ReviewBioactive materials2027
From RNA design to delivery: Computational strategies for functional RNA therapeutics.
Review in Bioactive materials, 2027. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
RNA therapeutics provide a revolutionary means of treating a variety of diseases by precisely regulating gene expression and protein synthesis, with great medical significance. However, there are three key challenges to its clinical application: the inherent instability of RNA, the need for controlled regulation of RNA function, and the lack of an efficient delivery system. Computational strategies provide complementary tools for analyzing and optimizing RNA sequence, structure, function, and delivery, accelerating the rational design of RNAs and the optimization of delivery systems. This review systematically introduces two core advances in the field of RNA therapy: (1) the design and optimization of RNAs based on predictive modeling and algorithmic screening; (2) the intelligent transformation of the delivery system through data-driven methods. Based on these developments, we discuss three future directions for computational RNA molecular design across the dimensions of design algorithms, design mechanisms, and design architectures. This review not only summarizes computational approaches developed to address key challenges in RNA therapeutics, but also highlights opportunities for integrated RNA-delivery co-design. These advances may provide useful insights for the development of next-generation precision therapeutics and their future clinical translation.
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What Socratic holds
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 Socratic graph.