AIMC Topic: DNA

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DeepDISE: DNA Binding Site Prediction Using a Deep Learning Method.

International journal of molecular sciences May 24, 2021
It is essential for future research to develop a new, reliable prediction method of DNA binding sites because DNA binding sites on DNA-binding proteins provide critical clues about protein function and drug discovery. However, the current prediction ...
Software Animals Deep Learning Humans DNA-Binding Proteins Protein Conformation Binding Sites Computational Biology Proteome DNA
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Detecting protein and DNA/RNA structures in cryo-EM maps of intermediate resolution using deep learning.

Nature communications Apr 16, 2021
An increasing number of density maps of macromolecular structures, including proteins and DNA/RNA complexes, have been determined by cryo-electron microscopy (cryo-EM). Although lately maps at a near-atomic resolution are routinely reported, there ar...
Software Deep Learning Cryoelectron Microscopy Protein Structure, Secondary Models, Molecular RNA Nucleic Acid Conformation Computational Biology DNA
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High-throughput label-free detection of DNA-to-RNA transcription inhibition using brightfield microscopy and deep neural networks.

Computers in biology and medicine Apr 4, 2021
Drug discovery is in constant evolution and major advances have led to the development of in vitro high-throughput technologies, facilitating the rapid assessment of cellular phenotypes. One such phenotype is immunogenic cell death, which occurs part...
Neural Networks, Computer Image Processing, Computer-Assisted DNA RNA Microscopy Cell Nucleus
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Evaluation of supervised machine-learning methods for predicting appearance traits from DNA.

Forensic science international. Genetics Mar 23, 2021
The prediction of human externally visible characteristics (EVCs) based solely on DNA information has become an established approach in forensic and anthropological genetics in recent years. While for a large set of EVCs, predictive models have alrea...
Hair Color Eye Color Skin Pigmentation Forensic Genetics Phenotype Polymorphism, Single Nucleotide Logistic Models DNA Genetic Markers Datasets as Topic Humans Machine Learning Algorithms
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SeqEnhDL: sequence-based classification of cell type-specific enhancers using deep learning models.

BMC research notes Mar 19, 2021
OBJECTIVE: To address the challenge of computational identification of cell type-specific regulatory elements on a genome-wide scale.
Neural Networks, Computer Enhancer Elements, Genetic Deep Learning Sequence Analysis, DNA DNA
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Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species.

PLoS computational biology Feb 18, 2021
N6-methyladenine (6mA) is an important DNA modification form associated with a wide range of biological processes. Identifying accurately 6mA sites on a genomic scale is crucial for under-standing of 6mA's biological functions. However, the existing ...
DNA, Plant Arabidopsis Neural Networks, Computer Deep Learning Species Specificity DNA Computational Biology Oryza Adenine Fragaria DNA Methylation Base Sequence Rosa Binding Sites Databases, Nucleic Acid
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Discovering and Visualizing Disease-Specific Electrocardiogram Features Using Deep Learning: Proof-of-Concept in Phospholamban Gene Mutation Carriers.

Circulation. Arrhythmia and electrophysiology Jan 5, 2021
BACKGROUND: ECG interpretation requires expertise and is mostly based on physician recognition of specific patterns, which may be challenging in rare cardiac diseases. Deep neural networks (DNNs) can discover complex features in ECGs and may facilita...
Mutation Humans Heart Diseases Deep Learning Adult Calcium-Binding Proteins DNA Mutational Analysis Electrocardiography Retrospective Studies Male DNA Female
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Progress in Nanorobotics for Advancing Biomedicine.

IEEE transactions on bio-medical engineering Dec 21, 2020
Nanorobotics, which has long been a fantasy in the realm of science fiction, is now a reality due to the considerable developments in diverse fields including chemistry, materials, physics, information and nanotechnology in the past decades. Not only...
Forecasting Robotics DNA Nanotechnology
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Predicting the DNA Conductance Using a Deep Feedforward Neural Network Model.

Journal of chemical information and modeling Dec 15, 2020
Double-stranded DNA (dsDNA) has been established as an efficient medium for charge migration, bringing it to the forefront of the field of molecular electronics and biological research. The charge migration rate is controlled by the electronic coupli...
Neural Networks, Computer DNA Machine Learning Electronics Base Pairing
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A machine learning toolkit for genetic engineering attribution to facilitate biosecurity.

Nature communications Dec 8, 2020
The promise of biotechnology is tempered by its potential for accidental or deliberate misuse. Reliably identifying telltale signatures characteristic to different genetic designers, termed 'genetic engineering attribution', would deter misuse, yet i...
Neural Networks, Computer Data Analysis Databases, Factual DNA Bioterrorism Security Measures Datasets as Topic Forensic Genetics Genetic Engineering Biotechnology
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