scholarly journals ProMoST (Protein Modification Screening Tool): a web-based tool for mapping protein modifications on two-dimensional gels

2004 ◽  
Vol 32 (Web Server) ◽  
pp. W638-W644 ◽  
Author(s):  
B. D. Halligan ◽  
V. Ruotti ◽  
W. Jin ◽  
S. Laffoon ◽  
S. N. Twigger ◽  
...  
2014 ◽  
Vol 18 ◽  
pp. e6
Author(s):  
K. Norton ◽  
P. Keyzer ◽  
J. Dietrich ◽  
V. Jones ◽  
B. Sekendiz ◽  
...  

2017 ◽  
Vol 98 ◽  
pp. 21-34 ◽  
Author(s):  
Vlad Isakov ◽  
Timothy M. Barzyk ◽  
Elizabeth R. Smith ◽  
Saravanan Arunachalam ◽  
Brian Naess ◽  
...  

2019 ◽  
Author(s):  
Ahmed Arslan

AbstractMotivationPosttranslational modifications (PTMs) modulate proteins activity depending on the dynamics of cellular conditions, in the highly regulated processes that control the reversible nature of these modifications and a cellular state. Due to the unique importance of PTMs, a number of resources are available to analyze the protein modification data for different organisms. These databases are quite informative on a limited number of popular organisms, mostly human and yeast. However there has not been a single database to date that makes it possible to analyze the modified protein residue data for up to 83 model organisms. Moreover, there are limited resources that rely on both protein mutations and modifications in evaluating a phenotype.ResultsI am presenting a comprehensive python tool Pyntheon that enables users to analyze protein modifications and mutations data. This resource can be used in different ways to know: (i) if the proteins of interest have modifications and (ii) if the modified residues overlap with mutated sites. Additional functions include, analyzing if a PTM-site is present in a functional protein region, like domain and structural regions. In summary, Pyntheon makes it possible for a larger community of researchers to evaluate their curated proteomics data and interpret the impact of mutations on phenotypes.ConclusionPyntheon has multifold functions that can help analyzing the protein mutations impact on the modified residues for a large number of popular model organisms.Code-Availabilityhttps://github.com/AhmedArslan/[email protected]


2019 ◽  
Vol 51 (6) ◽  
pp. 838-857
Author(s):  
T Kartashova ◽  
H de Ridder ◽  
SF te Pas ◽  
SC Pont

In this paper, we introduce a toolbox for the perceptually based visualization of light in a volume, focusing on the visual effects of illumination. First, our visualizations extend the conventional methods from a two-dimensional representation on surfaces to the whole volume of a scene. Second, we extend the conventional methods from showing only light intensity to visualizing three light properties (mean illuminance, primary direction and diffuseness). To make our methods generally available and easily accessible, we provide a web-based tool, to which everybody can upload data, measured by a cubic or simple illuminance meter or even a smartphone-app, and generate a variety of three-dimensional visualizations of the light field. The importance of considering the light field in its full complexity (and thus as a three-dimensional vector field instead of its two-dimensional sections) is widely acknowledged. Our toolbox allows easy access to sophisticated methods for analysing the spatial distribution of light and its primary qualities as well as how they vary throughout space. It is our hope that our results raise interest in ‘third stage’ approaches to lighting research and design, and the toolbox offers a practical solution to this complex problem.


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