AIMC Topic: Nucleic Acids

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Applications of enhanced sampling methods to biomolecular self-assembly: a review.

Journal of physics. Condensed matter : an Institute of Physics journal Jul 23, 2025
This review article discusses some common enhanced sampling methods in relation to the process of self-assembly of biomolecules. An introduction to self-assembly and its challenges is covered followed by a brief overview of the methods and analysis f...
Polymers Molecular Dynamics Simulation Nucleic Acids Peptides Proteins Machine Learning
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CRISPR/Cas-Based Biosensing Strategies for Non-Nucleic Acid Contaminants in Food Safety: Status, Challenges, and Perspectives.

Journal of agricultural and food chemistry Jul 9, 2025
Non-nucleic acid targets (non-NATs), such as heavy metals, toxins, and pesticide residues, pose critical threats to food safety. Although CRISPR/Cas systems were initially developed for nucleic acid detection, recent advances have enabled their adapt...
Nucleic Acids Food Safety Metals, Heavy Food Contamination CRISPR-Cas Systems Biosensing Techniques
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Nucleic acid spheres for treating capillarisation of liver sinusoidal endothelial cells in liver fibrosis.

Nature communications May 15, 2025
Liver sinusoidal endothelial cells (LSECs) lose their characteristic fenestrations and become capillarized during the progression of liver fibrosis. Mesenchymal stem cell (MSC) transplantation can reverse this capillarization and reduce fibrosis, but...
Male Mice Nanoparticles Humans Animals Mesenchymal Stem Cells Nucleic Acids Mesenchymal Stem Cell Transplantation Endothelial Cells Mice, Inbred C57BL Liver Cirrhosis Liver Disease Models, Animal MicroRNAs
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Advances in artificial intelligence-envisioned technologies for protein and nucleic acid research.

Drug discovery today Apr 17, 2025
Artificial intelligence (AI) and machine learning (ML) have revolutionized pharmaceutical research, particularly in protein and nucleic acid studies. This review summarizes the current status of AI and ML applications in the pharmaceutical sector, fo...
Drug Development Proteins Nucleic Acids Animals Drug Discovery Humans Machine Learning Precision Medicine Artificial Intelligence
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Deciphering Protein Secondary Structures and Nucleic Acids in Cryo-EM Maps Using Deep Learning.

Journal of chemical information and modeling Jan 21, 2025
With the resolution revolution of cryo-electron microscopy (cryo-EM) and the rapid development of image processing technology, cryo-EM has become an indispensable experimental method for determining the three-dimensional structures of biological macr...
Protein Structure, Secondary Models, Molecular Nucleic Acids Cryoelectron Microscopy Deep Learning Proteins
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Machine Learning-Assisted, Dual-Channel CRISPR/Cas12a Biosensor-In-Microdroplet for Amplification-Free Nucleic Acid Detection for Food Authenticity Testing.

ACS nano Dec 2, 2024
The development of novel detection technology for meat species authenticity is imperative. Here, we developed a machine learning-supported, dual-channel biosensor-in-microdroplet platform for meat species authenticity detection named CC-drop (RISPR/C...
CRISPR-Cas Systems Bacterial Proteins CRISPR-Associated Proteins Nucleic Acids Endodeoxyribonucleases Food Analysis Meat Biosensing Techniques Machine Learning Animals
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AI-empowered visualization of nucleic acid testing.

Life sciences Oct 31, 2024
AIMS: The visualization of nucleic acid testing (NAT) results plays a critical role in diagnosing and monitoring infectious and genetic diseases. The review aims to review the current status of AI-based NAT result visualization. It systematically int...
Humans Artificial Intelligence Nucleic Acid Amplification Techniques Nucleic Acids Algorithms
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SOFB is a comprehensive ensemble deep learning approach for elucidating and characterizing protein-nucleic-acid-binding residues.

Communications biology Jun 3, 2024
Proteins and nucleic-acids are essential components of living organisms that interact in critical cellular processes. Accurate prediction of nucleic acid-binding residues in proteins can contribute to a better understanding of protein function. Howev...
Proteins Nucleic Acids Binding Sites Protein Binding Deep Learning Computational Biology
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Accurate structure prediction of biomolecular interactions with AlphaFold 3.

Nature May 8, 2024
The introduction of AlphaFold 2 has spurred a revolution in modelling the structure of proteins and their interactions, enabling a huge range of applications in protein modelling and design. Here we describe our AlphaFold 3 model with a substantially...
Models, Molecular Humans Antibodies Software Ions Protein Binding Molecular Docking Simulation Protein Conformation Reproducibility of Results Proteins Ligands Deep Learning Antigens Nucleic Acids
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DeePNAP: A Deep Learning Method to Predict Protein-Nucleic Acid Binding Affinity from Their Sequences.

Journal of chemical information and modeling Mar 8, 2024
Predicting the protein-nucleic acid (PNA) binding affinity solely from their sequences is of paramount importance for the experimental design and analysis of PNA interactions (PNAIs). A large number of currently developed models for binding affinity ...
Deep Learning Mutation Proteins Nucleic Acids Protein Binding
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