AIMC Topic: Proteome
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Noninvasive diagnostic of periprosthetic joint infection by urinary peptide markers: A preliminary study.
Journal of orthopaedic research : official publication of the Orthopaedic Research Society
Nov 25, 2020
Previous immunohistochemical analyses revealed altered protein expression in the periprosthetic membranes of patients with periprosthetic joint infection (PJI). Proteins are degraded to peptides that may pass the blood-kidney barrier depending on the...
An artificial intelligence model based on the proteomic profile of euploid embryos and blastocyst morphology: a preliminary study.
Reproductive biomedicine online
Oct 8, 2020
RESEARCH QUESTION: The study aimed to develop an artificial intelligence model based on artificial neural networks (ANNs) to predict the likelihood of achieving a live birth using the proteomic profile of spent culture media and blastocyst morphology...
MSpectraAI: a powerful platform for deciphering proteome profiling of multi-tumor mass spectrometry data by using deep neural networks.
BMC bioinformatics
Oct 7, 2020
BACKGROUND: Mass spectrometry (MS) has become a promising analytical technique to acquire proteomics information for the characterization of biological samples. Nevertheless, most studies focus on the final proteins identified through a suite of algo...
HybridSucc: A Hybrid-learning Architecture for General and Species-specific Succinylation Site Prediction.
Genomics, proteomics & bioinformatics
Aug 28, 2020
As an important protein acylation modification, lysine succinylation (Ksucc) is involved in diverse biological processes, and participates in human tumorigenesis. Here, we collected 26,243 non-redundant known Ksucc sites from 13 species as the benchm...
A machine learning-based chemoproteomic approach to identify drug targets and binding sites in complex proteomes.
Nature communications
Aug 21, 2020
Chemoproteomics is a key technology to characterize the mode of action of drugs, as it directly identifies the protein targets of bioactive compounds and aids in the development of optimized small-molecule compounds. Current approaches cannot identif...
A Deep Learning-Based Tumor Classifier Directly Using MS Raw Data.
Proteomics
Jul 26, 2020
Since the launch of Chinese Human Proteome Project (CNHPP) and Clinical Proteomic Tumor Analysis Consortium (CPTAC), large-scale mass spectrometry (MS) based proteomic profiling of different kinds of human tumor samples have provided huge amount of v...
Repurpose Open Data to Discover Therapeutics for COVID-19 Using Deep Learning.
Journal of proteome research
Jul 24, 2020
There have been more than 2.2 million confirmed cases and over 120 000 deaths from the human coronavirus disease 2019 (COVID-19) pandemic, caused by the novel severe acute respiratory syndrome coronavirus (SARS-CoV-2), in the United States alone. How...
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...
Polypharmacology
Dyspepsia
Humans
Animals
Male
Signal Transduction
Medicine, Chinese Traditional
Rats, Sprague-Dawley
Cluster Analysis
Unsupervised Machine Learning
Structure-Activity Relationship
Molecular Structure
Drugs, Chinese Herbal
Systems Biology
Duodenum
Gene Expression Profiling
Proteomics
Transcriptome
Proteome
Protein Interaction Maps
Gene Regulatory Networks
The proteome landscape of the kingdoms of life.
Nature
Jun 17, 2020
Proteins carry out the vast majority of functions in all biological domains, but for technological reasons their large-scale investigation has lagged behind the study of genomes. Since the first essentially complete eukaryotic proteome was reported, ...
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...
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