The correlations were performed on real solutions in a biochemical laboratory.
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Selection of flexible antibody chains to antigen, determination of affinity, change in entropy, dissociation energy for each modification of the antibody. -modification of antibody flexible chains, -stepwise testing of each antibody to antigen, -determination of key amino acid residues, -range of changes in affinity.
Molecular Profiling of Tumors: The Future of Personalized Medicine. Analysis of the biochemical reaction scheme taking into account the characteristics of each patient's disease, since the concept of "oncological disease" is a complex disease, the obtained results will then be sorted into certain groups according to the characteristics obtained.
Antibody-Antigen
Preclinical phase research
Preclinical development of new medicines
Calculation of the influence of ions and ATP molecules on the physical properties of proteins, monomers, dimers, tetramers. Study of small inhibitors, calculation of atomic charges, comparison of the obtained results, construction of comparative graphs so that the experimenter could see a preliminary possible experimental results
Protein+Inhibitor+Atom
The influence of small inhibitors on protein interactions
Linear models for finding correlations
We present the developed algorithm for a step-by-step transparent and understandable search for interaction areas, each of which will be characterized by numerical physical quantities. Use the linear docking method developed by us, which allows us to determine the most stable binding regions according to the amino acid sequence.
We propose to carry out the check with entire domains, i.e. to divide the molecule into structural elements, to determine the most contact amino acid sequences by the method of linear docking.
The interaction between sites will be characterized by numerical indicators, which will allow for a visual gradation.
Load a simple letter sequence of two protein sequences, while trying to ensure that the length of the proteins is a multiple of the length of the specified shift frame. The results will be automatically sent to your e-mail.
1. Application of optimization problems allows you to reconstruct the RNA structure. 2. The server produces a set of data indicating the stability of each section of RNA.
AI Prices for Linea Docking Calculations.
Calculations of Temperature Effect
Indication of the number of the amino acid residue that will be phosphorylated, from one to three amino acid residues.
The influence of solvent characteristics and experimental conditions on the nature of biochemical reactions.
If you need to calculate the aggregation of amyloid proteins/ 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.
1. Application of optimization problems allows you to reconstruct the RNA structure. 2. The server produces a set of data indicating the stability of each section of RNA.
Urea Denaturation
Correlation analysis between experimental and calculated data for salt solutions revealed an acceleration in achieving agreement between experimental and calculated data. Therefore, it is advisable to carry out the calculation at low concentrations of salt in the solution 0.1mM-10mM
The maximum correlation dependence between the calculated and experimental values ​ was found between lg(cond(W)) and [Urea]50 in solution. Starting with C[Urea] >=2.8M and more. The correlation dependence between the values ​​​​reached 90%
Molecular 3D structure calculations
Start calculate Effects of Single Mutations on Protein Stability (Aggregation) right now! We offer to study an individual peptide only for 2.49 Euro, using AI and machine learning methods. Obtain a complete set of physical interaction parameters rpteoins
Load a simple letter sequence of two protein sequences, while trying to ensure that the length of the proteins is a multiple of the length of the specified shift frame. The results will be automatically sent to your e-mail.
Monomers-Dimers Deep learning
Trimers-Tetramers Deep learning
We present the developed algorithm for a step-by-step transparent and understandable search for interaction areas, each of which will be characterized by numerical physical quantities. Use the linear docking method developed by us, which allows us to determine the most stable binding regions according to the amino acid sequence.
Individual study of the effect of mutations on complex formation, taking into account complex structures: dimers, tetramers, pentamers, taking into account the influence of additional structures: small inhibitors, allosteric inhibition, binding to DNA and RNA
Individual study of the effect of mutations on complex formation, taking into account complex structures: dimers, tetramers, pentamers, taking into account the influence of additional structures: small inhibitors, allosteric inhibition, binding to DNA and RNA
Selection of oncogenic from neutral mutations
Oncogenic mutations
Select mutations
Type of Monomers Calculations
Type of Trimer Calculations
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Quantum problems, search for correlation laws, statistics, machine learning methods
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