AIMC Journal:
International journal of molecular sciences

Showing 351 to 360 of 423 articles

Detection of Rare Objects by Flow Cytometry: Imaging, Cell Sorting, and Deep Learning Approaches.

International journal of molecular sciences Mar 27, 2020
Flow cytometry nowadays is among the main working instruments in modern biology paving the way for clinics to provide early, quick, and reliable diagnostics of many blood-related diseases. The major problem for clinical applications is the detection ...
Fluorescent Dyes Flow Cytometry Diagnostic Tests, Routine Staining and Labeling Diagnostic Imaging Neoplastic Cells, Circulating Cell Separation Rare Diseases Cell Tracking Blood Circulation Automation Hematologic Diseases Humans Magnetics Deep Learning
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An Intelligent Optimization Algorithm for Constructing a DNA Storage Code: NOL-HHO.

International journal of molecular sciences Mar 22, 2020
The high density, large capacity, and long-term stability of DNA molecules make them an emerging storage medium that is especially suitable for the long-term storage of large datasets. The DNA sequences used in storage need to consider relevant const...
Artificial Intelligence Databases, Nucleic Acid Base Composition Algorithms DNA
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Computational Models Using Multiple Machine Learning Algorithms for Predicting Drug Hepatotoxicity with the DILIrank Dataset.

International journal of molecular sciences Mar 19, 2020
Drug-induced liver injury (DILI) remains one of the challenges in the safety profile of both authorized and candidate drugs, and predicting hepatotoxicity from the chemical structure of a substance remains a task worth pursuing. Such an approach is c...
Models, Theoretical Drug-Related Side Effects and Adverse Reactions Quantitative Structure-Activity Relationship Chemical and Drug Induced Liver Injury Databases, Factual Humans Computer Simulation Machine Learning Prognosis Algorithms
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Discovery of Small-Molecule Activators for Glucose-6-Phosphate Dehydrogenase (G6PD) Using Machine Learning Approaches.

International journal of molecular sciences Feb 23, 2020
Glucose-6-Phosphate Dehydrogenase (G6PD) is a ubiquitous cytoplasmic enzyme converting glucose-6-phosphate into 6-phosphogluconate in the pentose phosphate pathway (PPP). The G6PD deficiency renders the inability to regenerate glutathione due to lack...
Catalytic Domain Glutathione X-Ray Diffraction Oxidation-Reduction NADP Protein Interaction Domains and Motifs Machine Learning Glucosephosphate Dehydrogenase Deficiency Pentose Phosphate Pathway Glucosephosphate Dehydrogenase Animals Drug Evaluation, Preclinical Molecular Docking Simulation Humans Drug Discovery Oxidative Stress
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Untargeted Metabolomics for Metabolic Diagnostic Screening with Automated Data Interpretation Using a Knowledge-Based Algorithm.

International journal of molecular sciences Feb 1, 2020
Untargeted metabolomics may become a standard approach to address diagnostic requests, but, at present, data interpretation is very labor-intensive. To facilitate its implementation in metabolic diagnostic screening, we developed a method for automat...
Case-Control Studies Mass Screening Metabolome Humans Algorithms Biomarkers Metabolism, Inborn Errors Data Interpretation, Statistical Tandem Mass Spectrometry Knowledge Bases
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Precision Psychiatry Applications with Pharmacogenomics: Artificial Intelligence and Machine Learning Approaches.

International journal of molecular sciences Feb 1, 2020
A growing body of evidence now suggests that precision psychiatry, an interdisciplinary field of psychiatry, precision medicine, and pharmacogenomics, serves as an indispensable foundation of medical practices by offering the accurate medication with...
Humans Neural Networks, Computer Artificial Intelligence Precision Medicine Machine Learning Pharmacogenetics Algorithms Interdisciplinary Studies Mental Disorders
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Prediction of Protein-Protein Interaction Sites Using Convolutional Neural Network and Improved Data Sets.

International journal of molecular sciences Jan 11, 2020
Protein-protein interaction (PPI) sites play a key role in the formation of protein complexes, which is the basis of a variety of biological processes. Experimental methods to solve PPI sites are expensive and time-consuming, which has led to the dev...
Neural Networks, Computer Reproducibility of Results Animals Binding Sites Protein Interaction Mapping Protein Binding Datasets as Topic Humans
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Current Projection Methods-Induced Biases at Subgroup Detection for Machine-Learning Based Data-Analysis of Biomedical Data.

International journal of molecular sciences Dec 20, 2019
Advances in flow cytometry enable the acquisition of large and high-dimensional data sets per patient. Novel computational techniques allow the visualization of structures in these data and, finally, the identification of relevant subgroups. Correct ...
Datasets as Topic Stochastic Processes Computational Biology Humans Antigens, CD Machine Learning Flow Cytometry Algorithms
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iQSP: A Sequence-Based Tool for the Prediction and Analysis of Quorum Sensing Peptides via Chou's 5-Steps Rule and Informative Physicochemical Properties.

International journal of molecular sciences Dec 20, 2019
Understanding of quorum-sensing peptides (QSPs) in their functional mechanism plays an essential role in finding new opportunities to combat bacterial infections by designing drugs. With the avalanche of the newly available peptide sequences in the p...
Quorum Sensing Machine Learning Models, Molecular Bacteria Amino Acid Sequence Peptides Support Vector Machine Bacterial Physiological Phenomena Drug Discovery
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A Deep Learning Model for Cell Growth Inhibition IC50 Prediction and Its Application for Gastric Cancer Patients.

International journal of molecular sciences Dec 12, 2019
Heterogeneity in intratumoral cancers leads to discrepancies in drug responsiveness, due to diverse genomics profiles. Thus, prediction of drug responsiveness is critical in precision medicine. So far, in drug responsiveness prediction, drugs' molecu...
Humans Models, Biological Neural Networks, Computer Inhibitory Concentration 50 Antineoplastic Agents Artificial Intelligence Computational Biology Deep Learning Stomach Neoplasms Dose-Response Relationship, Drug Cell Line, Tumor Drug Discovery Cell Survival ROC Curve
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