Virtual R&D is the delivery of medicines R&D using multiple best-in-class partners, ensuring the critical value-based experiments are done by the right people, data is captured, and IP-estate is secured.
The UK has a wealth of private and public sector assets to support modern medicines R&D from new concept to proof of concept in patients. These include a vibrant and dynamic network of R&D companies, research organisations, the NHS, world-class institutes and universities.
However, this complex landscape can be challenging for industry to navigate, particularly for SMEs, translational academics and charities. This can restrict access to current, industry-quality advice and to specialised services. This impedes translation of assets that could be licensed or financed by larger industry. New innovations therefore fail to make it to patients.
At Medicines Discovery Catapult, our mission is to accelerate drug discovery, and help transform ideas into better medicines for patients, faster. To enable this at scale we are mapping, curating and using national networks to help SMEs and charity-led drug Discovery Syndicates access the expertise and resources they need quickly and efficiently.
Our Virtual R&D platform uses a unique national network of up-to-date industry-skilled consultants and service providers to deliver three essential elements:
- Expert Advice Service
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- UK Capability Map
Identification of the resources which can best deliver the quality results the program needs
- Virtual Programme Management
Industry experienced project, contracting, and logistics management of the multiple partners and effective capture of both data and IP
To deliver value to finance, biotech, academia and charities through:
- Rapid, independent diligence of programmes throughout the R&D value chain
- Creation of agile, industry-relevant R&D project plans and achievable IP estates
- Efficient management of multiple R&D delivery partners across portfolios of projects at scale
- Best practice training and development in modern medicines R&D processes