scholarly journals In Silico Design and Selection of CD44 Antagonists

2021 ◽  
Author(s):  
◽  
Angel Ruiz Moreno
2013 ◽  
Vol 999 (999) ◽  
pp. 1-15
Author(s):  
H.K. Ho ◽  
G. Nemeth ◽  
Y.R. Ng ◽  
E. Pang ◽  
C. Szantai-Kis ◽  
...  

Author(s):  
Md. Chayan Ali ◽  
Mst. Shanzeda Khatun ◽  
Sultana Israt Jahan ◽  
Raju Das ◽  
Yeasmin Akter Munni ◽  
...  

Author(s):  
Elahe Akbari ◽  
Kimia Kardani ◽  
Ali Namvar ◽  
Soheila Ajdary ◽  
Esmat Mirabzadeh Ardakani ◽  
...  

2021 ◽  
Author(s):  
Oisín Sean Byrne ◽  
Fergal Brian Coulter ◽  
Ellen T Roche ◽  
Eoin D O'Cearbhaill

Benchtop testing of endovascular medical devices under accurately simulated physiological conditions is a critical part of device evaluation prior to clinical assessment. Currently, glass, acrylic and silicone vascular models are...


Author(s):  
Yorick Bernardus Cornelis van de Grift ◽  
Nika Heijmans ◽  
Renée van Amerongen

AbstractAn increasing number of ‘-omics’ datasets, generated by labs all across the world, are becoming available. They contain a wealth of data that are largely unexplored. Not every scientist, however, will have access to the required resources and expertise to analyze such data from scratch. Fortunately, a growing number of investigators is dedicating their time and effort to the development of user friendly, online applications that allow researchers to use and investigate these datasets. Here, we will illustrate the usefulness of such an approach. Using regulation of Wnt7b expression as an example, we will highlight a selection of accessible tools and resources that are available to researchers in the area of mammary gland biology. We show how they can be used for in silico analyses of gene regulatory mechanisms, resulting in new hypotheses and providing leads for experimental follow up. We also call out to the mammary gland community to join forces in a coordinated effort to generate and share additional tissue-specific ‘-omics’ datasets and thereby expand the in silico toolbox.


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