Mcule and DiaDEM: adapting a drug‑discovery marketplace to accelerate organic electronics

Brussels, March 7th 2023
Summary
  • Mcule began in 2011 as an online aggregator for purchasable chemical compounds used in drug discovery and has since expanded into materials discovery.
  • Through the EIC Transition project DiaDEM, Mcule is partnering with the University of Liverpool and Nanomatch to apply virtual screening and supply chain integration to organic electronics.
  • DiaDEM aims to be a one‑stop platform linking virtual candidate selection to experimental verification and procurement, addressing the limited commercial databases available for organic semiconductors.
  • Mcule’s rapid growth exposed management and organisational challenges that the team says required different skills than engineering alone.
  • Technical and commercial risks remain including model validity, experimental validation, supply chain readiness, intellectual property and market fit.

From drug discovery aggregator to a digital materials marketplace

Mcule launched in 2011 in Budapest with the explicit aim of building an online drug discovery platform that combined a high quality purchasable compound database with molecular modelling tools. The founding idea addressed a practical gap in research workflows. Academic and industrial groups needed a faster way to identify candidate molecules and to obtain physical samples without searching dozens of supplier catalogues. Mcule positioned itself as an aggregator of chemical supplier catalogues and a provider of cloud based molecular modelling and procurement services.

Marketplace analogy:Mcule compares its service to hotel marketplaces such as Booking.com. Rather than visit each supplier individually researchers can query a single platform to find purchasable compounds, then run virtual screens and order samples. That integration of searchable inventory, modelling tools and procurement is the company’s core proposition.

DiaDEM: moving the approach into organic electronics

Having established traction in drug discovery, Mcule took the core idea of searchable purchasable chemical space and applied it to a different domain. The DiaDEM project is an EIC Transition initiative that aims to deliver a digital discovery platform for organic electronics. The stated ambition is a one stop solution that couples virtual screening for electronic and optical material properties with the chemical supply chain so candidates can be ordered and tested in the lab quickly.

Why organic electronics needs a discovery platform:Fields such as OLEDs, organic photovoltaics, organic transistors and sensors require new small molecule and polymeric materials. Unlike pharmaceutical lead discovery, those communities lack broad, high quality purchasable compound catalogues tied to predictive property data. DiaDEM seeks to fill that gap by enabling researchers to search for molecules with desirable optoelectronic and manufacturing attributes, refine candidates with modelling and then source them.
Who is in the consortium:DiaDEM is a collaboration between Mcule, the University of Liverpool’s Materials Innovation Factory and Nanomatch GmbH. The University of Liverpool group led by Alessandro Troisi contributes expertise in computational models for organic electronic materials. Nanomatch supplies multiscale simulation tools to translate molecular properties to device level performance. Mcule supplies the purchasable compound infrastructure and cloud based workflow tools.
PartnerRole in DiaDEMNotable expertise or contribution
Mcule (Hungary)Platform and compound sourcingHigh quality purchasable compound database, cloud modelling tools and procurement service
University of Liverpool - Materials Innovation FactoryScientific modelling and methodsVirtual screening methods for organic electronics led by Alessandro Troisi
Nanomatch GmbH (Germany)Multiscale simulation and device modellingParameter free predictive simulations to bridge molecule to device performance

How the technical workflow is described

Virtual screening:Virtual screening in DiaDEM means using computational chemistry and data driven models to predict optical, electronic and manufacturing related properties for large numbers of candidate molecules. The goal is to prioritise molecules likely to meet device specifications before any wet lab work.
Multiscale modelling:Nanomatch and Troisi’s group use multiscale approaches to translate molecular scale properties into device level metrics such as charge transport, mobility and exciton behaviour. Multiscale modelling attempts to connect quantum chemical calculations with mesoscopic transport simulations to flag bottlenecks and suggest promising chemistries and device architectures.
Linking virtual and physical:A key claim of DiaDEM is it will 'break the digital physical divide' by linking the outcome of in silico discovery to the chemical supply chain. That means, after virtual prioritisation, researchers would be able to order candidate compounds or precursors for experimental verification and iteration.

