AI Powered Platform for Protein Analysis
Use AI to predict biochemical data:
- Kd, IC50%, affinity prediction,
- Alanine screening, mutagenesis,
- Entropy change,
- Big data analysis,
- selection of flexible antibody-antigen chains
Deutsche Version here!
KI-Methoden für die Vorforschung molekularer Lösungen
Are you part of a biochemical or pharmacological laboratory and looking for highly effective results?
Join our free pilot program featuring an advanced AI platform that predicts experimental data with 70%-90% correlation, reducing the number of required experiments by 60%!
Benefits:
Save time and resources.
Enhance research efficiency.
Focus on breakthroughs while AI handles the heavy lifting.
📩 Apply now to explore this game-changing technology and collaborate with us!
Join our free pilot program featuring an advanced AI platform that predicts experimental data with 70%-90% correlation, reducing the number of required experiments by 60%!
Benefits:
Save time and resources.
Enhance research efficiency.
Focus on breakthroughs while AI handles the heavy lifting.
📩 Apply now to explore this game-changing technology and collaborate with us!
🚨 We’re Hiring Pilot Projects! 🚨 FREE PILOT project for biochemistry labs!
You can also use a ready-made form at your discretion:
Reduce in vitro cost
- 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.
Benefit from modern AI-BinomLab technologies:
AI Platform for Accurate Experimental Data Prediction:
- 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
- entropy change,
- enthalpy change,
- numerical stability parameter,
- potential energy,
- calculated Kd,
- heat maps,
- numerical values
- monomers, dimers,
- trimers, tetramers,
- protein-protein interaction
- peptides,
- protein+inhibitors+atoms,
- Antibody-Antigen
- RNA molecules
AI Platform for Predicting Structure, Composition, and Chemical Reactions of Substances
Suitable for the following molecules:
You will receive the following set of calculated data:
records data, and studies the functions, chemical processes
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.
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! Tubulin Inhibitors: Decades of controversy.
In the last decade, conflicting data on the effectiveness of Rigosertib have accumulated. We make a Comparative numerical analysis: Rigosertib/ ON01500?
Let us conduct a comparative computational analysis for tubulin tetramers containing small chemical molecules (inhibitors): GTP, Rig, oN015000
Arrows indicate the calculated values of the movement of biochemical processes within the framework of the given formations.
The system is in search of molecular formations that meet the above conditions of thermodynamic equilibrium. Learn More
In the last decade, conflicting data on the effectiveness of Rigosertib have accumulated. We make a Comparative numerical analysis: Rigosertib/ ON01500?
Let us conduct a comparative computational analysis for tubulin tetramers containing small chemical molecules (inhibitors): GTP, Rig, oN015000
Arrows indicate the calculated values of the movement of biochemical processes within the framework of the given formations.
The system is in search of molecular formations that meet the above conditions of thermodynamic equilibrium. Learn More
Comparative numerical analysis: Rigosertib/ ON01500?
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.
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.
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