Results 81 to 90 of about 933,309 (343)

An approach to evolving cell signaling networks in silico [PDF]

open access: yes, 2006
Cell Signaling Networks(CSN) are complex bio-chemical networks which, through evolution, have become highly efficient for governing critical control processes such as immunological responses, cell cycle control or homeostasis.
Decraene, James   +3 more
core  

Systems biology in animal sciences [PDF]

open access: yes, 2011
Systems biology is a rapidly expanding field of research and is applied in a number of biological disciplines. In animal sciences, omics approaches are increasingly used, yielding vast amounts of data, but systems biology approaches to extract ...
Bannink, A.   +4 more
core   +3 more sources

Redox‐dependent binding and conformational equilibria govern the fluorescence decay of NAD(P)H in living cells

open access: yesFEBS Letters, EarlyView.
In this work, we reveal how different enzyme binding configurations influence the fluorescence decay of NAD(P)H in live cells using time‐resolved anisotropy imaging and fluorescence lifetime imaging microscopy (FLIM). Mathematical modelling shows that the redox states of the NAD and NADP pools govern these configurations, shaping their fluorescence ...
Thomas S. Blacker   +8 more
wiley   +1 more source

The computational stance in biology [PDF]

open access: yesPhilosophical Transactions of the Royal Society B: Biological Sciences, 2019
The goal of this article is to call attention to, and to express caution about, the extensive use of computation as an explanatory concept in contemporary biology. Inspired by Dennett's ‘intentional stance’ in the philosophy of mind, I suggest that a ‘computational stance’ can be a productive approach to evaluating the value of computational concepts ...
openaire   +3 more sources

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

open access: yesMolecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Escape from TGF‐β‐induced senescence promotes aggressive hallmarks in epithelial hepatocellular carcinoma cells

open access: yesMolecular Oncology, EarlyView.
Chronic TGF‐β exposure drives epithelial HCC cells from a senescent state to a TGF‐β resistant mesenchymal phenotype. This transition is characterized by the loss of Smad3‐mediated signaling, escape from senescence, enhanced invasiveness and metastatic potential, and upregulation of key resistance modulators such as MARK1 and GRM8, ultimately promoting
Minenur Kalyoncu   +11 more
wiley   +1 more source

Highlights from the eleventh ISCB Student Council Symposium 2015 [PDF]

open access: yes, 2016
This report summarizes the scientific content and activities of the annual symposium organized by the Student Council of the International Society for Computational Biology (ISCB), held in conjunction with the Intelligent Systems for Molecular Biology ...
Cuypers, Bart   +9 more
core   +1 more source

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

open access: yesMolecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu   +12 more
wiley   +1 more source

Correction: Accounting for non-stationarity in epidemiology by embedding time-varying parameters in stochastic models. [PDF]

open access: yesPLoS Computational Biology, 2019
[This corrects the article DOI: 10.1371/journal.pcbi.1006211.].
PLOS Computational Biology Staff
doaj   +1 more source

Computational system biology [PDF]

open access: yesNature Precedings, 2012
AbstractSystems biology is a multi-disciplinary field that deals with mechanisms involved in complex biological processes by considering them as integrated systems of multiple interacting components. The huge amount of data involved in this study necessitates the use of computational tools.
openaire   +2 more sources

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