We will provide various contents suit for new era.



We will be the partner for the process of transforming data to knowledge.
In Bioinformatics, artificial intelligence technology has been used for many years. By learning known information, we can see that it is difficult to understand. Continued technological advances of recent big data and deep learning make it even more likely.
Do you have a lot of troubles in the flood of complex data such as document, sheet, image and network as well as multi-omics? Find the meaning and value of hidden in your data and make it into advanced knowledge with Insilicogen’s AI technology. Insilicogen supports the discovery and understanding of hidden knowledge by structuring and interconnecting big data via machine learning, feature selection/extraction method.
  • Artificial Intelligence (AI)


Integration of complex data and
external public information through
semantic modeling

Constant data accumulation,
processing, and meaning


Data structure analysis,
dimension reduction
Data cleaning, conversion and
Feature selection/extraction
Machine learning model
construction and evaluation


Web-based analysis results visualization

Provide real-time dynamic results data available online

Web and mobile available

  • Representative Case

  • Research project
    • Beef quality estimation by image analysis and machine learning (Korea Institute for Animal Products Quality Evaluation)
    • Maker selection for degenerative disease by machine learning (National Institute of Animal Science)
    • Machine learning model for prediction of high temperature tolerance for abalone (National Institute of Fisheries Science)
    • The Builds of Environmentally hazardous material-Genomics Knowledge-based and Semantics based Technology Development (Ministry of environment)
    • Excavation of Indicators for Heavy metal toxicology using Toxicogenomics (Ministry of environment)
    • Coordination Analysis among Health Function, Culture, Excellence Geographic location of Korean Food and Korean Food Ingredient (Food Industry Technology Support Center)
    • Traditional Food Semantics Database Construct Analysis Program (Korea Food Research Institute)
    • The Builds of Semantics Database and Korean food specialized Ontology (Korea Food Research Institute)
    • The Builds of Anti-aging Molecular network of aging Database (Pusan National University)
    • Development of InsilicoFood Pilot System through Food Information Integration Analysis (Korea Food Research Institute)
    • Developing of prototype system through establishment of health functional food database (KwangDong)
    • Semantic Data Integration for Toxicogenomic Laboratory Experiment Management Systems. Toxicology and Environmental Health Sciences, 2011
    • Semantic Data Integration to Biological Relationship among Chemicals, Diseases, and Differential Expressed Genes. Biochip Journal, 2011
  • Patents and program registration
    • Patent Registration 10-1107582 Web-based Ontology Editing Operation System
    • Program Registration 2011-01-121-005389 Smart-TGM Heavy metals Toxicity-index Excavating Tools
    • Program Registration 2011-01-129-001569 WeightViz by Weight Visualization Tool
    • Program Registration C-2014-030421 Personal Genomics-based Obesity Risk Computing Program
    • PCT Application pct110125 Web-based Ontology Editing Operation System
    • Patent Application 10-2014-0163505 Customized Personal Traits Dietary ingredients for information Character-Chemical Agent Network System and Providing Methods
    • Patent Application 10-2014-0170397 Personal Genomics-based Obesity Risk Analysis System and Method
    • Patent Application 10-2015-0156844 Customized Food Information Recommendation System considering Personal Genotype and Phenotype information
  • Concept of Semantics and Executive process