Ardigen

Discover Your Therapeutic Target with daGama

Interested in Target Discovery and Validation? Get in Touch!

Revolutionize your approach to target discovery and validation.

Harness the power of our data universe and machine learning to streamline your path to therapeutic intervention. With daGama, you'll gain the ability to explore, score, and validate therapeutic targets like never before, revolutionizing your approach to drug discovery and development.

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AI & Bioinformatics for Precision Medicine

Interested in AI for drug discovery? Get in touch!

Take a step into the future, where AI bridges the gap between complex biological data and breakthrough discoveries.

Streamline your drug discovery process, identify targets with unprecedented accuracy, and accelerate the journey from lab to patient with our suite of AI-enhanced bioinformatics solutions. Experience the transformative impact of Artificial Intelligence on the precision medicine landscape - making drug discovery more efficient, predictive, and personalized than ever before.

path14

AI & Bioinformatics for Precision Medicine

Interested in AI for drug discovery? Get in touch!

Take a step into the future, where AI bridges the gap between complex biological data and breakthrough discoveries.

Streamline your drug discovery process, identify targets with unprecedented accuracy, and accelerate the journey from lab to patient with our suite of AI-enhanced bioinformatics solutions. Experience the transformative impact of Artificial Intelligence on the precision medicine landscape - making drug discovery more efficient, predictive, and personalized than ever before.

What is daGama?

DaGama is a framework for target discovery and validation. It relies on a vast data universe consisting of organized suites of different data modalities, including omics, images, molecules, curated literature, internal Ardigen datasets, and partner’s datasets. Our cutting-edge models provide unique scientific insights and make accurate predictions of targets with molecular properties. 

The valuable insights gained from daGama's cutting-edge models can be put to the test in a laboratory setting using either pre-existing or newly developed assays, all under one roof and within a single program.

Transforming our future with daGama

Experience the daGama Advantage

Unleash the power of AI in your quest for impactful therapeutic targets. daGama equips you with a plethora of tools and strategies to accelerate target discovery, validation, and optimization. What follows are some of the key advantages you can leverage using our state-of-the-art framework:

  • Prioritize potential therapeutic targets by leveraging AI/ML models, high-throughput profiling, genetic perturbations, and functional genomics data.
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  • Perform docking simulations for a diverse library of compounds and find similarities to other known druggable targets.
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  • Rank your target based on diverse data sources such as genetics, transcriptomics, pathway relevance to uncover indication-relevant biological patterns.
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  • Evaluate the safety of your target based on literature and clinical trial information to de-risk potential side effects using LLM and ChatGPT-based solutions.
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  • Bridge the gap between in vitro and in vivo by predicting drug responses from preclinical models to improve the translatability to human patients.
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daGama's Data Universe:
A Comprehensive Source for Target Discovery

DaGama's distinct advantage lies in its robust and diverse Data Universe, encompassing various types of data sources, each contributing to the accuracy and reliability of target discovery and validation. Let's delve into the distinct types of data sets that feed into our framework:

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  • Omics: Our framework utilizes a comprehensive array of 'omics' data, including genomics, transcriptomics, and proteomics, to understand the molecular signatures associated with disease conditions and potential therapeutic targets.

  • Images: By analyzing biomedical images, daGama can uncover hidden patterns and provide valuable insights into the cellular and tissue-level characteristics related to potential targets.

  • Molecules: A vast collection of molecular data that help us understand chemical properties, structural similarities, and binding affinities of various compounds towards potential targets.

  • Approved Drugs: Information from approved drugs aids us in identifying effective therapeutic intervention strategies and their potential off-target effects.

  • Literature: We mine and curate literature from a multitude of sources with the most advanced Large Language Models (LLMs), such as BioGPT, which provides critical insights and context around the targets, diseases, and therapeutic interventions.
  • Regulatory Documents: These documents provide insights into the regulatory landscape surrounding potential targets and associated interventions.

  • Structured & Unstructured Data: We are capable of extracting meaningful insights from both structured and unstructured data sources. This allows us to capture a broad range of information and context around potential targets.

  • Ardigen Datasets: Our internal datasets, generated through years of research and development, contribute unique insights that enrich our models' performance.

  • Partners' Datasets: Collaborative efforts with our partners augment our data universe, offering an extra layer of depth and perspective.

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  • By collating these diverse data types into one framework, daGama provides an in-depth, holistic view of potential targets, contributing to the accuracy of discovery and the ultimate success of your therapeutic strategies.

The Heart Behind Our Innovation

Behind our advanced solutions is a dynamic team of scientists and technologists, committed to transforming the realm of drug discovery and healthcare. We are not just about creating state-of-the-art AI tools; we're also about fostering a vibrant community, 'Code Against Cancer', to share ideas, insights, and advancements in the fight against cancer. With us, you're not just accessing AI-powered solutions; you're joining a movement dedicated to advancing precision medicine.

 

Revolutionizing Therapeutic Target Discovery: A Deep Dive into the Power of daGama

 

Navigating the intricate world of therapeutic target discovery has become a feat more achievable than ever before, thanks to the advent of artificial intelligence and machine learning technologies. The sheer complexity of biological systems and their interdependencies require intelligent, efficient, and robust solutions that can sift through terabytes of data - encompassing omics, curated literature, images, molecules, and proprietary datasets - to unveil promising therapeutic targets.

 

In the heart of this evolution stands daGama, a groundbreaking framework from Ardigen, revolutionizing target discovery and validation.
Harnessing the potential of AI and ML, daGama provides a data-driven approach to comprehensively understand disease mechanisms, molecular interactions, and signaling pathways. Simultaneously, it aids in the meticulous assessment of potential druggability of identified targets.

  • Equipped with the power to perform docking simulations, daGama enables scientists to find similarities with known druggable targets among a diverse library of compounds. With a capacity to bridge the gap between in vitro and in vivo models, the framework stands at the forefront of precision medicine and AI-powered drug discovery.
    Discover the transformative potential of daGama in the realm of target discovery and validation - where artificial intelligence, machine learning, and scientific insight converge to propel the future of drug discovery.