AI Medical Compendium Journal:
International journal of molecular sciences

Showing 111 to 120 of 423 articles

Integrated Assays of Genome-Wide Association Study, Multi-Omics Co-Localization, and Machine Learning Associated Calcium Signaling Genes with Oilseed Rape Resistance to .

International journal of molecular sciences Jun 25, 2024
(Ss) is one of the most devastating fungal pathogens, causing huge yield loss in multiple economically important crops including oilseed rape. Plant resistance to Ss pertains to quantitative disease resistance (QDR) controlled by multiple minor gene...
Calcium Signaling Plant Diseases Genomics Disease Resistance Machine Learning Ascomycota Genome-Wide Association Study Polymorphism, Single Nucleotide Quantitative Trait Loci Multiomics Brassica napus
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TriplEP-CPP: Algorithm for Predicting the Properties of Peptide Sequences.

International journal of molecular sciences Jun 22, 2024
Advancements in medicine and pharmacology have led to the development of systems that deliver biologically active molecules inside cells, increasing drug concentrations at target sites. This improves effectiveness and duration of action and reduces s...
Machine Learning Algorithms Animals Humans Wasp Venoms Proteome Amino Acid Sequence Cell-Penetrating Peptides
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Machine Learning-Based Etiologic Subtyping of Ischemic Stroke Using Circulating Exosomal microRNAs.

International journal of molecular sciences Jun 20, 2024
Ischemic stroke is a major cause of mortality worldwide. Proper etiological subtyping of ischemic stroke is crucial for tailoring treatment strategies. This study explored the utility of circulating microRNAs encapsulated in extracellular vesicles (E...
Gene Expression Profiling Extracellular Vesicles Computational Biology MicroRNAs Exosomes Aged Ischemic Stroke High-Throughput Nucleotide Sequencing Male Biomarkers Middle Aged Female Circulating MicroRNA Humans Machine Learning
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Composite Graph Neural Networks for Molecular Property Prediction.

International journal of molecular sciences Jun 14, 2024
Graph Neural Networks have proven to be very valuable models for the solution of a wide variety of problems on molecular graphs, as well as in many other research fields involving graph-structured data. Molecules are heterogeneous graphs composed of ...
Neural Networks, Computer Algorithms
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A Study on the Robustness and Stability of Explainable Deep Learning in an Imbalanced Setting: The Exploration of the Conformational Space of G Protein-Coupled Receptors.

International journal of molecular sciences Jun 14, 2024
G-protein coupled receptors (GPCRs) are transmembrane proteins that transmit signals from the extracellular environment to the inside of the cells. Their ability to adopt various conformational states, which influence their function, makes them cruci...
Humans Deep Learning Receptors, G-Protein-Coupled Molecular Dynamics Simulation Protein Conformation Receptors, Adrenergic, beta-2
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A Machine Learning Approach to Identify Key Residues Involved in Protein-Protein Interactions Exemplified with SARS-CoV-2 Variants.

International journal of molecular sciences Jun 13, 2024
Human infection with the coronavirus disease 2019 (COVID-19) is mediated by the binding of the spike protein of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to the human angiotensin-converting enzyme 2 (ACE2). The frequent mutatio...
Protein Interaction Domains and Motifs Spike Glycoprotein, Coronavirus Mutation Molecular Dynamics Simulation Angiotensin-Converting Enzyme 2 Binding Sites COVID-19 SARS-CoV-2 Protein Binding Humans Machine Learning
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Imaging Flow Cytometry and Convolutional Neural Network-Based Classification Enable Discrimination of Hematopoietic and Leukemic Stem Cells in Acute Myeloid Leukemia.

International journal of molecular sciences Jun 12, 2024
Acute myeloid leukemia (AML) is a heterogenous blood cancer with a dismal prognosis. It emanates from leukemic stem cells (LSCs) arising from the genetic transformation of hematopoietic stem cells (HSCs). LSCs hold prognostic value, but their molecul...
Neural Networks, Computer Female Leukemia, Myeloid, Acute Humans Neoplastic Stem Cells Flow Cytometry Immunophenotyping Male Middle Aged Image Processing, Computer-Assisted Hematopoietic Stem Cells
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Support Vector Machine-Based Formula for Detecting Suspected α Thalassemia Carriers: A Path toward Universal Screening.

International journal of molecular sciences Jun 11, 2024
The blood counts of α thalassemia carriers (α-thal) are similar to those of β thalassemia carriers, except for Hemoglobin A (Hb A), which is not elevated. The objective of this study was to determine whether mathematical formulas are effective for de...
Erythrocyte Indices beta-Thalassemia alpha-Thalassemia Heterozygote Genetic Carrier Screening Female Male Support Vector Machine Humans
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A Systematic Review of Genetics- and Molecular-Pathway-Based Machine Learning Models for Neurological Disorder Diagnosis.

International journal of molecular sciences Jun 11, 2024
The process of identification and management of neurological disorder conditions faces challenges, prompting the investigation of novel methods in order to improve diagnostic accuracy. In this study, we conducted a systematic literature review to ide...
Machine Learning Nervous System Diseases Humans
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Enhancing Machine-Learning Prediction of Enzyme Catalytic Temperature Optima through Amino Acid Conservation Analysis.

International journal of molecular sciences Jun 6, 2024
Enzymes play a crucial role in various industrial production and pharmaceutical developments, serving as catalysts for numerous biochemical reactions. Determining the optimal catalytic temperature () of enzymes is crucial for optimizing reaction cond...
Machine Learning Algorithms Temperature Enzyme Stability Conserved Sequence Phosphoric Monoester Hydrolases Catalysis Amino Acids Amino Acid Sequence
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