Bioinformatics research in biotechnology

Bioinformatics server for bioinformatics analysisis an open source,
web-based platform for data intensive biomedical research

Data platform: 2D protein sequence

Integration into existing workflows is another common obstacle to effective AI implementation

Data platform: 2D RNA prediction

Machine learning for RNA 2D structure prediction

Data platform: 3D dimer

Bioinformatics Analysis Platform: Get 3D dimer physical properties: Input files-Download Data

Data platform: 2D temperature correction method for proteins

Protein Thermostability Calculations

Data platform:3D peptide calculations

Strategies for Improving Peptide Stability . The possible solutions to enhance the stability of peptides.

Data platform: 2D Protein phosphorylation

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.

Data platform: 3D Antibody-Anrigen

A deep learning method for predicting antibody-antigen interactions based on sequence information

Data platform: 3D monomer

Predicting the Effects of Single Mutations on Protein Stability

machine learning

Bioinformatics Analysis Platform: machine learning

Examples

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.

Cloud, check out this in-depth deep learning video created

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

Regeneron Pharmaceuticals, Vertex Pharmaceuticals

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.