Being directly responsible for a great majority of processes in living cells, proteins are the most important class of biological molecules. They are literally ‘molecular machines’ which facilitate the import of nutrients into the cell and expulsion of waste products from it, production of energy and transportation of material within the cell, as well as cellular respiration and mechanical motion. Due to their immense importance, proteins are among the most vigorously studied topics in biology today.
Over half a million different protein species have been identified in humans, each of them related to particular types of human cells. Different tissues, such as muscles, bones, nerves or skin, are distinguished by the unique ‘protein fingerprint’ – the specific relative abundance of different proteins contained in their cells. Moreover, pathological changes in any type of tissue necessarily have an impact on the tissue’s protein composition, and therefore protein fingerprinting can be used for early diagnostics and identification of various diseases such as tumors or infections.
Unfortunately, producing a good quality protein fingerprint has until now been a complicated, time consuming and expensive enterprise. However, based on their research of tumors conducted on horseradish plant tissue, the Croatian team proposed a novel approach to bypass this obstacle. Applying computational methods of artificial intelligence, they ‘trained’ a computer to precisely extract the most relevant information on the protein fingerprint from rather ‘fuzzy’ experimental data obtained by 1D protein electrophoresis, a well known, simple, quick and cheap experimental method of molecular biology. Their result hence opens up the possibility for development of a cheap, convenient and reliable method for producing good quality protein fingerprints.
Duje Bonacci | alfa
Construction of practical quantum computers radically simplified
05.12.2016 | University of Sussex
UT professor develops algorithm to improve online mapping of disaster areas
29.11.2016 | University of Tennessee at Knoxville
In recent years, lasers with ultrashort pulses (USP) down to the femtosecond range have become established on an industrial scale. They could advance some applications with the much-lauded “cold ablation” – if that meant they would then achieve more throughput. A new generation of process engineering that will address this issue in particular will be discussed at the “4th UKP Workshop – Ultrafast Laser Technology” in April 2017.
Even back in the 1990s, scientists were comparing materials processing with nanosecond, picosecond and femtosesecond pulses. The result was surprising:...
Have you ever wondered how you see the world? Vision is about photons of light, which are packets of energy, interacting with the atoms or molecules in what...
A multi-institutional research collaboration has created a novel approach for fabricating three-dimensional micro-optics through the shape-defined formation of porous silicon (PSi), with broad impacts in integrated optoelectronics, imaging, and photovoltaics.
Working with colleagues at Stanford and The Dow Chemical Company, researchers at the University of Illinois at Urbana-Champaign fabricated 3-D birefringent...
In experiments with magnetic atoms conducted at extremely low temperatures, scientists have demonstrated a unique phase of matter: The atoms form a new type of quantum liquid or quantum droplet state. These so called quantum droplets may preserve their form in absence of external confinement because of quantum effects. The joint team of experimental physicists from Innsbruck and theoretical physicists from Hannover report on their findings in the journal Physical Review X.
“Our Quantum droplets are in the gas phase but they still drop like a rock,” explains experimental physicist Francesca Ferlaino when talking about the...
The Max Planck Institute for Physics (MPP) is opening up a new research field. A workshop from November 21 - 22, 2016 will mark the start of activities for an innovative axion experiment. Axions are still only purely hypothetical particles. Their detection could solve two fundamental problems in particle physics: What dark matter consists of and why it has not yet been possible to directly observe a CP violation for the strong interaction.
The “MADMAX” project is the MPP’s commitment to axion research. Axions are so far only a theoretical prediction and are difficult to detect: on the one hand,...
16.11.2016 | Event News
01.11.2016 | Event News
14.10.2016 | Event News
06.12.2016 | Materials Sciences
06.12.2016 | Medical Engineering
06.12.2016 | Power and Electrical Engineering