We use cookies to enhance your browsing experience, serve personalized ads or content, and analyze our traffic. By clicking "Accept All", you consent to our use of cookies.

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.

Always Active

Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

Data for tomorrow

Streamlining the journey from complex data to actionable insights​

Speed up safe and sustainable product development by leveraging the power of AI, knowledge graphs and NLP

Gain access to the most recent and relevant data on disease genomics to accelerate drug R&D and unlock new precision medicine possibilities.

Visit

Natural Language Processing

Our state-of the-art NLP solutions make your textual data searchable, analyzable and actionable. We help you speed up informed innovation with data unlocked from text.

Learn more

AI & Knowledge Graphs

We enable you to reveal insights from complex biological networks providing fine-grained, comprehensive coverage of intricate relationships between biomolecules.

Learn more

DISGENET, the world’s most reliable & extensive gene-disease database

Get immediate access to information comparable to having read over 30 million articles.

Visit
DISGENET - the gene-disease association database user interface

50M+

disease associations

+6,700

citations worldwide

92%

NLP F-score

Est.

2010

MedBioinformatics, expanding DISGENET’s potential

MedBioinformatics is built on over 15 years of life science expertise. We unlock the true potential of your data through cutting-edge methods in data analytics, semantic integration, and NLP. This empowers you to develop innovative and safer products, prioritizing human health and well-being.

Explore our story

What do customers and researchers say about us?

  • “When exploring the DNA methylation of Cri du Chat patients, DISGENET helped me find interesting connections between genes with DNA methylation changes in the promoter and disease phenotypes. This analysis was suggestive of the DNA methylation itself having a role in developing the characteristics of this understudied rare disease.”​

    Visit article​

    Petter Holland, PhD​

    Researcher at Oslo University Hospital, Norway​

  • “We use DISGENET to search for variants that cause rare diseases. The most difficult part of variant searching is finding appropriate references and presenting evidence, and DISGENET’s large and well-structured database makes it easy to find.​”

    June-Young Koh​

    Chief Research Officer & Head of RARE TFT, Inocras​

  • “DISGENET has been a game-changer in our research endeavors. Our project revolves around understanding the consequences of protein misfolding, a phenomenon where proteins fail to adopt their native, functional structure, thereby impacting biological processes and contributing to disease pathology. We wholeheartedly recommend DISGENET to other researchers and colleagues working in similar domains.”​

    Maria F. Anglero​

    Research Assistant, Pennsylvania State University​

  • “When exploring the DNA methylation of Cri du Chat patients, DISGENET helped me find interesting connections between genes with DNA methylation changes in the promoter and disease phenotypes. This analysis was suggestive of the DNA methylation itself having a role in developing the characteristics of this understudied rare disease.”​

    Visit article​

    Petter Holland, PhD​

    Researcher at Oslo University Hospital, Norway​

  • “We use DISGENET to search for variants that cause rare diseases. The most difficult part of variant searching is finding appropriate references and presenting evidence, and DISGENET’s large and well-structured database makes it easy to find.​”

    June-Young Koh​

    Chief Research Officer & Head of RARE TFT, Inocras​

  • “DISGENET has been a game-changer in our research endeavors. Our project revolves around understanding the consequences of protein misfolding, a phenomenon where proteins fail to adopt their native, functional structure, thereby impacting biological processes and contributing to disease pathology. We wholeheartedly recommend DISGENET to other researchers and colleagues working in similar domains.”​

    Maria F. Anglero​

    Research Assistant, Pennsylvania State University​

  • “When exploring the DNA methylation of Cri du Chat patients, DISGENET helped me find interesting connections between genes with DNA methylation changes in the promoter and disease phenotypes. This analysis was suggestive of the DNA methylation itself having a role in developing the characteristics of this understudied rare disease.”​

    Visit article​

    Petter Holland, PhD​

    Researcher at Oslo University Hospital, Norway​

  • “We use DISGENET to search for variants that cause rare diseases. The most difficult part of variant searching is finding appropriate references and presenting evidence, and DISGENET’s large and well-structured database makes it easy to find.​”

    June-Young Koh​

    Chief Research Officer & Head of RARE TFT, Inocras​

  • “DISGENET has been a game-changer in our research endeavors. Our project revolves around understanding the consequences of protein misfolding, a phenomenon where proteins fail to adopt their native, functional structure, thereby impacting biological processes and contributing to disease pathology. We wholeheartedly recommend DISGENET to other researchers and colleagues working in similar domains.”​

