AIMC Topic: Protein Array Analysis

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Artificial Intelligence-Based Prediction of Covid-19 Severity on the Results of Protein Profiling.

Computer methods and programs in biomedicine Feb 15, 2021
BACKGROUND: COVID-19 progresses slowly and negatively affects many people. However, mild to moderate symptoms develop in most infected people, who recover without hospitalization. Therefore, the development of early diagnosis and treatment strategies...
Humans Artificial Intelligence COVID-19 Forecasting Male Middle Aged Deep Learning Protein Array Analysis Female SARS-CoV-2 Aged
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Predicting Deep Learning Based Multi-Omics Parallel Integration Survival Subtypes in Lung Cancer Using Reverse Phase Protein Array Data.

Biomolecules Oct 19, 2020
Mortality attributed to lung cancer accounts for a large fraction of cancer deaths worldwide. With increasing mortality figures, the accurate prediction of prognosis has become essential. In recent years, multi-omics analysis has emerged as a useful ...
Humans Machine Learning Carcinoma, Non-Small-Cell Lung DNA Methylation Disease-Free Survival Deep Learning Protein Array Analysis Prognosis Genomics Proteomics Female Models, Theoretical Male
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Unbiased Characterization of Peptide-HLA Class II Interactions Based on Large-Scale Peptide Microarrays; Assessment of the Impact on HLA Class II Ligand and Epitope Prediction.

Frontiers in immunology Aug 5, 2020
Human Leukocyte Antigen class II (HLA-II) molecules present peptides to T lymphocytes and play an important role in adaptive immune responses. Characterizing the binding specificity of single HLA-II molecules has profound impacts for understanding ce...
HLA Antigens Ligands High-Throughput Screening Assays Protein Array Analysis Epitopes, T-Lymphocyte Protein Binding Databases, Protein Antigen Presentation CD4 Antigens Binding Sites Protein Interaction Domains and Motifs Histocompatibility Antigens Class II Humans Machine Learning
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Identification of Catecholamine Neurotransmitters Using a Fluorescent Electronic Tongue.

ACS chemical neuroscience Dec 19, 2019
Catecholamine neurotransmitters, specifically, dopamine (DA), epinephrine (EP), and norepinephrine (NE), are known as substantial indicators of various neurological diseases. Developing rapid detection methods capable of simultaneously screening thei...
Surface Plasmon Resonance Fluorescence Resonance Energy Transfer Epinephrine Dopamine Protein Array Analysis Humans Neural Networks, Computer Norepinephrine
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Machine Learning on Signal-to-Noise Ratios Improves Peptide Array Design in SAMDI Mass Spectrometry.

Analytical chemistry Aug 7, 2017
Emerging peptide array technologies are able to profile molecular activities within cell lysates. However, the structural diversity of peptides leads to inherent differences in peptide signal-to-noise ratios (S/N). These complex effects can lead to p...
Machine Learning Peptides Signal-To-Noise Ratio Mass Spectrometry Protein Array Analysis Amino Acids Amino Acid Sequence
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Bioinformatics approach reveals systematic mechanism underlying lung adenocarcinoma.

Tumori May 21, 2015
BACKGROUND: The purpose of this work was to explore the systematic molecular mechanism of lung adenocarcinoma and gain a deeper insight into it.
Protein Array Analysis Adenocarcinoma Gene Ontology Gene Expression Regulation, Neoplastic Collagen Type X Software Adenocarcinoma of Lung Calcium Membrane Proteins Humans Receptor Cross-Talk Gene Expression Profiling Peroxisome Proliferator-Activated Receptors Lung Neoplasms Signal Transduction Computational Biology
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Disentangling multidimensional spatio-temporal data into their common and aberrant responses.

PloS one Apr 22, 2015
With the advent of high-throughput measurement techniques, scientists and engineers are starting to grapple with massive data sets and encountering challenges with how to organize, process and extract information into meaningful structures. Multidime...
Principal Component Analysis Mutation Proto-Oncogene Proteins c-akt Humans Protein Array Analysis Female Biomarkers, Tumor Neural Networks, Computer Quinazolines Algorithms Breast Neoplasms Gene Regulatory Networks Lapatinib Gene Expression Regulation, Neoplastic
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Data Analysis for Antibody Arrays.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
When obtaining high-throughput data from antibody arrays, researchers have to face a couple of questions: How and by what means can they get reasonable results significant to their research from these data? Similar to a gene microarray, the classical...
Data Interpretation, Statistical Immunoassay Protein Array Analysis Machine Learning Animals Humans
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Study on the Simultaneously Quantitative Detection for β-Lactoglobulin and Lactoferrin of Cow Milk by Using Protein Chip Technique.

Biomedical and environmental sciences : BES Dec 1, 2017
OBJECTIVE: To research a protein chip method which can simultaneously quantitative detect β-Lactoglobulin (β-L) and Lactoferrin (Lf) at one time.
Lactoglobulins Protein Array Analysis Antibodies, Monoclonal Animals Lactoferrin Cattle Milk Enzyme-Linked Immunosorbent Assay
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DNA sequence+shape kernel enables alignment-free modeling of transcription factor binding.

Bioinformatics (Oxford, England) Oct 1, 2017
MOTIVATION: Transcription factors (TFs) bind to specific DNA sequence motifs. Several lines of evidence suggest that TF-DNA binding is mediated in part by properties of the local DNA shape: the width of the minor groove, the relative orientations of ...
Protein Array Analysis Binding Sites Nucleotide Motifs Genomics Transcription Factors Support Vector Machine Sequence Analysis, DNA Software DNA-Binding Proteins DNA Protein Binding Nucleic Acid Conformation
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