Evidence map›Paper›PMID 40171444›Full record

ArticleMolecular therapy. Nucleic acids2025

Improving the potency prediction for chemically modified siRNAs through insights from molecular modeling of individual sequence positions.

Evgenii Kliuchnikov, Farkhad Maksudov, Jeffrey Zuber, Sarah Hyde, Adam Castoreno, Scott Waldron, Mark K Schlegel, Kenneth A Marx, Martin A Maier, Valeri Barsegov

Abstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Evgenii KliuchnikovDepartment of Chemistry, University of Massachusetts, Lowell, MA 01854, USA.
Farkhad MaksudovDepartment of Chemistry, University of Massachusetts, Lowell, MA 01854, USA.
Jeffrey ZuberAlnylam Pharmaceuticals, Cambridge, MA 02142, USA.
Sarah HydeAlnylam Pharmaceuticals, Cambridge, MA 02142, USA.
Adam CastorenoAlnylam Pharmaceuticals, Cambridge, MA 02142, USA.
Scott WaldronAlnylam Pharmaceuticals, Cambridge, MA 02142, USA.
Mark K SchlegelAlnylam Pharmaceuticals, Cambridge, MA 02142, USA.
Kenneth A MarxDepartment of Chemistry, University of Massachusetts, Lowell, MA 01854, USA.
Martin A MaierAlnylam Pharmaceuticals, Cambridge, MA 02142, USA.
Valeri BarsegovDepartment of Chemistry, University of Massachusetts, Lowell, MA 01854, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical modifications are applied to small interfering RNAs (siRNAs) to improve their metabolic stability, specificity, and duration of pharmacodynamic effects. Despite tremendous progress made, identifying chemically modified siRNAs with drug-like properties requires empirical screening due to an intricate interdependence of siRNA sequence and chemistry, i.e., the nature and position of chemical modifications within the siRNA duplex. To improve our ability to design fully modified, potent siRNAs, we combined experimental measurements of thermodynamic stability and biological activity

Indexed as

computational molecular modelingMT: Oligonucleotides: Therapies and ApplicationsRNA interferencesiRNAstatistical inference

Identifiers

PMID40171444
PMCPMC11960531

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

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.