InSysBio to introduce a new data annotation service available in CYTOCON DB and fIVE DB

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Press-Release
October 16, 2025

InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, launches a new data annotation service designed to support researchers and analysts who require specific, literature-based biological data for use in QSP modeling, analysis, or decision-making.

The new service allows clients to submit targeted data requests related to diseases, tissues, cell types, and cytokines. InSysBio team will populate its CYTOCON or fIVE databases with newly curated data, ensuring availability in the most convenient and standardized format for subsequent analysis and integration.

Key features of the deliverables (all integrated into CYTOCON DB and fIVE DB):

1. Annotated Data Tables:

  • Raw Data: concentrations of cells and molecules in original units, extracted directly from scientific articles (with references to PubMed IDs)
  • Standardized Data: concentrations or calculated parameters expressed in unified units
  • Study metadata: patient age and status; cell type, origin, and phenotype; and other attributes stored in databases

2. Summary Statistics Table

  • Weighted average of mean and standard deviation (SD) values (for Cytocon) or [min-max] range (for fIVEDB)
  • Total number of patients per group

3. Visualizations

  • Graphs of Average Values and Spread: standardized units for all groups by specific cell/molecule, weighted average values
  • Probability Density Distributions: value distributions for each cell/molecule

Each data request follows a one-month workflow. The first week is dedicated to a feasibility assessment, during which the team evaluates the availability and volume of the requested data in scientific literature. If the data cannot be identified, clients receive detailed feedback, and the query may be refined. Depending on the scope and complexity of the request, the team can process up to 20 scientific articles per month, resulting in approximately 800 annotated concentration values for CYTOCON DB and 130 annotated parameters for fIVE DB. All annotations are performed by a dedicated team consisting of one professional annotator and one reviewer, ensuring a high standard of quality and consistency throughout the process.

For further details or to data request, please feel free to contact us: support@insysbio.com

To learn more about CYTOCON DB, please visit https://cytocon.insysbio.com/Index.aspx

To learn more about fIVE DB, please visit https://5db.insysbio.com/Index.aspx

About InSysBio

InSysBio is a group of Quantitative Systems Pharmacology (QSP) companies located in Limassol, Cyprus (INSYSBIO CY Ltd) and Edinburgh, UK (INSYSBIO UK LIMITED). InSysBio was founded in 2004 and has an extensive track record of helping pharmaceutical companies to make right decisions on the critical stages of drug research and development by application of QSP modeling. InSysBio’s cutting-edge QSP approach has already become a part of the drug development process implemented by our strategic partners: there are more than 100 completed projects in collaboration with leaders of pharmaceutical industry and innovative biotech companies. For more information about InSysBio, its solutions and services, visit www.insysbio.com

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1. 19 May 2021 16:52 InSysBio to upgrade its SbmlViewer application [Moscow – 19.05.2021] InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, launches the new version (0.3.0) of its SbmlViewer open project. Generally, SbmlViewer is a tool for fast and easy reading and transformation of biological models written in SBML format.
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1. 25 May 2021 17:38 InSysBio to take part in SMB 2021 InSysBio announces its participation in Society of Mathematical Biology Annual Meeting (SMB 2021) which is to be held virtually this year June 13-17, 2021. InSysBio team is going to present 4 posters and Oleg Demin Jr is going to give a presentation "Implementation of variability or uncertainty in parameter values to validate QSP models." and Ivan Borisov is going to give a talk "Constrained Optimization Approach to Predictability Analysis in Bio-Mathematical Modeling."
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