AIMC Topic: Nucleic Acids

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Ultrasensitive Nucleic Acid Testing: From Foundational Research to Clinical Translation.

ACS nano
The ability to detect nucleic acids at ever-lower detection limits is crucial in molecular science, enabling disease management to shift from reactive response to proactive prediction and personalized medicine. This review synthesizes the technologic...

Precision in Predicting Protein-Nucleic Acid Complexes: Establishing a Benchmark Data Set and Comparative Metrics.

Journal of chemical information and modeling
Protein-nucleic acid interactions are fundamental to biological processes and biotechnology, yet their computational prediction lags behind protein structure or protein-protein interaction modeling. This study introduces ProNASet, a benchmark data se...

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

Journal of physics. Condensed matter : an Institute of Physics journal
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...

CRISPR/Cas-Based Biosensing Strategies for Non-Nucleic Acid Contaminants in Food Safety: Status, Challenges, and Perspectives.

Journal of agricultural and food chemistry
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 acid spheres for treating capillarisation of liver sinusoidal endothelial cells in liver fibrosis.

Nature communications
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...

Advances in artificial intelligence-envisioned technologies for protein and nucleic acid research.

Drug discovery today
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...

Deciphering Protein Secondary Structures and Nucleic Acids in Cryo-EM Maps Using Deep Learning.

Journal of chemical information and modeling
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...

Machine Learning-Assisted, Dual-Channel CRISPR/Cas12a Biosensor-In-Microdroplet for Amplification-Free Nucleic Acid Detection for Food Authenticity Testing.

ACS nano
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...

AI-empowered visualization of nucleic acid testing.

Life sciences
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...

SOFB is a comprehensive ensemble deep learning approach for elucidating and characterizing protein-nucleic-acid-binding residues.

Communications biology
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...