AIMC Topic: DNA

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Non-destructive assessment of tissue engineered cartilage maturity using visible and near infrared spectroscopy combined with machine learning.

Biosensors & bioelectronics
Tissue engineering is a promising approach to address the unmet clinical need for treating cartilage damage. Monitoring the characteristics of tissue-engineered cartilage constructs (TECs) during culture is critical for optimizing culture conditions ...

Multiple-input and multiple-output encoders with DNA-based winner-take-all neural Networks.

Neural networks : the official journal of the International Neural Network Society
DNA logic circuits are essential building blocks for molecular computers. Traditional molecular logic circuits primarily use basic gate circuits as computational units, achieving complex functions via multiple cascades. However, even simple logical f...

DNA-based prediction of eye color in Latin American population applying Machine Learning models.

Computers in biology and medicine
Reduction in the costs of DNA sequencing and genotyping allows for the increased availability of databases which can be useful for analyzing the relationship between the human genetic code and visible characteristics, diseases, and behaviors, among o...

Computer vision techniques for high-speed atomic force microscopy of DNA molecules.

Nanotechnology
High-speed atomic force microscopy (HSAFM) can produce thousands of topographic, nanoscale images over a small area. One emerging application of this technique is the detection and sizing of single DNA molecules derived from biological experiments an...

Dual-Branch Contrastive Network with Deep Separable Convolution for Enhanced 6mA Site Identification.

Journal of chemical information and modeling
DNA N6-methyladenine (6mA) is a pivotal DNA modification integral to various biological processes, yet its exact regulatory role in eukaryotes is still unclear and controversial due to its sparsity, limitations in detection technologies, and complex ...

Characterizing DNA Origami Nanostructures in TEM Images Using Convolutional Neural Networks.

Journal of chemical information and modeling
Artificial intelligence (AI) models remain an emerging strategy to accelerate materials design and development. We demonstrate that CNN models can characterize DNA origami nanostructures employed in programmable self-assembly, which is important in m...

Predicting rare DNA conformations via dynamical graphical models: a case study of the B→A transition.

Nucleic acids research
DNA exhibits local conformational preferences that affect its ability to adopt biologically relevant conformations, such as those required for binding proteins. Traditional methods, like Markov state models and molecular dynamics (MD) simulations, ha...

CGeNArateWeb: a web server for the atomistic study of the structure and dynamics of chromatin fibers.

Nucleic acids research
We present CGeNArateWeb, a new web tool for the three-dimensional simulation of naked DNA and protein-bound chromatin fibers. The server allows the user to obtain a dynamic representation of long segments of linear, circular, or protein-DNA segments ...

A Novel Linear Machine Learning Method Based on DNA Hybridization Reaction Circuit.

IEEE transactions on nanobioscience
DNA hybridization reaction is a significant technology in the field of semi-synthetic biology and holds great potential for use in biological computation. In this study, we propose a novel machine learning model based on a DNA hybridization reaction ...

DNA-CBIR: DNA Translation Inspired Codon Pattern-Based Deep Image Feature Extraction for Content-Based Image Retrieval.

IEEE transactions on nanobioscience
DNA is emerging as a promising medium for storing huge volumes of data in a confined space that remains intact for thousands of years. Although this technique is very efficient, especially for multimedia data like images, there is a lack of efficient...