AIMC Topic: Signal Transduction

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Exploration of the mechanism of traditional Chinese medicine by AI approach using unsupervised machine learning for cellular functional similarity of compounds in heterogeneous networks, XiaoErFuPi granules as an example.

Pharmacological research Jul 17, 2020
'Polypharmacology' is usually used to describe the network-wide effect of a single compound, but traditional Chinese medicine (TCM) has a polypharmacological effect naturally based on the 'multi-components, multi-targets and multi-pathways' principle...
Duodenum Proteomics Proteome Signal Transduction Transcriptome Protein Interaction Maps Gene Regulatory Networks Systems Biology Humans Structure-Activity Relationship Medicine, Chinese Traditional Animals Molecular Structure Rats, Sprague-Dawley Male Drugs, Chinese Herbal Cluster Analysis Gene Expression Profiling Polypharmacology Unsupervised Machine Learning Dyspepsia
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Ab initio GO-based mining for non-tandem-duplicated functional clusters in three model plant diploid genomes.

PloS one Jun 19, 2020
A functional Non-Tandem Duplicated Cluster (FNTDC) is a group of non-tandem-duplicated genes that are located closer than expected by mere chance and have a role in the same biological function. The identification of secondary-compounds-related FNTDC...
Signal Transduction Databases, Genetic Oryza Vitis Multigene Family Plant Proteins Gene Duplication Gene Ontology Genome, Plant Arabidopsis Diploidy
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Exploring the mechanism of TCM formulae in the treatment of different types of coronary heart disease by network pharmacology and machining learning.

Pharmacological research Jun 18, 2020
Traditional Chinese medicine (TCM) has long been used in the clinical treatment of coronary heart disease (CHD). TCM is characterized by syndrome-based medication, which is, using different TCM formulae for different syndromes. However, the underlyin...
Coronary Disease Cardiovascular Agents Medicine, Chinese Traditional Cluster Analysis Databases, Protein Drugs, Chinese Herbal Humans Machine Learning Protein Interaction Maps Signal Transduction Treatment Outcome
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Insight into potent leads for alzheimer's disease by using several artificial intelligence algorithms.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie Jun 16, 2020
Several proteins including S-nitrosoglutathione reductase (GSNOR), complement Factor D, complement 3b (C3b) and Protein Kinase R-like Endoplasmic Reticulum Kinase (PERK), have been demonstrated to be involved in pathogenesis pathways for Alzheimer's ...
Humans Artificial Intelligence Drug Design Drug Discovery Plant Extracts Cognition Brain Animals Molecular Docking Simulation Computer-Aided Design Molecular Targeted Therapy Quantitative Structure-Activity Relationship Nootropic Agents Signal Transduction Molecular Structure Molecular Dynamics Simulation Alzheimer Disease
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Identification of feature risk pathways of smoking-induced lung cancer based on SVM.

PloS one Jun 4, 2020
OBJECTIVE: The present study aims to explore the role of smoking factors in the risk of lung cancer and screen the feature risk pathways of smoking-induced lung cancer.
Area Under Curve High-Throughput Nucleotide Sequencing Humans Smoking DNA, Neoplasm Signal Transduction Risk Factors Gene Ontology Support Vector Machine Gene Expression Profiling Protein Interaction Mapping Databases, Genetic ROC Curve Cluster Analysis Lung Neoplasms
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Using Reactome to build an autophagy mechanism knowledgebase.

Autophagy Jun 2, 2020
The 21st century has revealed much about the fundamental cellular process of autophagy. Autophagy controls the catabolism and recycling of various cellular components both as a constitutive process and as a response to stress and foreign material inv...
Signal Transduction Autophagy Knowledge Bases Gene Ontology Software
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Beyond the limitation of targeted therapy: Improve the application of targeted drugs combining genomic data with machine learning.

Pharmacological research May 28, 2020
Precision oncology involves effectively selecting drugs for cancer patients and planning an effective treatment regimen. However, for Molecular targeted drug, using genomic state of the drug target to select drugs has limitations. Many patients who c...
Models, Statistical Drug Screening Assays, Antitumor Molecular Targeted Therapy Genomics Gene Expression Regulation, Neoplastic Decision Support Techniques Signal Transduction Precision Medicine Databases, Genetic Clinical Decision-Making Neoplasms Biomarkers, Tumor Humans Antineoplastic Agents Machine Learning Pharmacogenetics Cell Line, Tumor
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Evidence that the Kennedy and polyamine pathways are dysregulated in human brain in cases of dementia with Lewy bodies.

Brain research May 22, 2020
Disruptions of brain metabolism are considered integral to the pathogenesis of dementia, but thus far little is known of how dementia with Lewy bodies (DLB) impacts the brain metabolome. DLB is less well known than other neurodegenerative diseases su...
Humans Brain Deep Learning Signal Transduction Metabolomics Lewy Body Disease
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The emerging roles of artificial intelligence in cancer drug development and precision therapy.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie May 20, 2020
Artificial intelligence (AI) has strong logical reasoning ability and independent learning ability, which can simulate the thinking process of the human brain. AI technologies such as machine learning can profoundly optimize the existing mode of anti...
Immunotherapy Antigens, Neoplasm Signal Transduction Drug Development Clinical Decision-Making Humans Radiotherapy, Computer-Assisted Animals Drug Resistance, Neoplasm Artificial Intelligence Neoplasms Molecular Targeted Therapy Precision Medicine Antineoplastic Agents
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GPS-PBS: A Deep Learning Framework to Predict Phosphorylation Sites that Specifically Interact with Phosphoprotein-Binding Domains.

Cells May 20, 2020
Protein phosphorylation is essential for regulating cellular activities by modifying substrates at specific residues, which frequently interact with proteins containing phosphoprotein-binding domains (PPBDs) to propagate the phosphorylation signaling...
Phosphoproteins Statistics as Topic Binding Sites Signal Transduction Databases, Protein Humans Phosphorylation Algorithms Protein Domains Animals Deep Learning Protein Binding Proteome
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