ArticleNucleic acids research2026
Characterization of flexible RNA binding by tandem RNA recognition motifs through integrative ensemble modelling.
Article in Nucleic acids research, 2026. 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
9 authors.
Funding
Abstract
Multi-functional, promiscuous RNA-binding proteins may exhibit substantial disorder in both their free and bound states. The tandem RNA recognition motifs (RRMs) of SRSF1 can serve as a model for such behaviour, as they bind RNA with RRM1 either upstream or downstream from RRM2. Here, we study binding of two short single-stranded RNAs with different directionality to a construct featuring the tandem RRMs and their 30-residue flexible linker. We integrate NMR paramagnetic relaxation enhancement (PRE) and electron paramagnetic resonance (EPR) distance distribution restraints for ensemble modelling. Binding only moderately reduces the occupied conformation space. Ensembles with RRM2 bound downstream or upstream from RRM1 are clearly distinguishable. The system can serve as a testbed for integrative ensemble modelling approaches. Initial conformer pools generated by AlphaFold3 are more compact than those generated by other approaches. AlphaFold3 fails to predict RNA binding of RRM2. Ensembles generated with MMMx using rigid body search to fit distance distributions, followed by selection of a population-weighed subset of conformers consistent with both EPR data and PREs, gave the best fit, and were robust to elimination of individual distance distributions. We also present a less demanding PRE-only approach using multi-state structure calculations with CYANA.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.