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Protein Interaction Maps

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Target Identification Using Homopharma and Network-Based Methods for Predicting Compounds Against Dengue Virus-Infected Cells.

Molecules (Basel, Switzerland) Apr 18, 2020
Drug target prediction is an important method for drug discovery and design, can disclose the potential inhibitory effect of active compounds, and is particularly relevant to many diseases that have the potential to kill, such as dengue, but lack any...
Dengue Virus Host-Pathogen Interactions Virus Replication Protein Interaction Mapping Protein Interaction Maps Computational Biology Lipids Dengue Humans Neural Networks, Computer Drug Discovery Antiviral Agents
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Identification of herbal categories active in pain disorder subtypes by machine learning help reveal novel molecular mechanisms of algesia.

Pharmacological research Apr 8, 2020
Chronic pain is highly prevalent and poorly controlled, of which the accurate underlying mechanisms need be further elucidated. Herbal drugs have been widely used for controlling various pain disorders. The systematic integration of pain herbal data ...
Protein Interaction Maps Systems Biology Signal Transduction Structure-Activity Relationship Humans Machine Learning Pain Threshold Molecular Structure Databases, Factual Systems Integration Analgesics Animals Chronic Pain Molecular Targeted Therapy Pharmacopoeias as Topic Plant Preparations
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Machine learning prediction of oncology drug targets based on protein and network properties.

BMC bioinformatics Mar 14, 2020
BACKGROUND: The selection and prioritization of drug targets is a central problem in drug discovery. Computational approaches can leverage the growing number of large-scale human genomics and proteomics data to make in-silico target identification, r...
Humans Machine Learning Protein Interaction Maps Computer Simulation Genomics Drug Discovery Proteins Antineoplastic Agents Area Under Curve
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Classification models for Invasive Ductal Carcinoma Progression, based on gene expression data-trained supervised machine learning.

Scientific reports Mar 5, 2020
Early detection of breast cancer and its correct stage determination are important for prognosis and rendering appropriate personalized clinical treatment to breast cancer patients. However, despite considerable efforts and progress, there is a need ...
Carcinoma, Ductal, Breast Humans Neoplasm Staging Microarray Analysis Machine Learning RNA-Seq Gene Ontology Algorithms Models, Biological Databases, Genetic RNA, Neoplasm Female Supervised Machine Learning Reproducibility of Results Early Detection of Cancer Datasets as Topic Breast Neoplasms Transcriptome Protein Interaction Maps
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Genome-wide inference of the Camponotus floridanus protein-protein interaction network using homologous mapping and interacting domain profile pairs.

Scientific reports Feb 11, 2020
Apart from some model organisms, the interactome of most organisms is largely unidentified. High-throughput experimental techniques to determine protein-protein interactions (PPIs) are resource intensive and highly susceptible to noise. Computational...
Proteome Insect Proteins Ants Molecular Sequence Annotation Animals Protein Interaction Maps Gene Regulatory Networks Gene Ontology Protein Interaction Domains and Motifs Genome, Insect
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Combined Use of Three Machine Learning Modeling Methods to Develop a Ten-Gene Signature for the Diagnosis of Ventilator-Associated Pneumonia.

Medical science monitor : international medical journal of experimental and clinical research Feb 7, 2020
BACKGROUND This study aimed to use three modeling methods, logistic regression analysis, random forest analysis, and fully-connected neural network analysis, to develop a diagnostic gene signature for the diagnosis of ventilator-associated pneumonia ...
Protein Interaction Maps Databases, Genetic Humans Area Under Curve Machine Learning Gene Expression Regulation Genome, Human Algorithms Gene Expression Profiling Molecular Sequence Annotation Gene Ontology Pneumonia, Ventilator-Associated
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Using Weighted Extreme Learning Machine Combined With Scale-Invariant Feature Transform to Predict Protein-Protein Interactions From Protein Evolutionary Information.

IEEE/ACM transactions on computational biology and bioinformatics Jan 10, 2020
Protein-Protein Interactions (PPIs) play an irreplaceable role in biological activities of organisms. Although many high-throughput methods are used to identify PPIs from different kinds of organisms, they have some shortcomings, such as high cost an...
Databases, Protein Helicobacter pylori Amino Acid Sequence Protein Interaction Mapping Saccharomyces cerevisiae Proteins Protein Interaction Maps Sequence Analysis, Protein Humans Computational Biology Machine Learning Evolution, Molecular Animals Proteins
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Seeking for potential pathogenic genes of major depressive disorder in the Gene Expression Omnibus database.

Asia-Pacific psychiatry : official journal of the Pacific Rim College of Psychiatrists Dec 30, 2019
INTRODUCTION: Major depressive disorder (MDD) is one of the most common mental disorders worldwide. The aim of this study was to identify potential pathological genes in MDD.
Reverse Transcriptase Polymerase Chain Reaction Gene Expression Protein Interaction Maps Aged Humans Gene Ontology Male Computational Biology Female Middle Aged Databases, Genetic Reproducibility of Results Depressive Disorder, Major
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Identification of infectious disease-associated host genes using machine learning techniques.

BMC bioinformatics Dec 27, 2019
BACKGROUND: With the global spread of multidrug resistance in pathogenic microbes, infectious diseases emerge as a key public health concern of the recent time. Identification of host genes associated with infectious diseases will improve our underst...
Amino Acids Gene Ontology Machine Learning Communicable Diseases Humans Protein Interaction Maps Neural Networks, Computer
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Identification of self-interacting proteins by integrating random projection classifier and finite impulse response filter.

BMC genomics Dec 27, 2019
BACKGROUND: Identification of protein-protein interactions (PPIs) is crucial for understanding biological processes and investigating the cellular functions of genes. Self-interacting proteins (SIPs) are those in which more than two identical protein...
Humans ROC Curve Protein Interaction Maps Principal Component Analysis Support Vector Machine Area Under Curve Proteins Saccharomyces cerevisiae Databases, Protein Saccharomyces cerevisiae Proteins
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