Complexity Medicine

Ontonix Publishes Article in Biomedical Journal of Science and Technology

Como, 5-th May, 2023. Ontonix Publishes Article in Biomedical Journal of Science and Technology on “Protein Folding – Quantification of Protein Complexity, Robustness and Amino Acid Participation”. The QCT (Quantitative Complexity Theory) algorithm has been applied to the analysis of the folding process of a protein composed of 435 atoms, monitoring its complexity at each step thereof. The folding has been simulated using Molecular Dynamics Simulation. The analysis has revealed that, while in the native state, the protein’s configuration minimizes its energy, its complexity reaches a maximum.

The experiment described in the paper illustrates how complexity can be used to measure the robustness of a protein, which may be linked to its longevity, as well as determine teh degree of participation of each amino acid in the protein’s global properties.

Dowload the article.

Biomedical Journal of Scientific & Technical Research (BJSTR –www.biomedres.us) is a multidisciplinary, scholarly Open Access publisher focused on Genetic, Biomedical and Remedial missions in relation with Technical Knowledge as well.

Established originally in 2005 in the USA, Ontonix is a technology company headquartered in Como, Italy. The unusual technology and solutions developed by Ontonix focus on countering what most threatens safety, advanced products, critical infrastructures, or IT network security - the rapid growth of complexity. In 2007 the company received recognition by being selected as Gartner's Cool Vendor. What makes Ontonix different from all those companies and research centers who claim to manage complexity is that we have a complexity metric. This means that we MEASURE complexity. We detect anomalies in complex defense systems without using Machine Learning for one very good reason: our clients don’t have the luxury of multiple examples of failures necessary to teach software to recognize them. We identify anomalies without having seen them before. Sometimes, you must get it right the first and only time!

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