{"id":252539,"date":"2025-03-26T09:00:00","date_gmt":"2025-03-26T08:00:00","guid":{"rendered":"https:\/\/gws-sso-test.graphwise.ai\/ai-powered-target-discovery\/"},"modified":"2025-03-26T09:00:00","modified_gmt":"2025-03-26T08:00:00","slug":"ai-powered-target-discovery","status":"publish","type":"page","link":"https:\/\/gws-sso-test.graphwise.ai\/de\/ai-powered-target-discovery\/","title":{"rendered":"AI-Powered Target Discovery"},"content":{"rendered":"\n

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Home<\/a><\/span> \u00bb AI-Powered Target Discovery<\/span><\/span><\/div>\n\n\n

AI-Powered Target Discovery<\/h1>\n\n\n\n

Identify new drug targets and promising drug repurposing candidates quickly, easily and with high confidence<\/h2>\n\n\n\n
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Request a demo<\/span><\/a><\/div>\n\n\n\n
Success story<\/span><\/a><\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
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About Graphwise Target Discovery<\/a><\/div>\n\n\n\n
How does it work?<\/a><\/div>\n\n\n\n
Who is it for?<\/a><\/div>\n\n\n\n
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Graphwise\u2019s Target Discovery helps pharma and biotech companies find the next therapeutic targets in a sea of disconnected data.<\/h2>\n\n\n\n
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Accelerate clinical research at least 10x with AI-powered drug discovery. Easily and quickly mine relevant scientific information and explore new relationships across vast connected data sources<\/li>\n\n\n\n
Enrich your knowledge with an AI-powered therapeutic target database, automatically extracted from scientific publications, patents and study materials<\/li>\n\n\n\n
Utilize your scientific research advanced algorithms to analyze large and complex network relationships between biomedical entities effectively<\/li>\n\n\n\n
Embrace data-driven decision-making in target identification in drug discovery, target assessment and prioritization<\/li>\n\n\n\n
Promote innovation by using a digital pharma platform that adapts to your research and business needs in both new drug target discovery and repurposing of existing drugs<\/li>\n<\/ul>\n<\/div>\n\n\n\n
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“It\u2019s quite hard to go to all EMBL (European Molecular Biology Laboratory) databases and pick out the relevant experimental data. The Target Discovery platform is quite helpful for getting meaningful insights from any information we are interested in.”<\/em><\/p>\nAyesha Khan
Research informatician, Oxford Drug Discovery Institute<\/strong><\/cite><\/blockquote>\n\n\n\n
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“It\u2019s been helpful to get an idea of how to rank and stratify genes, so we would definitely recommend your platform to our colleagues and consider it for use in other projects.”<\/em><\/p>\nDr. Emma Mead
Chief Scientific Officer, Oxford Drug Discovery Institute<\/strong><\/cite><\/blockquote>\n\n\n\n
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“Our experience with [Graphwise] Target Discovery platform has been phenomenal. We initially thought we\u2019d just plug in a set of genes, then get some results, and go and validate them. But it\u2019s reached far beyond that. The platform has all these little tools that we can use to better prioritize candidates or build a stronger rationale”<\/em><\/p>\nMontdher Hussain
Mulligan Lab, Queen\u2019s University<\/strong><\/cite><\/blockquote>\n\n\n\n
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“A big and key piece of the value of Target Discovery was the ranking by targets – that caught our attention. And the willingness of [Graphwise] to work with us to understand our needs was a good part of the choice. They showed how we could use our data, and customized the tool and process to fit our needs.”<\/em><\/p>\nSenior Researcher
Leading US Cancer Research Institute<\/strong><\/cite><\/blockquote>\n\n\n\n
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Accelerate clinical research with AI-powered drug discovery tools.<\/h2>\n<\/div>\n\n\n\n
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Target-Disease Mapping<\/h3><\/div>\n\n\n\n
Discover previously unknown connections between targets and diseases, quickly generate and assess new ideas to guide target identification in drug research and development<\/p><\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n
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Multi-Source Data Integration<\/h3><\/div>\n\n\n\n
Leverage highly interlinked information across various data sources to boost drug development and drug repurposing<\/p><\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n
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Complex Biomedical Data Analytics<\/h3><\/div>\n\n\n\n
Identify biomedical concepts and relationships in both unstructured and structured data to speed up novel therapies<\/p><\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
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About Graphwise Target Discovery<\/h2>\n<\/div>\n<\/div>\n\n\n\n
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The challenge of target identification in drug discovery<\/span>Discovering the next breakthrough drug candidate is a daunting task, involving sifting through vast amounts of biomedical information scattered across different databases and research publications. This process can be time-consuming and difficult to mine, gather and analyze.<\/span><\/div><\/div><\/li>\n\n\n\n
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Centralizing biomedical knowledge<\/span>Graphwise\u2019s Target Discovery solves this by combining all the knowledge about biomedical entities, such as genes, proteins and compounds, into a centralized knowledge graph. The system democratizes data access to AI in biomedical engineering through powerful search tools, presents it in a user-friendly manner, and provides transparent analytics to aid data-driven decision-making.<\/span><\/div><\/div><\/li>\n\n\n\n
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AI-powered preclinical insights<\/span>Using AI for preclinical research provides fast and easy access to facts generally hidden in millions of scientific publications and patents and predictions about novel relations between genes and diseases. The process of selecting the right candidate is further enhanced by comprehensive data provenance and confidence metrics for AI-driven drug discovery.\n<\/span><\/div><\/div><\/li>\n<\/ul><\/div>\n<\/div>\n\n\n\n
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How it works<\/h2>\n<\/div>\n\n\n\n