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Titlebook: RNA Nanostructures; Design, Characteriza Kirill A. Afonin Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive licens

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發(fā)表于 2025-3-23 09:52:20 | 只看該作者
th temperatures .. of 430°C (significantly lower critical .. than that reported for moderate-vacuum physical vapor deposition). This results in profound changes in the electronic properties of the interface as probed by synchrotron-radiation-excited 3. core electron photoemission. Even when there is
12#
發(fā)表于 2025-3-23 14:12:11 | 只看該作者
Metalated Nucleic Acid Nanostructurestion of metal ions into these structures introduces functionality for sensor and molecular electronic applications. Here, we describe a protocol for the incorporation of silver ions into polygonal nanoshapes that self-assemble from RNA and DNA modules.
13#
發(fā)表于 2025-3-23 20:40:18 | 只看該作者
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發(fā)表于 2025-3-24 00:08:45 | 只看該作者
Computer-Assisted Design and Characterization of RNA NanostructuresMolecular dynamics (MD) simulations can aid in the design and characterization of RNA nanomaterials, providing details about structural and dynamical properties as a function of sequence and environment. Here, we describe how to perform explicit and implicit solvent all-atom MD simulations for RNA nanoring systems.
15#
發(fā)表于 2025-3-24 02:41:34 | 只看該作者
Kirill A. AfoninIncludes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts
16#
發(fā)表于 2025-3-24 09:23:35 | 只看該作者
978-1-0716-3419-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines
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發(fā)表于 2025-3-24 11:57:03 | 只看該作者
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發(fā)表于 2025-3-24 17:26:01 | 只看該作者
Methods in Molecular Biologyhttp://image.papertrans.cn/r/image/820184.jpg
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發(fā)表于 2025-3-24 22:20:04 | 只看該作者
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發(fā)表于 2025-3-25 01:31:07 | 只看該作者
Combining Experimental Restraints and RNA 3D Structure Prediction in RNA Nanotechnologyture. In this chapter, we will introduce a platform, iFoldNMR, that can incorporate non-exchangeable imino protons resonance data from NMR as restraints for RNA 3D structure prediction. We also introduce an algorithm, DVASS, which optimizes distance restraints for better RNA 3D structure prediction.
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