AIMC Topic: DNA

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Toward three-dimensional DNA industrial nanorobots.

Science robotics Dec 6, 2023
Nanoscale industrial robots have potential as manufacturing platforms and are capable of automatically performing repetitive tasks to handle and produce nanomaterials with consistent precision and accuracy. We demonstrate a DNA industrial nanorobot t...
DNA Nanostructures Robotics
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Self-supervised Learning for DNA sequences with circular dilated convolutional networks.

Neural networks : the official journal of the International Neural Network Society Dec 2, 2023
DNA molecules commonly exhibit wide interactions between the nucleobases. Modeling the interactions is important for obtaining accurate sequence-based inference. Although many deep learning methods have recently been developed for modeling DNA sequen...
DNA Supervised Machine Learning Neural Networks, Computer Base Sequence Humans
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Benchmarking of deep neural networks for predicting personal gene expression from DNA sequence highlights shortcomings.

Nature genetics Nov 30, 2023
Deep learning methods have recently become the state of the art in a variety of regulatory genomic tasks, including the prediction of gene expression from genomic DNA. As such, these methods promise to serve as important tools in interpreting the ful...
Benchmarking Gene Expression Base Sequence Humans Neural Networks, Computer DNA
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Neural network execution using nicked DNA and microfluidics.

PloS one Oct 19, 2023
DNA has been discussed as a potential medium for data storage. Potentially it could be denser, could consume less energy, and could be more durable than conventional storage media such as hard drives, solid-state storage, and optical media. However, ...
Lab-On-A-Chip Devices Microphysiological Systems Neural Networks, Computer DNA Microfluidics
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Deep-LASI: deep-learning assisted, single-molecule imaging analysis of multi-color DNA origami structures.

Nature communications Oct 17, 2023
Single-molecule experiments have changed the way we explore the physical world, yet data analysis remains time-consuming and prone to human bias. Here, we introduce Deep-LASI (Deep-Learning Assisted Single-molecule Imaging analysis), a software suite...
Microscopy Fluorescence Resonance Energy Transfer DNA Single Molecule Imaging Protein Conformation Deep Learning Humans
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Improving Enhancer Identification with a Multi-Classifier Stacked Ensemble Model.

Journal of molecular biology Oct 16, 2023
Enhancers are DNA regions that are responsible for controlling the expression of genes. Enhancers are usually found upstream or downstream of a gene, or even inside a gene's intron region, but are normally located at a distant location from the genes...
Enhancer Elements, Genetic Sequence Analysis, DNA DNA Transcription Factors Computational Biology Machine Learning
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KDeep: a new memory-efficient data extraction method for accurately predicting DNA/RNA transcription factor binding sites.

Journal of translational medicine Oct 16, 2023
This paper addresses the crucial task of identifying DNA/RNA binding sites, which has implications in drug/vaccine design, protein engineering, and cancer research. Existing methods utilize complex neural network structures, diverse input types, and ...
Transcription Factors Neural Networks, Computer DNA Protein Binding Binding Sites
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A Machine-Learning-Based Approach to Prediction of Biogeographic Ancestry within Europe.

International journal of molecular sciences Oct 11, 2023
Data obtained with the use of massive parallel sequencing (MPS) can be valuable in population genetics studies. In particular, such data harbor the potential for distinguishing samples from different populations, especially from those coming from adj...
Genetics, Population Humans DNA Machine Learning Europe Support Vector Machine
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Deep learning-assisted high-content screening identifies isoliquiritigenin as an inhibitor of DNA double-strand breaks for preventing doxorubicin-induced cardiotoxicity.

Biology direct Oct 9, 2023
BACKGROUND: Anthracyclines including doxorubicin are essential components of many cancer chemotherapy regimens, but their cardiotoxicity severely limits their use. New strategies for treating anthracycline-induced cardiotoxicity (AIC) are still neede...
Artificial Intelligence Animals Cardiotoxicity Antibiotics, Antineoplastic Anthracyclines DNA Deep Learning Doxorubicin
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Limit and screen sequences with high degree of secondary structures in DNA storage by deep learning method.

Computers in biology and medicine Oct 2, 2023
BACKGROUND: In single-stranded DNAs/RNAs, secondary structures are very common especially in long sequences. It has been recognized that the high degree of secondary structures in DNA sequences could interfere with the correct writing and reading of ...
DNA Nucleic Acid Conformation Deep Learning
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