Results 81 to 90 of about 1,979,462 (303)
Source file of force versus end-to-end distance in simulations of the mm PCDH24 EC1-3 monomer.
, 2021 This text file contains the source data for forces and end-to-end distances in S6D Fig. (ZIP)
Zachary R. Johnson (11797913) +5 more
core +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS 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
, 2014 Citation: 'end-to-end distance' in the IUPAC Compendium of Chemical Terminology, 3rd ed.; International Union of Pure and Applied Chemistry; 2006. Online version 3.0.1, 2019. 10.1351/goldbook.E02097 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
openaire +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
Maximum-entropy calculation of the end-to-end distance distribution of force-stretched chains [PDF]
The Journal of Chemical Physics, 2003 Using the maximum-entropy method, we calculate the end-to-end distance distribution of the force-stretched chain from the moments of the distribution, which can be obtained from the extension-force curves measured in single-molecule experiments. If one knows the force expansion of the extension through the (n−1)th power of a force, that is enough to ...
Dai, Luru, Liu, Fei, Ou-Yang, Zhong-can
openaire +2 more sources
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
Molecular Oncology, EarlyView.This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
Distribution Function of the End-to-End Distance of Semiflexible Polymers
, 1997 7 pages, Latex, figure available upon ...
Bhattacharjee, J. K. +2 more
openaire +2 more sources
COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells
Molecular Oncology, EarlyView.This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos +6 more
wiley +1 more source
End-to-End Path Stability of Reactive Routing Protocols in IEEE 802.11 Ad Hoc Networks
, 2009 Over the years, a considerable research effort has been applied to the design of ad hoc network routing protocols. However, there is still a lack of understanding of the subtle interactions between routing protocols and lower layers in the protocol stack.
Daniel Franklin (20118138) +3 more
core
, 2012 Cellular membranes have relevant roles in processes related to proteases like human kallikreins and cathepsins. As enzyme and substrate may interact with cell membranes and associated co-factors, it is important to take into account the behavior of ...
Juliano, L. [UNIFESP] +6 more
core +1 more source