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Preliminary data for protein-protein interactions determined by AI, machine learning and deep learning analysis methods in pharmaceuticals.

Here is a basic list of interesting topics that occupy the majority of research.

Online server dedicated for prediction of drug resistance on protein mutation

During chemotherapy drug resistance in cancer treatment is a serious problem, characterizing the ability of cancer cells to survive and worsening the prognosis of patient survival. Different types of mutations affect breast cancer treatment or prostate cancer treatment by disrupting protein-protein interactions and have different effects on the success of chemotherapy.
Utilizing our machine learning algorithms allows you to predict and identify the molecular mechanisms of drug resistance during lung cancer treatment, skin cancer treatment, blood cancer treatment or colon cancer treatment.

Online Server

Utilizing our machine learning algorithms

We offer preliminary investigation using machine-learning-based solutions in bioinformatics, perform data analysis and Preliminary research before conducting a biochemical experiment in a wet lab. Watch Machine Learning Algorithms right here.

The opportunity to study the latest trending technologies

Familiarize yourself with artificial intelligence and education for research and development, see examples in programming, statistics, take a closer look at what is artificial intelligence and bioinformatics and biology insights. Learn how to apply modern trends to data processing and bioinformatics.

Online server for selection of flexible antibody chains to antigen

Producing a monoclonal antibody can be complicated and more expensive and hence can cost an average cost of $6000- $15000 in pharma medica research. Our trending technologies allow you to obtain preliminary investigation examples for monoclonal and polyclonal antibodies by selecting antibody heavy chain and light chain using AI and machine learning methods for pharma data analytics solutions to accelerate and optimize production.

Selecte an antibody chain

Calculate Molecule Properties

Get lectures and video training on simple examples of the structure of water atoms, hydrophobic molecules, protein-protein interactions, preliminary definition of affinity, electronegativity, potential energy, change in free energy, entropy, enthalpy, Gibbs free energy, calculations Kd, IC50, calculation examples of polypeptide chains in antibody light and heavy chains, dissociation energy

video training , free software download

Predicting the Effects of Missense Mutations on Protein–protein Interactions

Here you can see examples of deep mutational scanning the following types of mutations: missense mutation, nonsense mutation, silent mutation, dna mutation, point mutation, gene mutation in the process of protein-protein interaction and obtaining preliminary initial results characterizing the physical aspects of the protein complex formation.

3D dimer calculations

We will be very grateful for any possible assistance to the developer team!

Donor Tracker brings together the most reliable and up-to date quantitative data

Tilda Publishing

growing number of donors who not only provide financial support

How to apply AI algorithms to reduce the costs of conducting biochemical experiments.

Explore AI algorithms tested on biochemical experiments. Find your biochemical experience and learn how to apply the software to your research. You can use the built-in Server on our company's website or contact our specialists for consultation.

What would be a benefit of using our machine learning
and AI in biology and trends in pharmacology?

What is your professional interest?
Find the corresponding benefit for yourself

Saving financial resources in experimental biochemical research

Bringing together scientific research and commercial activity under one roof.

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List of free software

machine learning software, paid software. How to get software for personal PC and corporate use.

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How to get 90% correlation between protein stability studies and calculated data?

See the full list of practical calculations performed using AI and deep learning. Correlation plots between experimental and calculated data for proteins in the denaturant solution. using the example of a combination of several physical experiments in which the unfolding of P53 mutations was studied depending on the denaturant concentration.

Get correlation!

a) How to separate oncogenic mutations from non-oncogenic ones using AI algorithms?

using calculated physical data obtained by deep learning methods. Machine learning model and deep learning was used to achieve correlations between calculated and experiment data. We present a specific machine learning model to predict the stability of missense mutation in TP53 using the example of a combination of several physical experiments in which the unfolding of P53 mutations was studied depending on the denaturant concentration.

Separate!

b) Are you investigating amyloid-like peptides using different experimental conditions?

If you need to calculate the aggregation of amyloid peptides under various experimental conditions, you can use our software or perform the calculation online on the server and get clear and understandable preliminary results taking into account various experimental conditions.

Get correlation!

c) Why are we investigating electrostatic interactions?

- we are often asked about this, because "there are many other interactions."

I am interested in using an online server for biochemical calculations

Check out the full range of online calculations performed for proteins, peptides, dimers, tetramers, inhibitors. Perform the calculation by yourself - upload the source data and get a data file.

Online Server

Get acquainted with the mathematical pdf files, see the section on quantum mechanics