AIMC Topic: DNA

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Developmental validation of PACE™: Automated artifact identification and contributor estimation for use with GlobalFiler™ and PowerPlex® fusion 6c generated data.

Forensic science international. Genetics Aug 8, 2019
DNA mixture interpretation remains one of the major challenges in forensic DNA analysis. DNA mixture samples are inherently complex due to several factors including the variations in the quantity of DNA, the presence of non-allelic artifactual peaks ...
Humans Machine Learning Algorithms Artifacts Polymerase Chain Reaction DNA Fingerprinting Models, Statistical DNA Alleles
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On using machine learning algorithms to define clinically meaningful patient subgroups.

Annals of the rheumatic diseases Jul 11, 2019
Humans Machine Learning Algorithms DNA
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Enabling full-length evolutionary profiles based deep convolutional neural network for predicting DNA-binding proteins from sequence.

Proteins Jul 8, 2019
Sequence based DNA-binding protein (DBP) prediction is a widely studied biological problem. Sliding windows on position specific substitution matrices (PSSMs) rows predict DNA-binding residues well on known DBPs but the same models cannot be applied ...
DNA Arabidopsis Proteins Amino Acids Arabidopsis DNA-Binding Proteins Neural Networks, Computer Models, Biological Animals Protein Conformation Mice Binding Sites Humans
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Deep learning-based selection of human sperm with high DNA integrity.

Communications biology Jul 3, 2019
Despite the importance of sperm DNA to human reproduction, currently no method exists to assess individual sperm DNA quality prior to clinical selection. Traditionally, skilled clinicians select sperm based on a variety of morphological and motility ...
Learning Curve Chromatin Bayes Theorem Semen Analysis DNA Fragmentation Male Humans Spermatozoa Deep Learning Neural Networks, Computer Healthy Volunteers DNA Normal Distribution
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On using machine learning algorithms to define clinically meaningful patient subgroups.

Annals of the rheumatic diseases Jun 21, 2019
Autoantibodies Humans Machine Learning DNA
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Modeling in-vivo protein-DNA binding by combining multiple-instance learning with a hybrid deep neural network.

Scientific reports Jun 11, 2019
Modeling in-vivo protein-DNA binding is not only fundamental for further understanding of the regulatory mechanisms, but also a challenging task in computational biology. Deep-learning based methods have succeed in modeling in-vivo protein-DNA bindin...
Models, Biological DNA DNA-Binding Proteins Humans Neural Networks, Computer Algorithms Deep Learning Protein Binding
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An Intelligent DNA Nanorobot with Enhanced Protein Lysosomal Degradation of HER2.

Nano letters Jun 5, 2019
DNA nanorobots have emerged as new tools for nanomedicine with the potential to ameliorate the delivery and anticancer efficacy of various drugs. DNA nanostructures have been considered one of the most promising nanocarriers. In the present study, we...
DNA Lysosomes Xenograft Model Antitumor Assays MCF-7 Cells Robotics Receptor, ErbB-2 Proteolysis Endocytosis Breast Neoplasms Drug Delivery Systems Animals Aptamers, Nucleotide Mice Mice, Nude Humans Female
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DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information.

Journal of computer-aided molecular design May 23, 2019
DNA-binding proteins (DBPs) participate in various biological processes including DNA replication, recombination, and repair. In the human genome, about 6-7% of these proteins are utilized for genes encoding. DBPs shape the DNA into a compact structu...
Animals Support Vector Machine Evolution, Molecular Databases, Protein DNA Binding Sites DNA-Binding Proteins Humans Position-Specific Scoring Matrices Machine Learning Algorithms
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DNAPred: Accurate Identification of DNA-Binding Sites from Protein Sequence by Ensembled Hyperplane-Distance-Based Support Vector Machines.

Journal of chemical information and modeling Apr 16, 2019
Accurate identification of protein-DNA binding sites is significant for both understanding protein function and drug design. Machine-learning-based methods have been extensively used for the prediction of protein-DNA binding sites. However, the data ...
Protein Conformation DNA Nucleic Acid Conformation Models, Molecular Support Vector Machine DNA-Binding Proteins
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Enzymatic Weight Update Algorithm for DNA-Based Molecular Learning.

Molecules (Basel, Switzerland) Apr 10, 2019
Recent research in DNA nanotechnology has demonstrated that biological substrates can be used for computing at a molecular level. However, in vitro demonstrations of DNA computations use preprogrammed, rule-based methods which lack the adaptability t...
Neural Networks, Computer Machine Learning Models, Molecular DNA Nucleic Acid Conformation
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