Graphwise Target Discovery was recently featured in a Wall Street Journal article titled “AI-Powered Databases Boost the Alzheimer’s Drug Discovery Process.”
AI-Powered Target Discovery
Identify new drug targets and promising drug repurposing candidates quickly, easily and with high confidence
Graphwise’s Target Discovery helps pharma and biotech companies find the next therapeutic targets in a sea of disconnected data.
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;
Enrich your knowledge with an AI-powered therapeutic target database, automatically extracted from scientific publications, patents and study materials;
Utilize your scientific research advanced algorithms to analyze large and complex network relationships between biomedical entities effectively;
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;
Ayesha Khan
Research informatician, Oxford Drug Discovery Institute
It’s 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.
Dr. Emma Mead
Chief Scientific Officer, Oxford Drug Discovery Institute
It’s 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.
Senior Researcher
Senior Researcher, Leading US Cancer Research Institute
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.
Montdher Hussain
Mulligan Lab, Queen’s University
Our experience with [Graphwise] Target Discovery platform has been phenomenal. We initially thought we’d just plug in a set of genes, then get some results, and go and validate them. But it’s reached far beyond that. The platform has all these little tools that we can use to better prioritize candidates or build a stronger rationale
Accelerate clinical research with AI-powered drug discovery tools.
Discover previously unknown connections between targets and diseases, quickly generate and assess new ideas to guide drug research and development.
Leverage highly interlinked information across various data sources to boost drug development and drug repurposing
Identify biomedical concepts and relationships in both unstructured and structured data to speed up novel therapies
About Graphwise Target Discovery
The challenge of drug discovery
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.
Centralizing biomedical knowledge
Graphwise’s 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.
AI-powered preclinical insights
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.
How it works
LinkedLifeData Inventory
Leverage pre-configured data sources from Graphwise LinkedLifeData inventory that covers concepts such as genes, proteins, drugs, pathways, clinical trials, scientific literature, patents, etc.
Knowledge graph enrichment via NLP
Automatic extraction of relationships from leading scientific databases, such as Pubmed and Google Patents, to provide a comprehensive understanding of the concepts that are crucial for your research and decision making. Our AI tools provide accurate, reliable, and up-to-date information about millions of biomedical facts.
Data exploration that is easy to use and does not require technical expertise
- Design and customization that prioritizes the needs and preferences of the user;
- Providing transparent results to a wide range of access points;
- Includes metadata with detailed information about the origin and credibility of each result, and allows for customizable ranking options.
Powerful and configurable analytics
- Unlock the potential of AI-powered drug discovery for your research. Utilize our advanced tools that use knowledge of genes, proteins, and diseases to identify new therapeutic targets with precision and efficiency;
- Maximize the potential of your data with our ranking and clustering algorithms;
- Unlock the full potential of your custom machine learning algorithms by integrating them seamlessly into our platform. Our flexible architecture allows you to plug in your own algorithms to extract even deeper insights from your data;
Who can benefit from Graphwise Target Discovery?
Scientists and Researchers
Typically, it’s challenging to find relevant information in the vast amount of scientific publications and make sense of both public and internally produced data. Target Discovery helps minimize difficulty in deciding what assays to prioritize based on all available information.
Pharma companies
Research
Organize and semantically connect your disparate data to reveal hidden relationships and unlock deeper insights.
Related Resources
Graphwise Target Discovery solution helped Oxford Drug Discovery Institute accelerate target analysis and decision-making
How we used Graphwise GraphDB and LLMs to improve CV selection
LLD Inventory forms the semantic foundation for Graphwise Target Discovery solution.