ArticleMethods (San Diego, Calif.)2016
Structural computational modeling of RNA aptamers.
Article in Methods (San Diego, Calif.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Conjugation of hydrophobic drugs to motile pRNA 4WJ nanoparticles for spontaneous tumor targeting and undetectable toxicity.Nature protocols · 2026Review
- In silico aptamer design: from sequence selection to structural optimization and computational modelling strategies.Journal of computer-aided molecular design · 2026Review
- Therapeutic Oligonucleotides for Neurodegenerative Diseases: Aptamer Strategies and Clay Nanoparticle-Based Delivery.Chemical record (New York, N.Y.) · 2025Review
- Design and Prediction of Aptamers Assisted by In Silico Methods.Biomedicines · 2023Review
- Systematic bio-fabrication of aptamers and their applications in engineering biology.Systems microbiology and biomanufacturing · 2023Review
- Could artificial intelligence revolutionize the development of nanovectors for gene therapy and mRNA vaccines?Nano today · 2022Article
- Thermostability, Tunability, and Tenacity of RNA as Rubbery Anionic Polymeric Materials in Nanotechnology and Nanomedicine-Specific Cancer Targeting with Undetectable Toxicity.Chemical reviews · 2021Review
- Artificial Intelligence in Aptamer-Target Binding Prediction.International journal of molecular sciences · 2021Review
- Advances in the development of aptamer drug conjugates for targeted drug delivery.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2017Review
- Advances in RNA structure determination.Methods (San Diego, Calif.) · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
RNA aptamers represent an emerging class of biologics that can be easily adapted for personalized and precision medicine. Several therapeutic aptamers with desirable binding and functional properties have been developed and evaluated in preclinical studies over the past 25years. However, for the majority of these aptamers, their clinical potential has yet to be realized. A significant hurdle to the clinical adoption of this novel class of biologicals is the limited information on their secondary and tertiary structure. Knowledge of the RNA's structure would greatly facilitate and expedite the post-selection optimization steps required for translation, including truncation (to reduce costs of manufacturing), chemical modification (to enhance stability and improve safety) and chemical conjugation (to improve drug properties for combinatorial therapy). Here we describe a structural computational modeling methodology that when coupled to a standard functional assay, can be used to determine key sequence and structural motifs of an RNA aptamer. We applied this methodology to enable the truncation of an aptamer to prostate specific membrane antigen (PSMA) with great potential for targeted therapy that had failed previous truncation attempts. This methodology can be easily applied to optimize other aptamers with therapeutic potential.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.