AIMC Journal:
International journal of molecular sciences

Showing 281 to 290 of 423 articles

A Survey of Autoencoder Algorithms to Pave the Diagnosis of Rare Diseases.

International journal of molecular sciences Oct 8, 2021
Rare diseases (RDs) concern a broad range of disorders and can result from various origins. For a long time, the scientific community was unaware of RDs. Impressive progress has already been made for certain RDs; however, due to the lack of sufficien...
Humans Neural Networks, Computer Machine Learning Rare Diseases Algorithms Prognosis High-Throughput Nucleotide Sequencing
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Prediction Models for Agonists and Antagonists of Molecular Initiation Events for Toxicity Pathways Using an Improved Deep-Learning-Based Quantitative Structure-Activity Relationship System.

International journal of molecular sciences Oct 6, 2021
In silico approaches have been studied intensively to assess the toxicological risk of various chemical compounds as alternatives to traditional in vivo animal tests. Among these approaches, quantitative structure-activity relationship (QSAR) analysi...
Humans Algorithms Toxicity Tests Receptors, Cytoplasmic and Nuclear Models, Statistical Pharmaceutical Preparations Computer Simulation Quantitative Structure-Activity Relationship Deep Learning
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Integrating Statistical and Machine-Learning Approach for Meta-Analysis of Bisphenol A-Exposure Datasets Reveals Effects on Mouse Gene Expression within Pathways of Apoptosis and Cell Survival.

International journal of molecular sciences Oct 5, 2021
Bisphenols are important environmental pollutants that are extensively studied due to different detrimental effects, while the molecular mechanisms behind these effects are less well understood. Like other environmental pollutants, bisphenols are bei...
Liver Cell Survival Machine Learning Models, Statistical Biomarkers Datasets as Topic Gene Expression Profiling Animals Phenols Gene Expression Regulation Mice Male Meta-Analysis as Topic Air Pollutants, Occupational Apoptosis Benzhydryl Compounds
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Advances in for Abiotic Stress Resilience: From 'Omics' to Artificial Intelligence.

International journal of molecular sciences Sep 29, 2021
Legumes are a better source of proteins and are richer in diverse micronutrients over the nutritional profile of widely consumed cereals. However, when exposed to a diverse range of abiotic stresses, their overall productivity and quality are hugely ...
Genomics Fabaceae Crops, Agricultural Stress, Physiological Quantitative Trait Loci Plant Breeding Artificial Intelligence
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Hybrid Deep Learning Based on a Heterogeneous Network Profile for Functional Annotations of Genes.

International journal of molecular sciences Sep 16, 2021
Functional annotation of unknown function genes reveals unidentified functions that can enhance our understanding of complex genome communications. A common approach for inferring gene function involves the ortholog-based method. However, genetic dat...
Plasmodium falciparum Humans Protozoan Proteins Algorithms Deep Learning
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Comprehensive Survey of Recent Drug Discovery Using Deep Learning.

International journal of molecular sciences Sep 15, 2021
Drug discovery based on artificial intelligence has been in the spotlight recently as it significantly reduces the time and cost required for developing novel drugs. With the advancement of deep learning (DL) technology and the growth of drug-related...
Neural Networks, Computer Drug Development Animals Pharmaceutical Preparations Drug Design Humans Drug Discovery Deep Learning Surveys and Questionnaires
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Personalised Medicine for Colorectal Cancer Using Mechanism-Based Machine Learning Models.

International journal of molecular sciences Sep 15, 2021
Gaining insight into the mechanisms of signal transduction networks (STNs) by using critical features from patient-specific mathematical models can improve patient stratification and help to identify potential drug targets. To achieve this, these mod...
Linear Models Kaplan-Meier Estimate Wnt Signaling Pathway Colorectal Neoplasms Gene Expression Regulation, Neoplastic Proteomics Neoplasm Proteins Models, Biological Progression-Free Survival Humans Machine Learning Precision Medicine
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Machine Learning-Based Radiomics Signatures for EGFR and KRAS Mutations Prediction in Non-Small-Cell Lung Cancer.

International journal of molecular sciences Aug 26, 2021
Early identification of epidermal growth factor receptor (EGFR) and Kirsten rat sarcoma viral oncogene homolog (KRAS) mutations is crucial for selecting a therapeutic strategy for patients with non-small-cell lung cancer (NSCLC). We proposed a machin...
Neoplasm Staging Female Algorithms Mutation Humans Biomarkers Reproducibility of Results Supervised Machine Learning Tomography, X-Ray Computed Machine Learning Aged ROC Curve Aged, 80 and over Lung Neoplasms ErbB Receptors Male Carcinoma, Non-Small-Cell Lung Proto-Oncogene Proteins p21(ras) Middle Aged
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Deep Learning Based Prediction of Gas Chromatographic Retention Indices for a Wide Variety of Polar and Mid-Polar Liquid Stationary Phases.

International journal of molecular sciences Aug 25, 2021
Prediction of gas chromatographic retention indices based on compound structure is an important task for analytical chemistry. The predicted retention indices can be used as a reference in a mass spectrometry library search despite the fact that thei...
Chromatography, Gas Deep Learning
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SecProCT: In Silico Prediction of Human Secretory Proteins Based on Capsule Network and Transformer.

International journal of molecular sciences Aug 22, 2021
Identifying secretory proteins from blood, saliva or other body fluids has become an effective method of diagnosing diseases. Existing secretory protein prediction methods are mainly based on conventional machine learning algorithms and are highly de...
Proteins Humans Biomarkers, Tumor Computer Simulation Bodily Secretions Deep Learning
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