Cytocast™ Simulated Cell hero image

Unleash the Power of Cytocast™ Simulated Cell

Step into the future of medical technology with Cytocast™ Simulated Cell. Our cutting-edge platform harnesses the potential of cell simulation to transform how we approach drug discovery and development.

Cytocast™ Simulated Cell 

Based on a wide range of available information on complex cellular processes, we developed the Cytocast™ Simulated Cell, the most detailed human simulated cell available for 17 tissue types and cell lines. It holds the potential to accelerate drug discovery while decreasing costs and increasing clinical trial success rates. We provide a cell simulation service for research and drug discovery both in academia and in pharmaceutical companies. 

Cytocast™ Simulated Cell 

Cytocast’s advanced technology is built upon a comprehensive cell simulator integrating bioinformatics databases into a computer model to understand the effects of perturbations caused by disease and predict how drugs can modify cellular health. Powered by high-performance computing developments we can simulate detailed molecular complexity to tackle down challenges in drug discovery & development, and precision medicine. 

The lack of efficacy and side-effects are the main reasons for treatment failures.

Side-effects, or adverse drug reactions, have become a major healthcare concern. In fact, various drugs have had to be withdrawn from the market due to serious side effects even after experiencing initial growth in sales, causing drug development companies to lose up to $50,000 a day.

There is a pressing need for an efficient method to select the most promising drug candidates for clinical trials. However, at present, there is no reliable way to determine which treatment will be the most effective, safe for most individuals with the least side-effects. 

Cytocast has a solution to this problem.

We can accurately estimate drug effectiveness and side effects during the R&D phase, saving you time and money while increasing the chances of success in clinical trials.

We can predict side-effects of drug candidates already at the stage when their chemical structure is designed only. 

Cytocast™ Simulated Cell is a high-performance computing tool, which can transform how we approach drug treatments. By utilizing multi-omics data and simulating protein complex formation across multiple tissues, our software can predict the effects and side-effects of drugs. With Cytocast simulation, you can test the side-effects of your drug candidate in silico on multiple tissues and cell lines before starting clinical trials, using only the list of proteins interacting with your drug

Cytocast™ Simulated Cell 

CYTOCAST™ SIMULATED CELL OPERATES THROUGH A SERIES OF 4 MAIN STEPS:

1. MODEL GENERATION

1. MODEL GENERATION

Cytocast™ Simulated Cell generates models of individual cells from various tissues by integrating molecular data with our proprietary database. Our model is built by integrating molecular data from various sources, including the abundance of proteins from mass spectrometry, gene expression data from RNA-sequencing, etc.

2. DRUG SELECTION

2. DRUG SELECTION

To initiate drug testing, you can either pick one of our pre-defined drugs or upload your own drug-protein interaction data. Currently, we can only support testing of intracellular drugs, but we are working to expand our capabilities.

3. SIMULATION OF THE MODEL

3. SIMULATION OF THE MODEL

Our parallelized simulation algorithm, capable of simulating 100,000,000 molecules and all existing protein-protein interactions, performs multiple simulations to test the effects of each drug on all requested tissue types. 

4. REPORTING

4. REPORTING

Cytocast™ Simulated Cell reports which protein complexes and interactions were most affected by the drug, identify the cellular phenotype changes caused by the drug on each tissue type and we aim to correlate these changes with drug side-effects. 

Interested in a demo?

Get in touch today to get to see how the Cytocast platform works.

Contact us

Drug discovery and development 

Here, you can discover how our technology can be utilized in the domains of drug discovery and development. To gain a deeper insight into the practical implementation of our technology visit our How We Do It page, which features our publications and details about collaborative research projects we have undertaken, or we are currently engaged in. 

Simulation studies in cell biology are on the rise, and now these studies are being applied to drug discovery. Our company offers computational technology solutions that utilize the advanced Cytocast cell simulator, which models entire cells and cellular processes. Leveraging extensive information on complex cellular processes, we have developed the Cytocast™ Simulated Cell - the most detailed simulated human cell available for 17 different tissue types. Our product is currently the most detailed in terms of handling protein complexes that regulate cell functions, surpassing any of its competitors. The technology has the potential to accelerate drug discovery, reduce costs, and increase success rates of clinical trials by predicting effects and side effects of drugs. In collaboration with another company, we have already validated our software by examining the effects and side effects of 10 drugs. 

Cell simulation technology can help in predicting drug effects and side effects for diverse types of drugs: 

  1. Existing drugs: Cell simulation can help predict the effects and side effects of existing drugs by modeling how they interact with specific proteins or cellular pathways. This can help identify potential drug-drug interactions or predict how a drug might work differently in different patient populations. 
  2. New drugs (originals): Cell simulation can be used to predict the effects and side effects of new drugs by modeling how they interact with specific cellular targets. This can help identify potential safety concerns early in the development process and guide further research into the drug's efficacy before advancing them to clinical trials. 
  3. Prediction of drug efficacy: By simulating how a drug interacts with specific proteins, enzymes, or pathways within a cell, it can be predicted how effective it will be at treating a particular disease or condition. This approach can lead to identification of drugs worth to repurpose for treatments of not yet indicated diseases, 
  4. Drug target identification: Simulating the behavior of different proteins, genes, or signaling pathways within a cell can reveal new targets for drug development that were previously unknown. 
  5. Drug dosage and delivery optimalization: Simulations can help researchers optimize the dosage and delivery method of a drug by predicting how it will be absorbed, metabolized, and eliminated by the body. 
  6. Assessment of drug safety: Simulating the effects of a drug on different cells and tissues can help predict potential side effects or toxicity, allowing to identify and address safety concerns early in the development process. 
  7. Personalized medicine: By simulating the behavior of cells from individual patients, researchers can develop personalized treatment plans that are tailored to each patient's unique genetic makeup and disease profile. 
  8. Orphan drugs: Since orphan drugs are developed specifically to treat rare diseases, often these diseases have limited treatment options and small patient populations. Therefore, in silico cell simulation can be especially valuable in predicting drug effects and side effects and more accurately estimate their potential benefits and risks. 
  9. Generic drugs: Cell simulation can help ensure that the generic drug is just as safe and effective as the original medication.