    Maria F. Anglero​

    Research Assistant, Pennsylvania State University​

Read the latest articles on our blog

  • DISGENET: The Next Chapter For Disease Genomics Research

    Product June 19, 2024

    From today, DisGeNET.org and DISGENET plus will become one unified platform found at disgenet.com. DisGeNET has become a cornerstone for bioinformatics research since starting in 2010. As a small team, we have dedicated 15 years to this valuable resource and we are committed to continuously improving the platform for you, our users. As you can imagine, […]

  • Anticipating Drug Toxicity: data-driven drug safety with DISGENET

    Article September 12, 2023

    Key points What is flupirtine? Flupirtine, an aminopyridine introduced in 1984 as a non-opioid analgesic for acute and chronic pain, embarked on a tumultuous journey within the medical landscape. Initially approved for broad pain management, its trajectory shifted in 2013 due to concerns over liver toxicity. The European Medicines Agency (EMA) limited its use to […]

  • Genetics for drug and chemical risk assessment

    Article March 9, 2023

    In recent years, there has been an increasing appreciation of the need to consider variability in human populations in evaluating health risks for new and existing chemicals. Recent policies such as The Frank R. Lautenberg Chemical Safety for the twenty-first Century Act (2016) require the US Environmental Protection Agency to evaluate new and existing toxic chemicals with explicit […]

  • Genetic support for FDA approvals in 2021

    Article October 6, 2022

    Key points Human genetics and FDA drug approvals in 2021 There is compelling evidence of the value of incorporating genetic information in the drug development process. A drug target supported by genetic evidence has a 2-fold higher probability of successful clinical development compared to those targets with no genetic support [1]. A systematic analysis of FDA […]

  • Meet our team: Jordi Valls

    Interview May 6, 2022

    Jordi Valls is a Postdoctoral Researcher at MedBioinformatics and experienced in the field of genomic analysis. Dr Valls is currently working on RISKHUNT3R, a European H2020 Project. He is involved in characterising and identifying the adverse effects of chemical compounds on cohorts/target segments depending on their genetic information and variability, through the use of different […]

  • Launch of IHI JU VICT3R Initiative to Revolutionize Nonclinical Drug and Chemical Safety Evaluation with Virtual Controls

    MedBioinformatics Announces Participation in IHI JU VICT3R Initiative to Revolutionize Nonclinical Drug and Chemical Safety Evaluation with Virtual Controls

    News September 16, 2024

    [Barcelona, Spain, September 16, 2024] — MedBioinformatics today announced its involvement in the VICT3R initiative, a groundbreaking initiative aimed at transforming nonclinical drug and chemical safety evaluation. VICT3R is a public-private partnership supported by the Innovative Health Initiative Joint Undertaking (IHI JU), set to significantly reduce the number of animals used in experimental studies. The […]

  • Genetics in Drug Discovery - Key to Clinical Trial Success?

    Genetics In Drug Discovery: The Key To Clinical Trial Success?

    Article August 28, 2024

    By leveraging human genetics to identify drug targets with a proven link to disease mechanisms, the probability of clinical trial success greatly increases [1].  Only 10% of drugs that enter phase 1 clinical trials eventually make it to market [2], primarily due to issues related to efficacy or safety that arise later on. These frequent […]

  • DISGENET for Academics

    DISGENET Academic License: Eligibility, Application & Free Access

    Product August 2, 2024

    DISGENET is the most extensive and reliable gene-disease association network, providing the latest and most relevant data in the field. It was created by MedBioinformatics, and as an academic or not-for-profit researcher, you can access DISGENET’s core biomedical data at no cost. For deeper insights, we offer additional options utilizing state-of-the-art NLP technology. In this […]

  • NLP for Drug Discovery - How DISGENET works

    How DISGENET Uses NLP To Accelerate Drug Development

    Article, Product July 19, 2024

    With DISGENET, you can easily unlock new insights and greatly accelerate your drug development journey. Every year, more than 1 million papers enter PubMed in the biomedical field [1]. While medical knowledge doubles every 73 days and is increasing at an exponential rate with no evidence of slowing [2], drug discovery and development remain a […]

  • DISGENET rebrand - new logos - MedBioinformatics

    DISGENET Rebrand: A Fresh Look, Same Reliable Data for Tomorrow

    News July 8, 2024

    DISGENET — our gene-disease association knowledge platform — was created in 2010 driven by our mission that a greater understanding of human genetics was vital to improve people’s health. With over 100,000 web users, we see you agree. Today, that need for reliable, high-quality genomics data hasn’t faltered, but the way we access data has […]

