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Cited by 218

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Design of a small molecule against an oncogenic noncoding RNA

Open access
Velagapudi, Sai Pradeep, Cameron, Michael D., Haga, Christopher L., Rosenberg, Laura H., Lafitte, Marie, Duckett, Derek R., Phinney, Donald G., Disney, Matthew D.·2016·Proceedings of the National Academy of Sciences

Abstract

Significance: The goal of precision medicine is to identify selective drugs that modulate disease-causing biomolecules. This slow process often involves developing a high-throughput screen to test millions of potential drugs to find a few that affect the biomolecule. Here, we describe a facile approach using a disease-causing biomolecule’s sequence to enable design of specific drugs, eliminating arduous and time-consuming screens. By using the sequence of a non–protein-coding, oncogenic RNA, we designed a drug specifically targeting the RNA’s folded structure. In cells and animals, the drug inhibits its target, killing cancer cells while leaving healthy cells unaffected. Thus, a preclinical anticancer drug candidate can be quickly designed from sequence.

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Registry

Crossref · 10.1073/pnas.1523975113

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Metadata

Authors
Velagapudi, S. P., Cameron, M. D., Haga, C. L., Rosenberg, L. H., Lafitte, M., Duckett, D. R., Phinney, D. G., & Disney, M. D.
Venue
Proceedings of the National Academy of Sciences
Published
2016-05-11
Volume
113
Issue
21
Pages
5898-5903
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2383467331
Cited by
218
References
4
FWCI
10.53
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Design of a small molecule against an oncogenic noncoding RNA. https://app.cochat.ai/papers/10.1073/pnas.1523975113
The paper
Velagapudi, S. P., Cameron, M. D., Haga, C. L., Rosenberg, L. H., Lafitte, M., Duckett, D. R., Phinney, D. G., & Disney, M. D. (2016). Design of a small molecule against an oncogenic noncoding RNA. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1523975113

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.