Results 111 to 120 of about 7,431,159 (264)

Imputation of quantitative genetic interactions in epistatic MAPs by interaction propagation matrix completion [PDF]

open access: yes, 2014
A popular large-scale gene interaction discovery platform is the Epistatic Miniarray Profile (E-MAP). E-MAPs benefit from quantitative output, which makes it possible to detect subtle interactions.
Marinka Žitnik   +3 more
core   +1 more source

Severe hyperglycaemia following pazopanib treatment: The role of drug‐drug‐gene interactions in a patient with metastatic renal cell carcinoma—A case report

open access: yesJournal of Clinical Pharmacy and Therapeutics, 2020
Pazopanib is a tyrosine kinase inhibitor with hyperglycaemia as a known adverse event, but case reports of severe hyperglycaemia are exceptional. We report a case of severe hyperglycaemia following pazopanib administration in a patient with metastatic ...
D. Kuruc Poje   +3 more
semanticscholar   +1 more source

Three phosphatase families form a community: The phosphohydrolases that act upon inositol pyrophosphates

open access: yesFEBS Letters, EarlyView.
Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley   +1 more source

Clinical risk management in Dutch community pharmacies: the case of drug-drug interactions. [PDF]

open access: yes, 2006
Item does not contain fulltextBACKGROUND: The prevention of drug-drug interactions requires a systematic approach for which the concept of clinical risk management can be used.
Dep Farmaceutische wetenschappen   +5 more
core   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

Identifying chemogenetic interactions from CRISPR screens with drugZ

open access: yesGenome Medicine, 2019
Background Chemogenetic profiling enables the identification of gene mutations that enhance or suppress the activity of chemical compounds. This knowledge provides insights into drug mechanism of action, genetic vulnerabilities, and resistance mechanisms,
Medina Colic   +10 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik   +5 more
wiley   +1 more source

Characterisation and validation of drug transport and GLP-1R function in primary porcine proximal tubular cells [PDF]

open access: yes, 2006
Overview kidney: Kidney is, beside the liver, one of the most important organs for the elimination of waste products, toxins, drugs and their metabolites. Due to the anatomy of the kidney, ultra filtrate leaving the glomerulus passes first the proximal
Schlatter, Philipp
core   +1 more source

Drug candidate identification based on gene expression of treated cells using tensor decomposition-based unsupervised feature extraction for large-scale data

open access: yesBMC Bioinformatics, 2019
Background Although in silico drug discovery is necessary for drug development, two major strategies, a structure-based and ligand-based approach, have not been completely successful.
Y-h. Taguchi
doaj   +1 more source

Decoding the dynamic extracellular matrix in cancer—3D models and bioscaffolds rewire the rules of tumor progression

open access: yesFEBS Letters, EarlyView.
Cancer progression is regulated by the dynamic matrix code of the tumor microenvironment, which influences cellular behavior and disease development. Importantly, matrix remodeling in three‐dimensional cancer models more accurately reflects in vivo conditions compared to conventional two‐dimensional systems.
Sylvia Mangani   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy