AIMC Topic: DNA

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Nanoscale storage encryption: data storage in synthetic DNA using a cryptosystem with a neural network.

Science China. Life sciences Apr 13, 2022
Neural Networks, Computer DNA Information Storage and Retrieval
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DNA Input Classification by a Riboregulator-Based Cell-Free Perceptron.

ACS synthetic biology Apr 5, 2022
The ability to recognize molecular patterns is essential for the continued survival of biological organisms, allowing them to sense and respond to their immediate environment. The design of synthetic gene-based classifiers has been explored previousl...
Neural Networks, Computer Escherichia coli DNA
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DNA Privacy: Analyzing Malicious DNA Sequences Using Deep Neural Networks.

IEEE/ACM transactions on computational biology and bioinformatics Apr 1, 2022
Recent advances in next-generation sequencing technologies have led to the successful insertion of video information into DNA using synthesized oligonucleotides. Several attempts have been made to embed larger data into living organisms. This process...
Neural Networks, Computer Algorithms DNA Privacy Base Sequence
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DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins.

Computers in biology and medicine Mar 30, 2022
Accurate identification of DNA-binding proteins (DBPs) is critical for both understanding protein function and drug design. DBPs also play essential roles in different kinds of biological activities such as DNA replication, repair, transcription, and...
Neural Networks, Computer Deep Learning Computational Biology DNA DNA-Binding Proteins Position-Specific Scoring Matrices
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Predicting residues involved in anti-DNA autoantibodies with limited neural networks.

Medical & biological engineering & computing Mar 18, 2022
Computer-aided rational vaccine design (RVD) and synthetic pharmacology are rapidly developing fields that leverage existing datasets for developing compounds of interest. Computational proteomics utilizes algorithms and models to probe proteins for ...
Neural Networks, Computer Algorithms Proteins DNA Autoantibodies Binding Sites
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A sequence-based two-layer predictor for identifying enhancers and their strength through enhanced feature extraction.

Journal of bioinformatics and computational biology Mar 9, 2022
Enhancers are short regulatory DNA fragments that are bound with proteins called activators. They are free-bound and distant elements, which play a vital role in controlling gene expression. It is challenging to identify enhancers and their strength ...
Neural Networks, Computer Computational Biology Sequence Analysis, DNA DNA
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FusionAI, a DNA-sequence-based deep learning protocol reduces the false positives of human fusion gene prediction.

STAR protocols Feb 28, 2022
Even though there were many tool developments of fusion gene prediction from NGS data, too many false positives are still an issue. Wise use of the genomic features around the fusion gene breakpoints will be helpful to identify reliable fusion genes ...
Humans Deep Learning Genomics DNA Gene Fusion
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GC6mA-Pred: A deep learning approach to identify DNA N6-methyladenine sites in the rice genome.

Methods (San Diego, Calif.) Feb 9, 2022
MOTIVATION: DNA N6-methyladenine (6mA) is a pivotal DNA modification for various biological processes. More accurate prediction of 6mA methylation sites plays an irreplaceable part in grasping the internal rationale of related biological activities. ...
Deep Learning DNA Methylation DNA Oryza Adenine
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An Extensive Examination of Discovering 5-Methylcytosine Sites in Genome-Wide DNA Promoters Using Machine Learning Based Approaches.

IEEE/ACM transactions on computational biology and bioinformatics Feb 3, 2022
It is well-known that the major reason for the rapid proliferation of cancer cells are the hypomethylation of the whole cancer genome and the hypermethylation of the promoter of particular tumor suppressor genes. Locating 5-methylcytosine (5mC) sites...
Machine Learning DNA Methylation DNA Promoter Regions, Genetic 5-Methylcytosine
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Mouse4mC-BGRU: Deep learning for predicting DNA N4-methylcytosine sites in mouse genome.

Methods (San Diego, Calif.) Jan 31, 2022
DNA N4-methylcytosine (4mC) is an important DNA modification and plays a crucial role in a variety of biological processes. Accurate 4mC site identification is fundamental to improving the understanding of 4mC biological functions and mechanisms. How...
Machine Learning Animals Deep Learning Mice DNA Genome
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