Binomlabs

AI methods for preliminary research molecular solutions

The correlations were performed on real molecules in lab. preliminary research, data analysis

Benefit from modern trending technologies.

You have achieved a lot, becoming specialists in mastering experimental techniques in biochemistry and pharmacology.
Explore AI algorithms tested on biochemical experiments for preliminary research.
Find your biochemical experience and look 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.

You are a specialist in the field of biochemical experimentation:

Enzyme properties and the effect of substrate concentration
Protein assay and standard curve generation
Thin-layer chromatography
ELISA.
DNA/RNA Sequencing.
Nutrition.
Gel Electrophoresis.
Antibodies & Antigens.
Blotting Methods.
Polymerase Chain Reaction (PCR)

conducts experiments

You study the following properties of molecules, cells, tissues

the structure, composition, and chemical reactions of substances in living systems:

activity of the complex,
cell growth,
affinity, IС50, Kd,
survival,
toxicity,
drug efficacy,
effect of protein modification and drug addition,
structural changes,
unfolding,
denaturation,
molecular weight of the complex, aggregation

records data, and studies the functions, chemical processes

Benefit allows you to obtain a forecast up to 90%
of experimental data

Which will allow obtaining preliminary investigation, hypothesis,
a direct correlation between calculated and experimental data.

Thermodynamic characteristics:

entropy change,
enthalpy change,
numerical stability parameter,
potential energy,
calculated Kd,
heat maps,
numerical values

Suitable for the following molecules:

monomers, dimers,
trimers, tetramers,
protein-protein interaction
peptides,
protein+inhibitors+atoms,
Antibody-Antigen
RNA molecules

Consideration of experimental conditions:

temperature,
salt solutions,
denaturing solutions

There are seven steps to the scientific method: Question, Research, Hypothesis, Experiment, Data Analysis, Conclusion, and Communication. Although scientists may modify, reorder, or revisit steps on occasion, scientists generally use this basic logical approach.

PayPall.me

How much does it cost to use AI in biochemical experiments?
Comparative cost of peptide synthesis and peptide calculation using AI methods.
Are you still paying hundreds of dollars for the synthesis of peptides and proteins, waiting weeks for their creation and delivery, and then spending months on high-tech biochemical experiments to study them, and all this without any preliminary data?

Modern technologies will allow you to get a large set of preliminary data for the price of 2.49 Euros for each small protein or peptide when ordering a study on a hundred similar amino acid sequences.

The latest developments in programming and machine learning allow us to bring the efficiency of using AI in biochemical experiments to 93% correlation between calculated data and experimental data.
Embrace this tool, not as a replacement for your expertise, but as an enhancement.

Let it guide you, refine your approach, and amplify your results. Your dedication, combined with the strategic use of AI, will drive your research forward, breaking barriers and setting new standards.

New product line

Choose the option that best suits your research

preliminary research, data analysis, preliminary analysis, preliminary meaning, primary data, preliminary data meaning, preliminary investigation, hypothesis, secondary data

Anibody-Antigen

Online server for flexible antibody chains
selection

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.

Price/Examples here

Protein–Protein Interactions

Predicting the Effects of Missense Mutations

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.

Price/Examples here

AI performance factor

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.

Examples here

preliminary research, data analysis, preliminary analysis, preliminary meaning, primary data, preliminary data meaning, hypothesis, secondary data

Oncogenic changes in the cell

How do oncogenic mutations differ
from neutral ones?

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.

Price/Examples here

Macromolecular Complexes

Complex solution for calculating thermodynamic shift in biochemical pathways.

Which molecular complexes have higher concentrations? Where will the chemical reaction go in the next stage of reactions? We offer a solution that will result in solving the problem of which type of molecules will prevail: monomers, dimers, trimers, taking into account metal atoms, inhibitors, drugs.

BIomarckers for Clinical Phases

We will be happy to accept your financial assistance and donations!

Thank you very much for your interest in our work, it motivates us to continue working and to carry out both academic research and practical software developments dedicated to accelerating preclinical and clinical research in medicine.

If you are ready to support us financially, then for your convenience we have implemented DonorBox on the page of our website for promotional donation on your part, as well as for payment of settlement services
Basic needs:
Payment of software development specialists,
security, payment for academic research,
purchase of equipment, depreciation of existing equipment, rent, taxes, transportation costs,
food, baking, coffee for employees

Examples of calculations of molecular biological structures using a spatial 3D model, which is provided by the customer, or we assemble it ourselves.

Alaning scaning

Alanine scanning of consecutive amino acid residues in monomer, dimer, trimer, tetramer, list of calculated physical parameters.
Order calculation of 100 mutations for a monomeric protein or for a dimer, taking into account known 3D structures.
You can order not only alanine scanning, but also a study of any missense mutations.

Mutagenesis, missense mutations

Analysis of the influence of point mutations on the affinity of protein molecules in dimers, tetramers, any other molecular complexes, heat maps, analysis of the influence of salt solutions, temperature conditions.
Step-by-step analysis of the influence of polypeptide chain modification on all structural levels of molecular organization

The influence of small inhibitors on protein interactions

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

Selection of oncogenic from neutral mutations

You will be provided with a list of physical characteristics for each group of mutations, such as order, stability, dissociation energy, etc., graphs of the calculated values obtained, excel tables

Assemble the contacting dimer, trimer, tetramers

You don't have a 3D structure of the compound you're interested in? We'll collect it for you and do the research you need.

Calculation of amyloid peptides

Calculate the properties of interaction of Beta structure and amyloid peptides, which have a tendency to aggregate and increase toxicity. Obtain a direct correlation with the experiment and a descriptive and explanatory part of the obtained calculated data.

Protein+Inhibitor

Get a list of physical parameters obtained by calculating the influence of small inhibitors and atoms on the properties of the molecule structure, graphs, excel files with data, description of the results obtained

Saline Solutions:

Taking into account the influence of the concentration of salt in an aqueous solution on the properties of protein interactions, the calculation is based on the Gouy-Chapman theory - screening of charged amino acid residues by salt counterions at low salt concentrations in an aqueous solution.

Urea protein denaturation

Obtain a direct correlation for Unfolding proteins under the influence of urea concentration and calculated data. At a Urea concentration of more than 2.6M, the correlation with experimental data reaches 89%

Linear models for finding correlations:

Phosphorylation effect

RNA interaction

Finding areas of interaction