Omics Data Analysis.
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PandaOmics is Target ID
Actionable Target Identification
Discover disease targets with Omics data, publications, clinical trials, and more. Our AI prioritizes genes using our comprehensive multi-modal AI models based on your preferences for novelty, safety, and the presence of existing drugs. Upload your in-house Omics data to refine the ranking.
Target Evaluation
Once you have a short list of targets, PandaOmics helps you systematically evaluate all the background evidence on the discovered association.

Analyze molecular and text evidence connecting the target and the disease.
Target Attention Prediction
Evaluate how the interest in a gene changes over the years. PandaOmics evaluates trends and forecasts attention growth in the upcoming years.
PandaOmics is Data Analysis
Omics Data Analysis
Use our normalized and annotated Omics data collections. Focus on data analysis and interpretation, not on pre-processing and hosting. Run target identification, indication, and compound prioritization; analyze differential expression to prioritize significantly under or over-expressed genes in sample groups.
Pathway Analysis
Find molecular processes affected by disease with our proprietary iPanda algorithm. Pathway analysis helps you gather insights into the disease process and its mechanisms. Use readily available Omics data or upload your custom data.
Biological Knowledge Graph
PandaOmics leverages large language models to provide insights into scientific knowledge about genes and diseases. We visualize relevant scientific papers with a Knowledge Graph to quickly find relevant papers.

Save time on literature reviews by using our ChatPandaGPT to get answers to your questions quickly.
Gene-Disease Association Report
Summarize all relevant information about gene-disease association into a comprehensive report. Understand relevant papers, Omics evidence, mechanism of action, competitive landscape, and suggested path to market.
PandaOmics is Knowledge Base
  • 1.3M
    Disease-specific
    Omics samples
    A full spectrum of Omics data generated by the scientific community
  • 15K
    Clinical-stage
    Compounds & Biologics
    Compounds from Phase 1 to FDA-approved drugs
  • 3.2M
    Grants
    Life sciences research grant funding
  • 5.5M
    Patents
    Patents covering the life sciences industry
  • 998K
    Clinical Trial Records
    Explore extra knowledge related
    to the clinical trials design
  • 47M
    Publications
    Published biomedical research results
Learn more about PandaOmics
in our Application Note
PandaOmics:
An AI-Driven Platform for Therapeutic Target and Biomarker Discovery
Journal of Chemical Information and Modeling
February 25, 2024
Disease Modeling
and Target Discovery
Course
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Case Studies
A small-molecule TNIK inhibitor targets fibrosis in preclinical and clinical models
We identify TRAF2- and NCK-interacting kinase (TNIK) as an anti-fibrotic target using a predictive artificial intelligence (AI) approach.
Hallmarks of aging-based dual-purpose disease and age-associated targets predicted using PandaOmics AI-powered discovery engine
In this study, we used a variety of target identification and prioritization techniques offered by the AI-powered PandaOmics platform, to propose a list of promising novel aging-associated targets that may be used for drug discovery.
Testimonials
We have had discussions with several AI startups and Insilico Medicine is the only company which provides excellent service not only with collaboration but also with software license. PandaOmics enabled us to analyze Microarray or RNAseq data easily and quickly. We are satisfied with its usability and the results generated from Insilico's software. We think PandaOmics is a worthwhile software for target identification. We also greatly appreciate their kind support. They are professionals, and always answer our questions quickly, precisely and kindly.

As we work to accelerate our understanding of diabetes and other diseases, PandaOmics is just the resource we sought to help us quickly access, analyze, visualize and interpret externally available data effectively to drive our research efforts. This new platform empowers our scientists to expedite biomarker identification, repurpose existing therapeutics and discover new drugs.
Dr. Daniel Robertson
Vice President of Digital Technology at the Indiana Biosciences Research Institute

Collaborations
April 23, 2024
November 8, 2023
December 1, 2022
15 October, 2020
14 April, 2020
14 January, 2020
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