AIMC Topic: DNA
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Using machine learning to discover DNA metabolism biomarkers that direct prostate cancer treatment.
Scientific reports
Jul 18, 2025
DNA metabolism genes play pivotal roles in the regulation of cellular processes that contribute to cancer progression, immune modulation, and therapeutic response in prostate cancer (PC). Understanding the mechanisms by which these genes influence th...
Random access and semantic search in DNA data storage enabled by Cas9 and machine-guided design.
Nature communications
Jul 10, 2025
DNA is a promising medium for digital data storage due to its exceptional data density and longevity. Practical DNA-based storage systems require selective data retrieval to minimize decoding time and costs. In this work, we introduce CRISPR-Cas9 as ...
Deep learning deciphers the related role of master regulators and G-quadruplexes in tissue specification.
Scientific reports
Jul 2, 2025
G-quadruplexes (GQs) are non-canonical DNA structures encoded by G-flipons with potential roles in gene regulation and chromatin structure. Here, we explore the role of G-flipons in tissue specification. We present a deep learning-based framework for...
Predict the degree of secondary structures of the encoding sequences in DNA storage by deep learning model.
Scientific reports
Jul 1, 2025
DNA storage has been widely considered as a promising alternative for exponentially growing data. However, the inherent complex secondary structures severely compromise the processes of synthesis, PCR amplification, and sequencing, interfering with r...
Quantifying complexity in DNA structures with high resolution Atomic Force Microscopy.
Nature communications
Jul 1, 2025
DNA topology is essential for regulating cellular processes and maintaining genome stability, yet it is challenging to quantify due to the size and complexity of topologically constrained DNA molecules. By combining high-resolution Atomic Force Micro...
Data-driven protease engineering by DNA-recording and epistasis-aware machine learning.
Nature communications
Jul 1, 2025
Protein engineering has recently seen tremendous transformation due to machine learning (ML) tools that predict structure from sequence at unprecedented precision. Predicting catalytic activity, however, remains challenging, restricting our capabilit...
DNA-Mediated Bioinspired MXene Gas Sensor Array with Machine Learning for Noninvasive Cancer Recognition.
ACS nano
Jun 28, 2025
Noninvasive odor sensing is important in environmental monitoring and medical diagnosis. The two-dimensional material MXene is widely used due to its unique sensing properties but has limitations in specifically recognizing a certain gas. This study ...
Coordinated Residue Motions at the Enzyme-Substrate Interface Promote DNA Translocation in Polymerases.
Journal of the American Chemical Society
Jun 17, 2025
The translocation of DNA in polymerase (Pol) enzymes is a critical step for Pol-mediated nucleic acid polymerization, essential for storing and transmitting genetic information in all living organisms. During this process, the newly elongated double-...
Split DNA Tetrahedron-Mediated Spatiotemporal-Hierarchy CRISPR Cascade Integrated with Au@Pt Nanolabels and Artificial Intelligence for a Cervical Cancer MicroRNA Bioassay.
ACS nano
Jun 11, 2025
The screening and monitoring of microRNAs as cancer molecular biomarkers is clinically significant, but traditional methods lack sufficient sensitivity, accuracy, and convenience. The CRISPR-colorimetric lateral flow assay (CLFA) integration offers a...
Shining Light on DNA Mutations through Machine Learning-Augmented Vibrational Spectroscopy.
Analytical chemistry
Jun 4, 2025
A method to directly predict the number of nucleic acid bases in a single-stranded DNA (ssDNA) or a genomic DNA has been proposed with a combination of Raman spectroscopy and an Artificial Neural Network (ANN) algorithm. In this work, the algorithm w...
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