High throughput systems and mathematical models for prediction of protein renaturation processes

2014 ◽  
Vol 31 ◽  
pp. S127
Author(s):  
Bernhard Mißbichler ◽  
Cornelia Walther ◽  
Sabrina Mayer ◽  
Dorota Antos ◽  
Alois Jungbauer ◽  
...  
Keyword(s):  
Mathematical Models ◽  
High Throughput ◽  
Protein Renaturation

High throughput systems and mathematical models for prediction of protein renaturation processes

2014 ◽  
Vol 31 ◽  
pp. S126-S127
Author(s):  
Bernhard Mißbichler ◽  
Cornelia Walther ◽  
Sabrina Mayer ◽  
Dorota Antos ◽  
Alois Jungbauer ◽  
...  
Keyword(s):  
Mathematical Models ◽  
High Throughput ◽  
Protein Renaturation

scholarly journals Modeling Biology Spanning Different Scales: An Open Challenge

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Filippo Castiglione ◽  
Francesco Pappalardo ◽  
Carlo Bianca ◽  
Giulia Russo ◽  
Santo Motta
Keyword(s):  
Immune System ◽  
Mathematical Models ◽  
Multiscale Modeling ◽  
Time Scales ◽  
High Throughput ◽  
Biological Systems ◽  
Living System ◽  
Huge Amount ◽  
Modern Biology ◽  
Unified Description

It is coming nowadays more clear that in order to obtain a unified description of the different mechanisms governing the behavior and causality relations among the various parts of a living system, the development of comprehensive computational and mathematical models at different space and time scales is required. This is one of the most formidable challenges of modern biology characterized by the availability of huge amount of high throughput measurements. In this paper we draw attention to the importance of multiscale modeling in the framework of studies of biological systems in general and of the immune system in particular.

scholarly journals Delivery of pharmaceutics to bone: nanotechnologies, high-throughput processing and in silico mathematical models

2016 ◽  
Vol 31 ◽  
pp. 355-381 ◽  
Author(s):  
IS Alencastre ◽  
◽  
DM Sousa ◽  
CJ Alves ◽  
L Leitão ◽  
...  
Keyword(s):  
Mathematical Models ◽  
High Throughput ◽  
In Silico

154: Integration of TPSA and High-Throughput Mass Spectrometry Data Improves Prostate Cancer Prediction

2007 ◽  
Vol 177 (4S) ◽  
pp. 52-53
Author(s):  
Stefano Ongarello ◽  
Eberhard Steiner ◽  
Regina Achleitner ◽  
Isabel Feuerstein ◽  
Birgit Stenzel ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Mass Spectrometry ◽  
High Throughput ◽  
Mass Spectrometry Data ◽  
Cancer Prediction
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