease progression of Huntington’s disease (HD). Recent clinical trial failures of antisense oligonucleotide candidates in HD have demonstrated the need for new therapeutic approaches. Here, we developed a novel in-silico fragment scanning approach across the surface of mutant huntingtin (m...

Alternative Titles

Full title

Fragment-based virtual screening identifies a first-in-class preclinical drug candidate for Huntington’s disease

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e98c904096fc4a3d86ffffc25854d444

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e98c904096fc4a3d86ffffc25854d444

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-022-21900-2

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