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RNA genome conservation and secondary structure in SARS-CoV-2 and SARS-related viruses: a first look

RNA (Cambridge), 2020-08, Vol.26 (8), p.937-959

2020

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Transferable Neural Networks for Enhanced Sampling of Protein Dynamics

Journal of chemical theory and computation, 2018-04, Vol.14 (4), p.1887-1894

2018

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Combinatorial optimization of mRNA structure, stability, and translation for RNA-based therapeutics

Nature communications, 2022-03, Vol.13 (1), p.1536-1536, Article 1536

2022

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Surface and Stability Characterization of a Nanoporous ZIF‑8 Thin Film

Journal of physical chemistry. C, 2014-07, Vol.118 (26), p.14449-14456

2014

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Predicting multiple conformations via sequence clustering and AlphaFold2

Nature (London), 2024-01, Vol.625 (7996), p.832-839

2024

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RNA secondary structure packages evaluated and improved by high-throughput experiments

Nature methods, 2022-10, Vol.19 (10), p.1234-1242

2022

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Theoretical basis for stabilizing messenger RNA through secondary structure design

Nucleic acids research, 2021-10, Vol.49 (18), p.10604-10617

2021

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Note: Variational encoding of protein dynamics benefits from maximizing latent autocorrelation

The Journal of chemical physics, 2018-12, Vol.149 (21), p.216101-216101

2018

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A modular DNA scaffold to study protein-protein interactions at single-molecule resolution

Nature nanotechnology, 2019-10, Vol.14 (10), p.988-993

2019

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Variational encoding of complex dynamics

Physical review. E, 2018-06, Vol.97 (6-1), p.062412-062412, Article 062412

2018

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Crowdsourced RNA design discovers diverse, reversible, efficient, self-contained molecular switches

Proceedings of the National Academy of Sciences - PNAS, 2022-05, Vol.119 (18), p.e2112979119

2022

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Investigating the role of boundary bricks in DNA brick self-assembly

Soft matter, 2017-02, Vol.13 (8), p.167-168

2017

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A Minimum Variance Clustering Approach Produces Robust and Interpretable Coarse-Grained Models

Journal of chemical theory and computation, 2018-02, Vol.14 (2), p.1071-1082

2018

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Deep learning models for predicting RNA degradation via dual crowdsourcing

Nature machine intelligence, 2022-12, Vol.4 (12), p.1174-1184

2022

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Effects of Al(3+) on Phosphocholine and Phosphoglycerol Containing Solid Supported Lipid Bilayers

Langmuir, 2016-02, Vol.32 (7), p.1771

2016

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Effects of Al3+ on Phosphocholine and Phosphoglycerol Containing Solid Supported Lipid Bilayers

Langmuir, 2016-02, Vol.32 (7), p.1771-1781

2016

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Monitoring N3 Dye Adsorption and Desorption on TiO2 Surfaces: A Combined QCM‑D and XPS Study

ACS applied materials & interfaces, 2014-06, Vol.6 (12), p.9093-9099

2014

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Learning RNA structure prediction from crowd-designed RNAs

Nature methods, 2022-10, Vol.19 (10), p.1181-1182

2022

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Hierarchical Clustering of Markov State Models Reveals Sequence Effects in p53-CTD Dynamic Behavior

Biophysical journal, 2018-02, Vol.114 (3), p.561a-561a

2018

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Correction to ‘Theoretical basis for stabilizing messenger RNA through secondary structure design’

Nucleic acids research, 2021-11, Vol.49 (19), p.11405-11405

2021

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A Modular DNA Scaffold to Study Protein-Protein Interactions at Single-Molecule Resolution

Biophysical journal, 2020-02, Vol.118 (3), p.187a-187a

2020

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Effects of Al 3+ on Phosphocholine and Phosphoglycerol Containing Solid Supported Lipid Bilayers

Langmuir, 2016-02, Vol.32 (7), p.1771-1781

2016

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Monitoring N3 Dye Adsorption and Desorption on TiO 2 Surfaces: A Combined QCM-D and XPS Study

ACS applied materials & interfaces, 2014-06, Vol.6 (12), p.9093-9099

2014

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RNA genome conservation and secondary structure in SARS-CoV-2 and SARS-related viruses: a first look

Transferable Neural Networks for Enhanced Sampling of Protein Dynamics

Combinatorial optimization of mRNA structure, stability, and translation for RNA-based therapeutics

Surface and Stability Characterization of a Nanoporous ZIF‑8 Thin Film

Predicting multiple conformations via sequence clustering and AlphaFold2

RNA secondary structure packages evaluated and improved by high-throughput experiments

Theoretical basis for stabilizing messenger RNA through secondary structure design

Note: Variational encoding of protein dynamics benefits from maximizing latent autocorrelation

A modular DNA scaffold to study protein-protein interactions at single-molecule resolution

Variational encoding of complex dynamics

Crowdsourced RNA design discovers diverse, reversible, efficient, self-contained molecular switches

Investigating the role of boundary bricks in DNA brick self-assembly

A Minimum Variance Clustering Approach Produces Robust and Interpretable Coarse-Grained Models

Deep learning models for predicting RNA degradation via dual crowdsourcing

Effects of Al(3+) on Phosphocholine and Phosphoglycerol Containing Solid Supported Lipid Bilayers

Effects of Al3+ on Phosphocholine and Phosphoglycerol Containing Solid Supported Lipid Bilayers

Monitoring N3 Dye Adsorption and Desorption on TiO2 Surfaces: A Combined QCM‑D and XPS Study

Learning RNA structure prediction from crowd-designed RNAs

Hierarchical Clustering of Markov State Models Reveals Sequence Effects in p53-CTD Dynamic Behavior

Correction to ‘Theoretical basis for stabilizing messenger RNA through secondary structure design’

A Modular DNA Scaffold to Study Protein-Protein Interactions at Single-Molecule Resolution

Effects of Al 3+ on Phosphocholine and Phosphoglycerol Containing Solid Supported Lipid Bilayers

Monitoring N3 Dye Adsorption and Desorption on TiO 2 Surfaces: A Combined QCM-D and XPS Study

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