Evidence map›Paper›PMID 38226603›Full record

ArticleJournal of chemical information and modeling2024

Mechanism of Ligand Binding to Theophylline RNA Aptamer.

Sana Akhter, Zhichao Tang, Jinan Wang, Mercy Haboro, Erik D Holmstrom, Jingxin Wang, Yinglong Miao

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

7 authors.

Sana AkhterComputational Biology Program and Department of Molecular Biosciences, University of Kansas, Lawrence, Kansas 66047, United States.
Zhichao TangDepartment of Medicinal Chemistry, University of Kansas, Lawrence, Kansas 66047, United States.
Jinan WangComputational Biology Program and Department of Molecular Biosciences, University of Kansas, Lawrence, Kansas 66047, United States.ORCID 0000-0003-0162-212X
Mercy HaboroDepartment of Medicinal Chemistry, University of Kansas, Lawrence, Kansas 66047, United States.
Erik D HolmstromDepartment of Molecular Biosciences and Department of Chemistry, University of Kansas, Lawrence, Kansas 66045, United States.ORCID 0000-0003-2624-0806
Jingxin WangDepartment of Medicinal Chemistry, University of Kansas, Lawrence, Kansas 66047, United States.ORCID 0000-0002-9414-4093
Yinglong MiaoComputational Biology Program and Department of Molecular Biosciences, University of Kansas, Lawrence, Kansas 66047, United States.ORCID 0000-0003-3714-1395

Funding

Modulating gene expression by RNA-targeting chimerasR35GM147498 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI Jingxin Wang · 2022 to 2026
$2.1M
NIGMS NIH HHS R35 GM147498
6 · The paper itself

Abstract

Studying RNA-ligand interactions and quantifying their binding thermodynamics and kinetics are of particular relevance in the field of drug discovery. Here, we combined biochemical binding assays and accelerated molecular simulations to investigate ligand binding and dissociation in RNA using the theophylline-binding RNA as a model system. All-atom simulations using a Ligand Gaussian accelerated Molecular Dynamics method (LiGaMD) have captured repetitive binding and dissociation of theophylline and caffeine to RNA. Theophylline's binding free energy and kinetic rate constants align with our experimental data, while caffeine's binding affinity is over 10,000 times weaker, and its kinetics could not be determined. LiGaMD simulations allowed us to identify distinct low-energy conformations and multiple ligand binding pathways to RNA. Simulations revealed a "conformational selection" mechanism for ligand binding to the flexible RNA aptamer, which provides important mechanistic insights into ligand binding to the theophylline-binding model. Our findings suggest that compound docking using a structural ensemble of representative RNA conformations would be necessary for structure-based drug design of flexible RNA.

Indexed as

Aptamers, NucleotideTheophyllineCaffeineLigandsMolecular Dynamics SimulationRNAAptamers, NucleotideCaffeineLigandsRNATheophylline

Identifiers

PMID38226603
PMCPMC11058067

What OpenQuestion holds

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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 OpenQuestion graph.