Protein Phosphorylation: Mechanisms, Types/There are so many places in the lab where AI can streamline and improve processes and boost performance. Data mining is a perfect example – it involves using AI to analyze and process huge datasets of information, distilling it down into digestible, actionable insights.
Preliminary results using a bioinformatics server to obtain thermodynamic parameters of the interaction of proteins with small chemical molecules
Step-by-step use of the server for calculating various biological complexes: monomer, dimer, tetramer, monomer+inhibitor, tetramer+2 inhibitors, etc. Subsequent analysis of the obtained thermodynamic parameters will allow to build biochemical processes occurring in normal and malignant cells
The Different Lab AI Tools There are so many AI tools out there that it can be hard to know where to begin. Plenty have been purpose-built for a lab environment and serve a unique purpose. Most of these tools involve Machine learning (ML) algorithms that improve through experience, making them ideal for analyzing large, complex datasets and identifying patterns that may not be immediately obvious to researchers.
Results: The calculation of the physical quantities of interaction characterizing the formation of each complex reveals the direction of the passage of biochemical reactions depending on the affinity and concentration of active elements, thus the platform will help determine stable and transient biological formations with the participation of the studied drugs.
Link: http://biomarker.co.il/scheme2
Get a set of calculated physical quantities for each biological complex in the biochemical cascade and build a diagram and order of interaction of biological molecules in the cell (and beyond) for biotech companies
Link: http://biomarker.co.il/scheme3
Natural language processing (NLP): allows humans to communicate with machines in human language. It also allows machines to understand and respond to human commands, facilitating more effective communication.
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Responsible editor-in-chief in the field of mathematical physics and machine learning:
Doctor of Habilitation in theoretical and math.phisics. Professor at the department of theoretical physics and the department of higher mathematics, Kirill Mazel's ( Ashkenazi) 3321108, Haifa, Israel