The DiaDEM project website highlights a number of case studies and tools. These include property databases that the project reports as covering tens of millions of compounds, methods for predicting pricing and accessibility, and simulation tools to evaluate issues such as emitter shielding in OLED host systems, charge carrier mobility in amorphous layers and design ideas for TADF emitters.

Promises and the practical risks to validate them

Digital discovery platforms can accelerate R&D but they come with well understood challenges. Predictive models must be calibrated and validated with experimental data. Data quality for purchasable compounds varies between suppliers. Supply chain readiness for niche organic electronic materials is weaker than for common screening compounds in life sciences. Intellectual property and freedom to operate can constrain which molecules can be commercialised. Finally there is the usual commercial challenge of finding paying customers beyond early adopters.

Model validity and experimental verification:Computational predictions for optoelectronic properties depend on the choice of quantum chemical methods, force fields and device scale assumptions. Multiscale chains amplify uncertainty. DiaDEM’s claimed value therefore depends on robust benchmarking and routine experimental follow up. The project includes links to experimental partners and case studies but broader external validation will be needed for commercial uptake.
Supply chain and compound accessibility:Mcule’s strength is its purchasable compound database and procurement pipeline. Extending that capability into organic electronics faces materials that are often custom synthesised or covered by patents. The DiaDEM platform mentions price prediction tools and alternatives to retrosynthesis based accessibility metrics. Those are useful but they do not remove real world lead times and synthetic complexity for many candidate molecules.

A balanced view is that DiaDEM combines complementary assets. Mcule’s procurement and database experience matters. Liverpool offers domain specific modelling methods. Nanomatch provides device level simulation expertise. But turning that combination into a widely used product will require sustained effort on validation, user experience for materials scientists, commercial partnerships with suppliers and clarity over licensing and IP around discovered candidates.

Scaling pains and organisational lessons

Mcule’s early growth exposed managerial challenges that are often glossed over in technical narratives. The company expanded from a five person founding team to about forty staff. The founders emphasise that hiring engineers and keeping product quality are necessary but insufficient. Building a company requires management skills, listening and translating academic knowledge into customer focused products.

A management adage:One of Mcule’s managers advised new leaders you have two ears and one mouth. The point is to listen more than you speak and seek to understand customers and colleagues rather than impose solutions.

Support from EIC and EU funding context

Mcule and the DiaDEM consortium participated in EIC Innovation Bootcamps and the project is an EIC Transition initiative. The DiaDEM project page also notes funding from Horizon Europe under grant agreement No. 101057564. The team reported later engagement with the EIC Coaching Programme to refine business strategy. Such EU support is common for deep tech projects that combine academic methods with commercial platforms and can provide valuable access to coaching, validation networks and follow on funding.

People, culture and small details that matter

The original EIC Coffee Break interview is as much about people as technology. Mcule’s team discussed reading habits and inspirations. One business book cited was The Second Curve by Charles Handy, which argues organisations must reinvent themselves before current success becomes a liability. Other favourite reading was non business literature reflecting the eclectic interests of the team. When asked which leader they would choose for a business lunch Mcule’s representatives mentioned Tim Cook, a Nobel laureate and even the Pope as interesting conversational partners for ideas rather than straight business tactics.

What to watch next

DiaDEM is an example of a wider trend. Platforms that combine purchasable chemical space, predictive modelling and procurement are expanding beyond life sciences into materials and electronics. The proposition is sensible. Faster in silico screening with seamless procurement could shorten discovery cycles. The critical tests will be external experimental validation across diverse problems, the ability to supply or synthesise suggested candidates at reasonable cost and pace, and clear revenue models for a platform that must serve materials scientists rather than traditional medicinal chemists.

Observers should look for independent benchmarking of DiaDEM predictions, early case studies that progress from virtual hit to lab validated device result, and commercial partnerships with materials suppliers. The combination of academic modelling, SME device simulation and a commercial aggregator is promising. It is also ambitious. Delivering on the full promise will take rigorous validation, patience and pragmatic adjustments to product market fit.