Cargando…

Exploring the Complex Network of Heme-Triggered Effects on the Blood Coagulation System

Excess labile heme, occurring under hemolytic conditions, displays a versatile modulator in the blood coagulation system. As such, heme provokes prothrombotic states, either by binding to plasma proteins or through interaction with participating cell types. However, despite several independent repor...

Descripción completa

Detalles Bibliográficos
Autores principales:	Mubeen, Sarah, Domingo-Fernández, Daniel, Díaz del Ser, Sara, Solanki, Dhwani M., Kodamullil, Alpha T., Hofmann-Apitius, Martin, Hopp, Marie-T., Imhof, Diana
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572022/ https://www.ncbi.nlm.nih.gov/pubmed/36233841 http://dx.doi.org/10.3390/jcm11195975

Ejemplares similares

Linking COVID-19 and Heme-Driven Pathophysiologies: A Combined Computational–Experimental Approach
por: Hopp, Marie-Thérèse, et al.
Publicado: (2021)

Elucidating gene expression patterns across multiple biological contexts through a large-scale investigation of transcriptomic datasets
por: Figueiredo, Rebeca Queiroz, et al.
Publicado: (2022)

On the influence of several factors on pathway enrichment analysis
por: Mubeen, Sarah, et al.
Publicado: (2022)

DecoPath: a web application for decoding pathway enrichment analysis
por: Mubeen, Sarah, et al.
Publicado: (2021)

Towards a global investigation of transcriptomic signatures through co-expression networks and pathway knowledge for the identification of disease mechanisms
por: Figueiredo, Rebeca Queiroz, et al.
Publicado: (2021)

Using predictive machine learning models for drug response simulation by calibrating patient-specific pathway signatures
por: Golriz Khatami, Sepehr, et al.
Publicado: (2021)

A Computational Approach for Mapping Heme Biology in the Context of Hemolytic Disorders
por: Humayun, Farah, et al.
Publicado: (2020)

Linking Labile Heme with Thrombosis
por: Hopp, Marie-Thérèse, et al.
Publicado: (2021)

A Systems Biology Approach for Hypothesizing the Effect of Genetic Variants on Neuroimaging Features in Alzheimer’s Disease
por: Golriz Khatami, Sepehr, et al.
Publicado: (2021)

Reasoning over genetic variance information in cause-and-effect models of neurodegenerative diseases
por: Naz, Mufassra, et al.
Publicado: (2016)

Comorbidity Analysis between Alzheimer’s Disease and Type 2 Diabetes Mellitus (T2DM) Based on Shared Pathways and the Role of T2DM Drugs
por: Karki, Reagon, et al.
Publicado: (2017)

Data-Driven Modeling of Knowledge Assemblies in Understanding Comorbidity Between Type 2 Diabetes Mellitus and Alzheimer’s Disease
por: Karki, Reagon, et al.
Publicado: (2020)

Shapes and Patterns of Heme-Binding Motifs in Mammalian Heme-Binding Proteins
por: Rathod, Dhruv C., et al.
Publicado: (2023)

PathMe: merging and exploring mechanistic pathway knowledge
por: Domingo-Fernández, Daniel, et al.
Publicado: (2019)

Computational Modelling Approaches on Epigenetic Factors in Neurodegenerative and Autoimmune Diseases and Their Mechanistic Analysis
por: Khanam Irin, Afroza, et al.
Publicado: (2015)

Quantifying mechanisms in neurodegenerative diseases (NDDs) using candidate mechanism perturbation amplitude (CMPA) algorithm
por: Karki, Reagon, et al.
Publicado: (2019)

COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology
por: Domingo-Fernández, Daniel, et al.
Publicado: (2020)

Host and viral proteins involved in SARS‐CoV‐2 infection differentially bind heme
por: Hopp, Marie‐T., et al.
Publicado: (2022)

PTSD Biomarker Database: deep dive metadatabase for PTSD biomarkers, visualizations and analysis tools
por: Domingo-Fernández, Daniel, et al.
Publicado: (2019)

Of Mice and Men: Comparative Analysis of Neuro-Inflammatory Mechanisms in Human and Mouse Using Cause-and-Effect Models
por: Kodamullil, Alpha Tom, et al.
Publicado: (2017)

Using Drugs as Molecular Probes: A Computational Chemical Biology Approach in Neurodegenerative Diseases
por: Emon, Mohammad Asif Emran Khan, et al.
Publicado: (2017)

Multimodal mechanistic signatures for neurodegenerative diseases (NeuroMMSig): a web server for mechanism enrichment
por: Domingo-Fernández, Daniel, et al.
Publicado: (2017)

STonKGs: a sophisticated transformer trained on biomedical text and knowledge graphs
por: Balabin, Helena, et al.
Publicado: (2022)

BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language
por: Hoyt, Charles Tapley, et al.
Publicado: (2018)

Contribution of syndecans to cellular uptake and fibrillation of α-synuclein and tau
por: Hudák, Anett, et al.
Publicado: (2019)

Drug2ways: Reasoning over causal paths in biological networks for drug discovery
por: Rivas-Barragan, Daniel, et al.
Publicado: (2020)

The Impact of Pathway Database Choice on Statistical Enrichment Analysis and Predictive Modeling
por: Mubeen, Sarah, et al.
Publicado: (2019)

Corrigendum: The Impact of Pathway Database Choice on Statistical Enrichment Analysis and Predictive Modeling
por: Mubeen, Sarah, et al.
Publicado: (2020)

Integrative data semantics through a model-enabled data stewardship
por: Wegner, Philipp, et al.
Publicado: (2022)

HeMoQuest: a webserver for qualitative prediction of transient heme binding to protein motifs
por: Paul George, Ajay Abisheck, et al.
Publicado: (2020)

Multi-ontology embeddings approach on human-aligned multi-ontologies representation for gene-disease associations prediction()
por: Wang, Yihao, et al.
Publicado: (2023)

Design of the formalized and integrated Alzheimer’s Disease Ontology and its application in retrieving textual data via text mining
por: Zhang, Bide, et al.
Publicado: (2023)

ADataViewer: exploring semantically harmonized Alzheimer’s disease cohort datasets
por: Salimi, Yasamin, et al.
Publicado: (2022)

MultiPaths: a Python framework for analyzing multi-layer biological networks using diffusion algorithms
por: Marín-Llaó, Josep, et al.
Publicado: (2020)

Data science in neurodegenerative disease: its capabilities, limitations, and perspectives
por: Golriz Khatami, Sepehr, et al.
Publicado: (2020)

ComPath: an ecosystem for exploring, analyzing, and curating mappings across pathway databases
por: Domingo-Fernández, Daniel, et al.
Publicado: (2018)

PDON: Parkinson’s disease ontology for representation and modeling of the Parkinson’s disease knowledge domain
por: Younesi, Erfan, et al.
Publicado: (2015)

Publisher Correction: ComPath: an ecosystem for exploring, analyzing, and curating mappings across pathway databases
por: Domingo-Fernández, Daniel, et al.
Publicado: (2019)

CTO: a Community-Based Clinical Trial Ontology and its Applications in PubChemRDF and SCAIView
por: LIN, Asiyah Yu, et al.
Publicado: (2020)

CLEP: a hybrid data- and knowledge-driven framework for generating patient representations
por: Bharadhwaj, Vinay Srinivas, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_3ltn26podrv3hgmfcjrt3u1uq9