AIMC Topic: Nucleic Acids

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Biomolecular Actuators for Soft Robots.

Chemical reviews May 28, 2025
Biomolecules present promising stimuli-responsive mechanisms to revolutionize soft actuators. Proteins, peptides, and nucleic acids foster specific intermolecular interactions, and their boundless sequence design spaces encode precise actuation capab...
Robotics Biocompatible Materials Nucleic Acids Peptides Proteins
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Machine-Learning Framework to Predict the Performance of Lipid Nanoparticles for Nucleic Acid Delivery.

ACS applied bio materials May 19, 2025
Lipid nanoparticles (LNPs) are highly effective carriers for gene therapies, including mRNA and siRNA delivery, due to their ability to transport nucleic acids across biological membranes, low cytotoxicity, improved pharmacokinetics, and scalability....
Nucleic Acids Cell Survival Quantitative Structure-Activity Relationship Particle Size Biocompatible Materials Machine Learning Lipids Surface Properties Nanoparticles Materials Testing Humans
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[Intelligent design of nucleic acid elements in biomanufacturing].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology Mar 25, 2025
Nucleic acid elements are essential functional sequences that play critical roles in regulating gene expression, optimizing pathways, and enabling gene editing to enhance the production of target products in biomanufacturing. Therefore, the design an...
Artificial Intelligence Algorithms Gene Editing Promoter Regions, Genetic Synthetic Biology Nucleic Acids Terminator Regions, Genetic
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NucleoFind: a deep-learning network for interpreting nucleic acid electron density.

Nucleic acids research Sep 23, 2024
Nucleic acid electron density interpretation after phasing by molecular replacement or other methods remains a difficult problem for computer programs to deal with. Programs tend to rely on time-consuming and computationally exhaustive searches to re...
Crystallography, X-Ray Nucleic Acid Conformation Deep Learning Models, Molecular Electrons Nucleic Acids Software
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Programmable biology through artificial intelligence: from nucleic acids to proteins to cells.

Nature methods Aug 1, 2024
Nucleic Acids Artificial Intelligence Proteins Humans
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RmsdXNA: RMSD prediction of nucleic acid-ligand docking poses using machine-learning method.

Briefings in bioinformatics Mar 27, 2024
Small molecule drugs can be used to target nucleic acids (NA) to regulate biological processes. Computational modeling methods, such as molecular docking or scoring functions, are commonly employed to facilitate drug design. However, the accuracy of ...
Machine Learning Molecular Docking Simulation Molecular Dynamics Simulation Ligands Nucleic Acids
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EquiPNAS: improved protein-nucleic acid binding site prediction using protein-language-model-informed equivariant deep graph neural networks.

Nucleic acids research Mar 21, 2024
Protein language models (pLMs) trained on a large corpus of protein sequences have shown unprecedented scalability and broad generalizability in a wide range of predictive modeling tasks, but their power has not yet been harnessed for predicting prot...
Amino Acid Sequence Neural Networks, Computer Nucleic Acids Binding Sites Proteins
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Protein-protein and protein-nucleic acid binding site prediction via interpretable hierarchical geometric deep learning.

GigaScience Jan 2, 2024
Identification of protein-protein and protein-nucleic acid binding sites provides insights into biological processes related to protein functions and technical guidance for disease diagnosis and drug design. However, accurate predictions by computati...
Binding Sites Computational Biology Humans Nucleic Acids Protein Binding SARS-CoV-2 Spike Glycoprotein, Coronavirus Deep Learning Neural Networks, Computer COVID-19
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GeoBind: segmentation of nucleic acid binding interface on protein surface with geometric deep learning.

Nucleic acids research Jun 9, 2023
Unveiling the nucleic acid binding sites of a protein helps reveal its regulatory functions in vivo. Current methods encode protein sites from the handcrafted features of their local neighbors and recognize them via a classification, which are limite...
Binding Sites Membrane Proteins Nucleic Acids Algorithms Deep Learning
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Computational Methods and Deep Learning for Elucidating Protein Interaction Networks.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2023
Protein interactions play a critical role in all biological processes, but experimental identification of protein interactions is a time- and resource-intensive process. The advances in next-generation sequencing and multi-omics technologies have gre...
Proteins Protein Interaction Maps Nucleic Acids Computational Biology Machine Learning Deep Learning
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