Here's what visitors see about you right now.
Your profile on Life Sciences Digital — and the pages for each of your products — were compiled from publicly available materials. We take care to get it right, but nobody knows ModelMole the way you do, and some of what visitors read today may be out of date or wrong. Claiming the profile lets you correct it directly.
Company description
ModelMole is an AI drug discovery company founded in 2023 and headquartered in the United Kingdom. The company develops an autonomous, infrastructure-agnostic platform for molecular design and optimisation, combining physics-based computational chemistry with machine learning to discover novel therapeutic candidates. ModelMole serves clients across oncology, antimicrobial development, regenerative medicine, and cosmetics, and is registered in England and Wales (No. 14909542).
The company's stated mission is to empower organisations to explore unknown chemical space and discover new drugs by drawing on expertise across chemistry, physics, machine learning, and software development, with the aim of enabling medicines and platforms that deliver societal and environmental benefit.
Core Platform and Technology
- Built around a proprietary swarm AI system that orchestrates multiple models in parallel, cross-referencing predictions to quantify confidence levels.
- Automatically fills data gaps using molecular dynamics, quantum mechanical, and docking calculations.
- Incorporates an automatic active learning loop that iteratively improves predictions with each problem solved, allowing the platform to explore sparse regions of chemical space where conventional ML models typically fail.
- Fully autonomous and infrastructure-agnostic, capable of running on environments ranging from enterprise compute clusters to a single workstation.
- Supports the full discovery pipeline, including drug design, delivery, formulation, stability, and optimisation.
Active Research Programmes
- Targeted radiotheranostics for oncology applications.
- Antimicrobial peptides and peptide-drug conjugates.
- Transcription regulator discovery.
- Collagen repair peptides for soft tissue regeneration.
Publications, Partnerships, and Support
- Research is published in peer-reviewed journals including the Royal Society of Chemistry's Physical Chemistry Chemical Physics (PCCP), the Journal of Physical Chemistry Letters, Cell, and Angewandte Chemie.
- Supported by UK Research and Innovation (UKRI).
- Maintains academic partnerships including with the Royal Society of Chemistry.
AI-generated · replace with your own
Every part of your profile.
Your company page and every software page attached to it. Nothing is held back — a premium profile includes all of it.
Accuracy
Your own descriptions
Replace the AI-generated summary with your own words — for your company and for every product you list.

Discovery
Classification & search
List your software under up to three domains and subdomains, and appear in search as a company, not only as a product.

Evidence
Case studies
Published outcomes with images and links to the full write-up. Add as many as you need, edit them anytime.

Product
Image gallery
Screenshots of the actual interface, in a gallery visitors can open full-size.

Next step
Call-to-action
A dedicated block that sends visitors where you want them — a demo, a trial, or a contact form.

And more:
Basic listing vs premium profile
There are no tiers. Everything below is included with a premium profile, across your company page and every software page attached to it.
Basic
Premium
Basic
Premium
Basic
Premium
Basic
Premium
Basic
Premium
Basic
Premium
Basic
Premium
Basic
Premium
Basic
Premium
Basic
Premium
Basic
Premium
Basic
Premium
Basic
Premium
Basic
Premium
Basic
Premium
Basic
Premium
Three steps away.
01
You reach out
Fill in the form below with a few details about your company.
02
We talk
A short call or an email thread, whichever you prefer. We answer your questions and agree on the details.
03
You get access
We set up your login. From there you can edit everything and publish when you are ready.
Ready to claim the ModelMole profile?
Send a short note and we will get back to you.