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Publisher Correction: High-performance virtual screening by targeting a high-resolution RNA dynamic ensemble

Laura R. Ganser
Janghyun Lee
Hashim M. Al-Hashimi
Amendments and Corrections06 May 2020
Nature Structural & Molecular Biology

Volume: 27, P: 604
Lifetime of ground conformational state determines the activity of structured RNA

Biomolecules morph between conformations with distinct lifetimes essential for function. This study reveals the cores of flaviviral RNAs stay stable up to ten million times longer than canonical base pairs to effectively resist exonuclease digestion.

Rhese D. Thompson
Derek L. Carbaugh
Qi Zhang
Research12 Feb 2025
Nature Chemical Biology

Volume: 21, P: 1021-1029
DNA mismatches reveal conformational penalties in protein–DNA recognition

A high-throughput assay that introduces mismatched base pairs into the DNA sequence shows that mismatches can increase transcription factor binding affinity by prepaying some of the energetic cost of distorting the DNA.

Ariel Afek
Honglue Shi
Raluca Gordân
Research21 Oct 2020
Nature

Volume: 587, P: 291-296
Rapid and accurate determination of atomistic RNA dynamic ensemble models using NMR and structure prediction

Determining dynamic ensembles of biomolecules is still challenging. Here the authors present an approach for rapid RNA ensemble determination that combines RNA structure prediction tools and NMR residual dipolar coupling data and use it to determine atomistic ensemble models for a variety of RNAs.

Honglue Shi
Atul Rangadurai
Hashim M. Al-Hashimi
ResearchOpen Access02 Nov 2020
Nature Communications

Volume: 11, P: 1-14
Dynamic basis for dA•dGTP and dA•d8OGTP misincorporation via Hoogsteen base pairs

Replicative errors contribute to genetic diversity needed for evolution but in high frequency lead to genomic stability. Here, NMR is used to show via a kinetic model that DNA dynamics can determine the misincorporation of A•G and A•8OG mismatches.

Stephanie Gu
Eric S. Szymanski
Hashim M. Al-Hashimi
Research24 Apr 2023
Nature Chemical Biology

Volume: 19, P: 900-910
A quantitative model predicts how m⁶A reshapes the kinetic landscape of nucleic acid hybridization and conformational transitions

m⁶A RNA post-transcriptional modification changes RNA hybridization kinetics. Here the authors show that the methylamino group can adopt syn-conformation pairing with uridine with a mismatch-like conformation in RNA duplex. They also develop a quantitative model that predicts how m6A affects the kinetics of hybridization.

Bei Liu
Honglue Shi
Hashim M. Al-Hashimi
ResearchOpen Access31 Aug 2021
Nature Communications

Volume: 12, P: 1-17
High-performance virtual screening by targeting a high-resolution RNA dynamic ensemble

A new way to virtually screen HIV-1 TAR RNA using dynamic ensembles better identifies small molecules targeting RNA secondary structures for development.

Laura R. Ganser
Janghyun Lee
Hashim M. Al-Hashimi
Research04 May 2018
Nature Structural & Molecular Biology

Volume: 25, P: 425-434

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Publisher Correction: High-performance virtual screening by targeting a high-resolution RNA dynamic ensemble

Lifetime of ground conformational state determines the activity of structured RNA

DNA mismatches reveal conformational penalties in protein–DNA recognition

Rapid and accurate determination of atomistic RNA dynamic ensemble models using NMR and structure prediction

Dynamic basis for dA•dGTP and dA•d8OGTP misincorporation via Hoogsteen base pairs

A quantitative model predicts how m6A reshapes the kinetic landscape of nucleic acid hybridization and conformational transitions

High-performance virtual screening by targeting a high-resolution RNA dynamic ensemble

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A quantitative model predicts how m⁶A reshapes the kinetic landscape of nucleic acid hybridization and conformational transitions