AIMC Topic: DNA

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Enhancing the Predictive Power of Machine Learning Models through a Chemical Space Complementary DEL Screening Strategy.

Journal of medicinal chemistry Oct 23, 2024
DNA-encoded library (DEL) technology is an effective method for small molecule drug discovery, enabling high-throughput screening against target proteins. While DEL screening produces extensive data, it can reveal complex patterns not easily recogniz...
Bromodomain Containing Proteins Small Molecule Libraries E1A-Associated p300 Protein Transcription Factors DNA High-Throughput Screening Assays Cell Cycle Proteins Humans Machine Learning Drug Discovery
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Artificial Intelligence-Enhanced Analysis of Genomic DNA Visualized with Nanoparticle-Tagged Peptides under Electron Microscopy.

Small (Weinheim an der Bergstrasse, Germany) Oct 9, 2024
DNA visualization has advanced across multiple microscopy platforms, albeit with limited progress in the identification of novel staining agents for electron microscopy (EM), notwithstanding its ability to furnish a broad magnification range and high...
Artificial Intelligence Peptides Metal Nanoparticles Gold Microscopy, Electron DNA
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Machine learning based predictive analysis of DNA cleavage induced by diverse nanomaterials.

Scientific reports Sep 20, 2024
DNA cleavage by nanomaterials has the potential to be utilized as an innovative tool for gene editing. Numerous nanomaterials exhibiting DNA cleavage properties have been identified and cataloged. Yet, the exploitation of property data through data-d...
Support Vector Machine DNA Nanostructures Machine Learning DNA Cleavage Neural Networks, Computer Algorithms
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Predicting DNA Reactions with a Quantum Chemistry-Based Deep Learning Model.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Sep 19, 2024
In this study, a deep learning model based on quantum chemistry is introduced to enhance the accuracy and efficiency of predicting DNA reaction parameters. By integrating quantum chemical calculations with self-designed descriptor matrices, the model...
Deep Learning DNA Quantum Theory
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Developing a Machine Learning 'Smart' Polymerase Chain Reaction Thermocycler Part 2: Putting the Theoretical Framework into Practice.

Genes Sep 12, 2024
The introduction of PCR into forensic science and the rapid increases in the sensitivity, specificity and discrimination power of DNA profiling that followed have been fundamental in shaping the field of forensic biology. Despite these developments, ...
DNA Forensic Genetics Humans Polymerase Chain Reaction DNA Fingerprinting Machine Learning
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DeepDBS: Identification of DNA-binding sites in protein sequences by using deep representations and random forest.

Methods (San Diego, Calif.) Sep 11, 2024
Interactions of biological molecules in organisms are considered to be primary factors for the lifecycle of that organism. Various important biological functions are dependent on such interactions and among different kinds of interactions, the protei...
Binding Sites Sequence Analysis, Protein DNA-Binding Proteins Amino Acid Sequence Computational Biology Databases, Protein DNA Random Forest Deep Learning Protein Binding Neural Networks, Computer Algorithms
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Rewireable Building Blocks for Enzyme-Powered DNA Computing Networks.

Journal of the American Chemical Society Sep 10, 2024
Neural networks enable the processing of large, complex data sets with applications in disease diagnosis, cell profiling, and drug discovery. Beyond electronic computers, neural networks have been implemented using programmable biomolecules such as D...
Neurons DNA, Single-Stranded Neural Networks, Computer DNA Computers, Molecular
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Deciphering the Language of Protein-DNA Interactions: A Deep Learning Approach Combining Contextual Embeddings and Multi-Scale Sequence Modeling.

Journal of molecular biology Aug 29, 2024
Deciphering the mechanisms governing protein-DNA interactions is crucial for understanding key cellular processes and disease pathways. In this work, we present a powerful deep learning approach that significantly advances the computational predictio...
DNA DNA-Binding Proteins Protein Binding Neural Networks, Computer Binding Sites Deep Learning Computational Biology
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Quantum mechanical electronic and geometric parameters for DNA k-mers as features for machine learning.

Scientific data Aug 22, 2024
We are witnessing a steep increase in model development initiatives in genomics that employ high-end machine learning methodologies. Of particular interest are models that predict certain genomic characteristics based solely on DNA sequence. These mo...
DNA Quantum Theory Machine Learning
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A novel deep learning identifier for promoters and their strength using heterogeneous features.

Methods (San Diego, Calif.) Aug 19, 2024
Promoters, which are short (50-1500 base-pair) in DNA regions, have emerged to play a critical role in the regulation of gene transcription. Numerous dangerous diseases, likewise cancer, cardiovascular, and inflammatory bowel diseases, are caused by ...
Humans Neural Networks, Computer DNA Deep Learning Promoter Regions, Genetic Computational Biology
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