  • DISGENET: The Next Chapter For Disease Genomics Research

    Product June 19, 2024

    From today, DisGeNET.org and DISGENET plus will become one unified platform found at disgenet.com. DisGeNET has become a cornerstone for bioinformatics research since starting in 2010. As a small team, we have dedicated 15 years to this valuable resource and we are committed to continuously improving the platform for you, our users. As you can imagine, […]

  • Anticipating Drug Toxicity: data-driven drug safety with DISGENET

    Article September 12, 2023

    Key points What is flupirtine? Flupirtine, an aminopyridine introduced in 1984 as a non-opioid analgesic for acute and chronic pain, embarked on a tumultuous journey within the medical landscape. Initially approved for broad pain management, its trajectory shifted in 2013 due to concerns over liver toxicity. The European Medicines Agency (EMA) limited its use to […]

  • Genetics for drug and chemical risk assessment

    Article March 9, 2023

    In recent years, there has been an increasing appreciation of the need to consider variability in human populations in evaluating health risks for new and existing chemicals. Recent policies such as The Frank R. Lautenberg Chemical Safety for the twenty-first Century Act (2016) require the US Environmental Protection Agency to evaluate new and existing toxic chemicals with explicit […]

  • Genetic support for FDA approvals in 2021

    Article October 6, 2022

    Key points Human genetics and FDA drug approvals in 2021 There is compelling evidence of the value of incorporating genetic information in the drug development process. A drug target supported by genetic evidence has a 2-fold higher probability of successful clinical development compared to those targets with no genetic support [1]. A systematic analysis of FDA […]

  • Meet our team: Jordi Valls

    Interview May 6, 2022

    Jordi Valls is a Postdoctoral Researcher at MedBioinformatics and experienced in the field of genomic analysis. Dr Valls is currently working on RISKHUNT3R, a European H2020 Project. He is involved in characterising and identifying the adverse effects of chemical compounds on cohorts/target segments depending on their genetic information and variability, through the use of different […]

  • Launch of IHI JU VICT3R Initiative to Revolutionize Nonclinical Drug and Chemical Safety Evaluation with Virtual Controls

    MedBioinformatics Announces Participation in IHI JU VICT3R Initiative to Revolutionize Nonclinical Drug and Chemical Safety Evaluation with Virtual Controls

    News September 16, 2024

    [Barcelona, Spain, September 16, 2024] — MedBioinformatics today announced its involvement in the VICT3R initiative, a groundbreaking initiative aimed at transforming nonclinical drug and chemical safety evaluation. VICT3R is a public-private partnership supported by the Innovative Health Initiative Joint Undertaking (IHI JU), set to significantly reduce the number of animals used in experimental studies. The […]

  • Genetics in Drug Discovery - Key to Clinical Trial Success?

    Genetics In Drug Discovery: The Key To Clinical Trial Success?

    Article August 28, 2024

    By leveraging human genetics to identify drug targets with a proven link to disease mechanisms, the probability of clinical trial success greatly increases [1].  Only 10% of drugs that enter phase 1 clinical trials eventually make it to market [2], primarily due to issues related to efficacy or safety that arise later on. These frequent […]

  • DISGENET for Academics

    DISGENET Academic License: Eligibility, Application & Free Access

    Product August 2, 2024

    DISGENET is the most extensive and reliable gene-disease association network, providing the latest and most relevant data in the field. It was created by MedBioinformatics, and as an academic or not-for-profit researcher, you can access DISGENET’s core biomedical data at no cost. For deeper insights, we offer additional options utilizing state-of-the-art NLP technology. In this […]

  • NLP for Drug Discovery - How DISGENET works

    How DISGENET Uses NLP To Accelerate Drug Development

    Article, Product July 19, 2024

    With DISGENET, you can easily unlock new insights and greatly accelerate your drug development journey. Every year, more than 1 million papers enter PubMed in the biomedical field [1]. While medical knowledge doubles every 73 days and is increasing at an exponential rate with no evidence of slowing [2], drug discovery and development remain a […]

  • DISGENET rebrand - new logos - MedBioinformatics

    DISGENET Rebrand: A Fresh Look, Same Reliable Data for Tomorrow

    News July 8, 2024

    DISGENET — our gene-disease association knowledge platform — was created in 2010 driven by our mission that a greater understanding of human genetics was vital to improve people’s health. With over 100,000 web users, we see you agree. Today, that need for reliable, high-quality genomics data hasn’t faltered, but the way we access data has […]

MedBioinformatics can help you build a better tomorrow through data. Reach out!

Please enable JavaScript in your browser to complete this form.