• Introducing GTAP: A Gene’s Disease Fingerprint, at a Glance

    Every gene in DISGENET is linked to one or more diseases or phenotypes — for some genes, just one; for others, hundreds. Scrolling through those associations tells you what a gene is associated with, but not the more interesting question: what kind of disease profile does that gene have? At the extremes, two very different […]

  • Deeper Context, Sharper Signal: What’s New in DISGENET v26.3

    In this article, we cover: Every DISGENET release adds new ways to see the biology behind a gene–disease or variant–disease association. v26.3 continues that trend with three additions: a new way to profile a gene’s therapeutic relevance, richer context on the evidence behind each association, and a more precise vocabulary for describing how genes and […]

  • Introducing the DISGENET MCP Connector: Making Our Data Native to AI Agents

    In this post, we will cover: For more than a decade, DISGENET has given researchers and pharma teams a way to systematically explore gene-disease associations and scores that can be traced back to their evidence. Today, we’re extending that same trusted data to a new kind of user: the AI agent. Researchers are increasingly turning […]

  • A Complete Guide to DISGENET Scores

    When you search DISGENET, you’re not just retrieving associations; you’re working with evidence. And evidence needs to be weighed, compared, and understood in context. That’s what DISGENET’s scoring metrics are designed to help you do. In this article, we cover: The GDA Score and VDA Score: Your Starting Point The GDA Score (Gene–Disease Association) and […]

  • Evidence Through Time: What’s New in DISGENET v26.2

    In this article, we cover: Scientific knowledge doesn’t arrive fully formed. It accumulates — study by study, source by source, year by year. The question isn’t just what the evidence says today, but how it got there, and how confident you should be at any point in that journey. DISGENET v26.2 is built around that […]

  • From Data to Decision: What’s New in DISGENET v26.1

    Full Traceability: Know Exactly Where Every Association Comes From In research and drug discovery, the source of an association matters as much as the association itself. Provenance — the ability to trace each gene–disease or variant–disease association back to its original database, publication, or evidence type — is what transforms a data point into a […]

  • Advancing Knowledge Extraction in DISGENET v26.1

    The latest update to DISGENET (v26.1) represents a significant step forward in extracting biomedical knowledge from scientific publications. This release is powered by an enhanced Relation Extraction (RE) model operating within a sophisticated, end-to-end NLP pipeline engineered for precision and scale. This system translates millions of biomedical publications into a structured network of gene/variant–disease relationships, […]

  • Choosing the Right Target: Lessons from FDA-Approved Drugs in 2025

    Author: Janet Piñero Why Target Selection Matters Target selection remains a key determinant of success in pharmaceutical R&D, as efficacy and safety issues continue to drive late-stage failures. In 2025, the FDA approved 46 drugs, including 38 protein-targeted therapies and three mRNA-based treatments, providing a real-world snapshot of which targets actually reach the finish line. […]

  • Understanding DSI and DPI: Key Metrics for Interpreting Gene–Disease Associations in DISGENET

    In this article, we cover: As genomic data continues to expand, interpreting the scope of gene–disease associations has become increasingly important.  Within DISGENET, two metrics help bring this clarity — Disease Specificity Index (DSI) and Disease Pleiotropy Index (DPI). These metrics provide important context when exploring gene–disease and variant–disease relationships. This article explains what they […]

  • DISGENET v25.4: What’s New?

    Turning complex biomedical evidence into actionable insights should feel intuitive — not overwhelming. With DISGENET v25.4, we focused on features that make your daily workflows more customizable, more reproducible, and easier to share, without sacrificing depth, evidence quality, or analytical power. DISGENET v25.4 includes: My Score: Your Evidence, Your Ranking Different use cases require different […]