Industrializing rare disease therapy discovery and development
Open accessThe claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Recent progress in gene therapies could offer more options for treating GARDs.
“Since a majority of GARDs stem from genetic disorders, recent progresses in gene therapies could offer more options for treating GARDs.[3, 5]”
From RNA delivery biomaterials for the treatment of genetic and rare diseases (2019) · cites this paper as [5]
A majority of GARDs stem from genetic disorders.
“Since a majority of GARDs stem from genetic disorders, recent progresses in gene therapies could offer more options for treating GARDs.[3, 5]”
From RNA delivery biomaterials for the treatment of genetic and rare diseases (2019) · cites this paper as [5]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Rare diseases and orphan drugs
Melnikova, I. (2012) · Nature Reviews Drug Discovery · doi:10.1038/nrd3654 · Cited by 214 · see citing works
VandenDriessche, T., Thorrez, L., Acosta‐Sanchez, A., Petrus, I., Wang, L., Ma, L., Waele, L. D., Iwasaki, Y., Gillijns, V., Wilson, J. M., et al. (2006) · Journal of Thrombosis and Haemostasis · doi:10.1111/j.1538-7836.2006.02220.x · Cited by 210 · see citing works
Yang, Y., Allen, E., Ding, J., & Wang, W. (2007) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-007-6396-4 · Cited by 55 · see citing works
Restoration of Cytoskeleton Homeostasis After Gigaxonin Gene Transfer for Giant Axonal Neuropathy
Mussche, S., Devreese, B. V., Kalburgi, S. N., Bachaboina, L., Fox, J. C., Shih, H.-J. S., Coster, R. V., Samulski, R. J., & Gray, S. J. (2013) · Human Gene Therapy · doi:10.1089/hum.2012.107 · Cited by 52 · see citing works
Multifaceted roles of ultra-rare and rare disease patients/parents in drug discovery
Wood, J., Sames, L., Moore, A. T., et al. (2013) · Drug Discovery Today · doi:10.1016/j.drudis.2013.08.006 · Cited by 40 · see citing works
Shen, T. S., Lee, A., Shen, C., & Lin, C. J. (2015) · Genetics Research · doi:10.1017/s0016672315000166 · Cited by 27 · see citing works
The Discovery of Medicines for Rare Diseases
Swinney, D. C., & Xia, S. (2014) · Future Medicinal Chemistry · doi:10.4155/fmc.14.65 · Cited by 24 · see citing works
Patients as key partners in rare disease drug development
Bronstein, M. G., & Kakkis, E. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.133 · Cited by 23 · see citing works
Gilkes, J. A., Bloom, M. D., & Heldermon, C. D. (2015) · Gene Therapy · doi:10.1038/gt.2015.111 · Cited by 12 · see citing works
Disruptive Innovation and Transformation of the Drug Discovery and Development Enterprise
FasterCures, Munos, B. H., & Orloff, J. J. (2016) · NAM Perspectives · doi:10.31478/201607c · Cited by 12 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Exploiting machine learning for end-to-end drug discovery and development
Ekins, S., Puhl, A. C., Zorn, K. M., Lane, T. R., Russo, D. P., Klein, J. J., Hickey, A. J., & Clark, A. M. (2019) · Nature Materials · doi:10.1038/s41563-019-0338-z · Cited by 578 · see citing works
Self-citationArtificial intelligence (AI) in rare diseases: is the future brighter?
Brasil, S., Pascoal, C., Francisco, R., dos Reis Ferreira, V., A. Videira, P., & Valadão, G. (2019) · Genes · doi:10.3390/genes10120978 · Cited by 160 · see citing works
RNA delivery biomaterials for the treatment of genetic and rare diseases
Zhao, W., Hou, X., Vick, O. G., & Dong, Y. (2019) · Biomaterials · doi:10.1016/j.biomaterials.2019.119291 · Cited by 82 · see citing works
eRAM: encyclopedia of rare disease annotations for precision medicine
Jia, J., An, Z., Ming, Y., Guo, Y., Li, W., Liang, Y., Guo, D., Li, X., Tai, J., Chen, G., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1062 · Cited by 35 · see citing works
Doing it All - How Families are Reshaping Rare Disease Research
Ekins, S., & Perlstein, E. O. (2018) · Pharmaceutical Research · doi:10.1007/s11095-018-2481-7 · Cited by 10 · see citing works
Self-citation
- Authors
- Ekins, S.
- Affiliations
- Phoenix Nest (United States) (US)
- Corresponding author
- Ekins, Sean
- ORCID
- Ekins, Sean
- Venue
- Nature Biotechnology
- Published
- 2017-02
- Volume
- 35
- Issue
- 2
- Pages
- 117-118
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- PMC
- PMC5320585
- OpenAlex
- W2587028347
- Cited by
- 28
- References
- 10
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 4 · 2021: 5 · 2020: 2 · 2019: 6 · 2018: 6 · 2017: 2
- FWCI
- 2.90
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Rare Disease Foundation
- National Institutes of Health
- National Institute of Neurological Disorders and Stroke (R42NS089061)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Health Sciences › Medicine › Reproductive Medicine › Science, Research, and Medicine
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
- Keywords
- rare diseases, drug discovery, drug development, industrialization, congenital generalized lipodystrophy, deep learning, rare disease therapeutics
- MeSH terms
- Clinical Trials as Topic, Drug Industry, Humans, Genetic Therapy, Rare Diseases, Drug Discovery, Giant Axonal Neuropathy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review