Here, you can explore the applications of our technology in the realms of drug discovery, development, and personalized medicine. For a more comprehensive understanding of how our technology is put into practice, please visit our Research/Publications page, where you can find information about collaborative research projects we have embarked on or are currently involved in.

Drug discovery and development 

Simulation studies in cell biology are on the rise, and they are now being applied to drug discovery. Our company provides cutting-edge computational technology solutions that harness the power of the advanced Cytocast cell simulator, capable of modeling entire cells and cellular processes. With comprehensive knowledge of complex cellular processes, we have developed the Cytocast™ Simulated Cell, which stands as the most intricately detailed simulated human cell available for 17 distinct tissue types. In terms of handling protein complexes that govern cell functions, our product surpasses any of its competitors in detail and precision. This technology holds the potential to accelerate drug discovery, reduce costs, and enhance the success rates of clinical trials by accurately predicting drug effects and side effects. In collaboration with another company, we have already validated our simulation platform through the examination of the effects and side effects of 10 drugs.

Cytocast’s key solutions in drug discovery and development:

1. Early-Stage Drug Candidate Testing: Cell simulation can predict the effects and side effects of new drugs by modeling their interactions with specific cellular targets. This helps identify potential safety concerns early in the development process and guides further research into the drug's efficacy before advancing to clinical trials.
2. Drug Repurposing: By simulating how a drug interacts with specific proteins, enzymes, or pathways within a cell, we can predict its effectiveness in treating a particular disease or condition. This approach can lead to the identification of drugs suitable for repurposing in treatments for diseases not previously indicated. It can aid in predicting the effects and side effects of existing drugs by modeling their interactions with specific proteins or cellular pathways, assisting in identifying potential drug-drug interactions and foreseeing variations in drug response across different patient populations.
3. Drug Target Identification: Simulating the behavior of various proteins, genes, or signaling pathways within a cell can uncover new targets for drug development that were previously unknown.
4. Drug Dosage and Delivery Optimization: Simulations can assist researchers in optimizing the dosage and delivery method of a drug by predicting its absorption, metabolism, and elimination by the body.
5. Drug Safety Assessment: Simulating the effects of a drug on different cells and tissues can help to predict potential side effects or toxicity, enabling the early identification and resolution of safety concerns in the development process.
6. Personalized Medicine: By simulating the behavior of cells from individual patients, researchers can devise personalized treatment plans tailored to each patient's unique genetic makeup and disease profile. This enhances the precision of treatment recommendations.
7. Enhanced Decision-Making with Population Data Insights: Utilizing population data to correlate Single Nucleotide Polymorphisms (SNPs) with specific drug effects and side effects enables more precise drug recommendations for targeted patient populations. SNP data is employed to customize drug recommendations based on individual genetic profiles, thereby enhancing treatment efficacy and minimizing side effects.
8. Orphan Drug Development: In silico cell simulation can be particularly valuable for predicting drug effects and side effects in the development of orphan drugs, which are designed to treat rare diseases with limited treatment options and small patient populations. This aids in more accurately estimating the potential benefits and risks of such drugs.
9. Generic Drug Safety Assessment: Cell simulation can ensure that generic drugs are as safe and effective as the original medication.

Precision Medicine 

We are at the forefront of a new era in healthcare, where treatments and interventions are tailored to individuals and patient populations, revolutionizing global patient care. Conventional one-size-fits-all approaches to treatment often yield suboptimal outcomes. However, thanks to advances in genomics, analytical science, and technology, we can now craft personalized treatments based on a patient's unique genetic profile, environment, and lifestyle.

At the core of our mission lies precision medicine, also known as personalized medicine. Our technology enhances patient outcomes by incorporating patients' biological traits into a computational model, assessing disease disruptions, and projecting how drugs can individually modify cellular health. Built upon the Cytocast™ Simulated Cell, our platform offers a comprehensive understanding of how perturbations, like diseases or drugs, impact cellular health.

By merging multi-omics data with extensive scientific knowledge, we unlock deep insights into patient biology, hastening scientific breakthroughs. Our Cytocast™ Digital Twin technology translates patient data into invaluable therapeutic decision support, empowering doctors to select the most effective treatment options for each patient. Our tissue-specific reports delineate newly formed protein complexes linked to phenotypes and potential side effects, equipping doctors to make well-informed decisions about patient care.