AIMC Journal:
International journal of molecular sciences

Showing 321 to 330 of 423 articles

Predicting Proteolysis in Complex Proteomes Using Deep Learning.

International journal of molecular sciences Mar 17, 2021
Both protease- and reactive oxygen species (ROS)-mediated proteolysis are thought to be key effectors of tissue remodeling. We have previously shown that comparison of amino acid composition can predict the differential susceptibilities of proteins t...
Ultraviolet Rays Proteolysis Peptide Hydrolases Extracellular Matrix Proteins Humans Proteome Reactive Oxygen Species Amino Acids Neural Networks, Computer Software Reproducibility of Results Deep Learning
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Incorporating Machine Learning into Established Bioinformatics Frameworks.

International journal of molecular sciences Mar 12, 2021
The exponential growth of biomedical data in recent years has urged the application of numerous machine learning techniques to address emerging problems in biology and clinical research. By enabling the automatic feature extraction, selection, and ge...
Databases, Factual Computational Biology Systems Biology Humans Machine Learning Algorithms
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Machine Learning and Novel Biomarkers for the Diagnosis of Alzheimer's Disease.

International journal of molecular sciences Mar 9, 2021
BACKGROUND: Alzheimer's disease (AD) is a complex and severe neurodegenerative disease that still lacks effective methods of diagnosis. The current diagnostic methods of AD rely on cognitive tests, imaging techniques and cerebrospinal fluid (CSF) lev...
Humans Chromatography, High Pressure Liquid Alzheimer Disease Aged Machine Learning Biomarkers Middle Aged Female Diagnosis, Computer-Assisted
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PredNTS: Improved and Robust Prediction of Nitrotyrosine Sites by Integrating Multiple Sequence Features.

International journal of molecular sciences Mar 8, 2021
Nitrotyrosine, which is generated by numerous reactive nitrogen species, is a type of protein post-translational modification. Identification of site-specific nitration modification on tyrosine is a prerequisite to understanding the molecular functio...
Protein Processing, Post-Translational Proteins Tyrosine Sequence Analysis, Protein Machine Learning Computational Biology Support Vector Machine
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Advances in de Novo Drug Design: From Conventional to Machine Learning Methods.

International journal of molecular sciences Feb 7, 2021
. De novo drug design is a computational approach that generates novel molecular structures from atomic building blocks with no a priori relationships. Conventional methods include structure-based and ligand-based design, which depend on the properti...
Pharmaceutical Preparations Machine Learning Animals Drug Design Humans Neural Networks, Computer
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Predicting Potential SARS-COV-2 Drugs-In Depth Drug Database Screening Using Deep Neural Network Framework SSnet, Classical Virtual Screening and Docking.

International journal of molecular sciences Feb 4, 2021
Severe Acute Respiratory Syndrome Corona Virus 2 has altered life on a global scale. A concerted effort from research labs around the world resulted in the identification of potential pharmaceutical treatments for CoVID-19 using existing drugs, as we...
COVID-19 Drug Treatment Angiotensin-Converting Enzyme 2 Databases, Pharmaceutical Spike Glycoprotein, Coronavirus Drug Repositioning Drug Evaluation, Preclinical Machine Learning COVID-19 Algorithms Drug Discovery Antiviral Agents SARS-CoV-2 Molecular Docking Simulation Humans Neural Networks, Computer
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SSnet: A Deep Learning Approach for Protein-Ligand Interaction Prediction.

International journal of molecular sciences Jan 30, 2021
Computational prediction of Protein-Ligand Interaction (PLI) is an important step in the modern drug discovery pipeline as it mitigates the cost, time, and resources required to screen novel therapeutics. Deep Neural Networks (DNN) have recently show...
Ligands Deep Learning Humans Caenorhabditis elegans Datasets as Topic Protein Binding Animals Protein Structure, Secondary Protein Domains Binding Sites Drug Discovery
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Towards a Precision Medicine Approach Based on Machine Learning for Tailoring Medical Treatment in Alkaptonuria.

International journal of molecular sciences Jan 26, 2021
ApreciseKUre is a multi-purpose digital platform facilitating data collection, integration and analysis for patients affected by Alkaptonuria (AKU), an ultra-rare autosomal recessive genetic disease. It includes genetic, biochemical, histopathologica...
Quality of Life Humans Models, Theoretical Machine Learning Disease Management Disease Susceptibility Algorithms Alkaptonuria Databases, Factual Precision Medicine
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Machine Learning Analysis of Longevity-Associated Gene Expression Landscapes in Mammals.

International journal of molecular sciences Jan 22, 2021
One of the important questions in aging research is how differences in transcriptomics are associated with the longevity of various species. Unfortunately, at the level of individual genes, the links between expression in different organs and maximum...
Liver Regression Analysis Bayes Theorem Linear Models Tissue Distribution Gene Expression Mammals RNA-Seq Computational Biology Models, Genetic Longevity Aging Machine Learning Humans Brain Gene Expression Profiling Algorithms Animals Transcriptome
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Prediction of Protein-ATP Binding Residues Based on Ensemble of Deep Convolutional Neural Networks and LightGBM Algorithm.

International journal of molecular sciences Jan 19, 2021
Accurately identifying protein-ATP binding residues is important for protein function annotation and drug design. Previous studies have used classic machine-learning algorithms like support vector machine (SVM) and random forest to predict protein-AT...
Support Vector Machine Carrier Proteins Machine Learning Humans Proteins Protein Binding Algorithms Amino Acid Sequence Neural Networks, Computer Computational Biology Adenosine Triphosphate
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