AIMC Topic: DNA

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Computational design of protein complexes: influence of binding affinity.

Chemical communications (Cambridge, England)
The interaction of proteins with diverse molecular partners, including other proteins, nucleic acids, and carbohydrates, is essential for performing various functions, from signal transduction and gene regulation to immune recognition and cellular tr...

Machine learning-powered single-molecule cancer diagnosis using DNA origami tags.

Science advances
Single-molecule detection (SMD) holds considerable promise in biomedical research. Although atomic force microscopy (AFM) provides an important technique with nanoscale resolution for SMD, its broader application is limited by labeling challenges and...

Neural Network Circuit for Operant Conditioning with Blocking and Overshadowing Effects Based on DNA Strand Displacement.

ACS synthetic biology
Operant conditioning reflects the ability of organisms to adapt and learn. By implementing operant conditioning neural networks, complex brain-like behaviors can be simulated and learned at the molecular level. In this paper, an operant conditioning ...

Deep convolutional and fully-connected DNA neural networks.

Nature communications
DNA molecules can be used to build "neural networks" that function like the brain, enabling them to perform complex computational tasks. However, a fundamental limitation of existing DNA networks is that their most basic computing units cannot perfor...

DNALONGBENCH: a benchmark suite for long-range DNA prediction tasks.

Nature communications
Modeling long-range DNA dependencies is crucial for understanding genome structure and function across diverse biological contexts. However, effectively capturing these dependencies, which may span millions of base pairs in tasks such as three-dimens...

A novel prediction method for protein-DNA binding sites based on protein language model fusion features with SE-connection pyramidal network and ensemble learning.

BMC genomics
Protein-DNA interactions are crucial in life processes such as gene expression and regulation. Therefore, the accurate prediction of DNA-binding sites on proteins is highly important for the advancement of scientific understanding in the field of bio...

Fine-tuning a sentence transformer for DNA.

BMC bioinformatics
BACKGROUND: Sentence-transformers is a library that provides easy methods for generating embeddings for sentences, paragraphs, and images. Sentiment analysis, retrieval, and clustering are among the applications made possible by the embedding of text...

Advancing DNA and RNA Modification Detection via Nanopore Sequencing.

ACS nano
DNA/RNA modifications are crucial for biological processes. To understand their regulatory mechanisms, precise mapping and quantification of these modifications are essential. Although next-generation sequencing can detect the location and stoichiome...

Spring-loaded DNA origami arrays as energy-supplied hardware for modular nanorobots.

Science robotics
DNA origami nanorobots allow for the rational design of nanomachines that respond to environmental stimuli with preprogrammed tasks. To date, this mostly is achieved by constructing two-state switches that, upon activation, change their conformation,...

Empowering low-crosstalk, dynamic-decision random access of DNA storage via 384-multiplexed nanopore signatures.

Nature communications
On-demand access to information encoded in nucleotides lies at the heart of DNA/RNA applications. However, contemporary methods for targeted retrieval using PCR amplification or bead-based extraction, rely on Watson-Crick base pairing and pre-defined...