Overview of methods for characterization and visualization of a protein–protein interaction network in a multi-omics integration context
V Robin, A Bodein, MP Scott-Boyer… - Frontiers in Molecular …, 2022 - frontiersin.org
At the heart of the cellular machinery through the regulation of cellular functions, protein–
protein interactions (PPIs) have a significant role. PPIs can be analyzed with network …
protein interactions (PPIs) have a significant role. PPIs can be analyzed with network …
Text mining for modeling of protein complexes enhanced by machine learning
Motivation Procedures for structural modeling of protein–protein complexes (protein
docking) produce a number of models which need to be further analyzed and scored …
docking) produce a number of models which need to be further analyzed and scored …
Attention Retrieval Model for Entity Relation Extraction From Biological Literature
Natural Language Processing (NLP) has contributed to extracting relationships among
biological entities, such as genes, their mutations, proteins, diseases, processes …
biological entities, such as genes, their mutations, proteins, diseases, processes …
KinderMiner Web: a simple web tool for ranking pairwise associations in biomedical applications
Many important scientific discoveries require lengthy experimental processes of trial and
error and could benefit from intelligent prioritization based on deep domain understanding …
error and could benefit from intelligent prioritization based on deep domain understanding …
Integrating text mining into the curation of disease maps
M Voskamp, L Vinhoven, F Stanke, S Hafkemeyer… - Biomolecules, 2022 - mdpi.com
An adequate visualization form is required to gain an overview and ultimately understand
the complex and diverse biological mechanisms of diseases. Recently, disease maps have …
the complex and diverse biological mechanisms of diseases. Recently, disease maps have …
Text Mining and Machine Learning Protocol for Extracting Human-Related Protein Phosphorylation Information from PubMed
K Arumugam, RR Shanker - Biomedical Text Mining, 2022 - Springer
In the modern health care research, protein phosphorylation has gained an enormous
attention from the researchers across the globe and requires automated approaches to …
attention from the researchers across the globe and requires automated approaches to …
KinderMiner Web: a simple web tool for ranking pairwise associations in biomedical applications
Many important scientific discoveries require lengthy experimental processes of trial and
error and could benefit from intelligent prioritization based on deep domain understanding …
error and could benefit from intelligent prioritization based on deep domain understanding …
Kritické porovnání vybraných databází protein-proteinových interakcí
A Tranová - 2024 - dspace.cuni.cz
Tato práce zkoumá rozdíly a tok dat mezi jedenácti databázemi protein-proteinov˝ ch
interakcí (PPI). eöí nedostatek pov domí uûivatel o nezávislosti databází a metodách …
interakcí (PPI). eöí nedostatek pov domí uûivatel o nezávislosti databází a metodách …
[PDF][PDF] KinderMiner Web: a simple web tool for ranking pairwis e associations in biomedical applications [version 1; peer
Many important scientific discoveries require lengthy experimental processes of trial and
error and could benefit from intelligent prioritization based on deep domain understanding …
error and could benefit from intelligent prioritization based on deep domain understanding …
[PDF][PDF] peer review: 2 approved
Many important scientific discoveries require lengthy experimental processes of trial and
error and could benefit from intelligent prioritization based on deep domain understanding …
error and could benefit from intelligent prioritization based on deep domain understanding …