Atomistic Insights applies a physics‑driven AI platform to model protein dynamics, giving drug developers a complete view of protein function and enabling the targeting of previously undruggable sites. By simulating full conformational landscapes, the technology helps reduce trial‑and‑error in lead optimization and lowers toxicity risk in new therapeutics. The platform is designed for pharmaceutical teams seeking data‑rich insights to accelerate discovery and improve safety profiles.
Funding
Funding not disclosed
Founders
Product
Problem
Drug discovery relies on static protein structures, which overlook the dynamic motions that govern binding and function. This leads to trial‑and‑error screening, high attrition rates, and difficulty targeting proteins deemed “undruggable.”
Solution
Atomistic Insights offers a physics‑driven AI platform that simulates protein dynamics at atomic resolution, providing a complete picture of how targets move and interact over time. By integrating molecular physics with machine‑learning models, the platform predicts transient binding sites and functional conformations that are invisible to conventional structural methods. Researchers can explore these dynamic landscapes to identify novel, druggable pockets and assess potential off‑target effects early in the discovery process. The resulting insights enable more rational design of safer, more effective therapeutics and shorten the early‑stage development cycle.
Target Audience
Primary customers are pharmaceutical R&D teams and biotech companies focused on early‑stage target validation and lead optimization, particularly those working on challenging or historically undruggable proteins.
Features
- High‑fidelity molecular dynamics simulations accelerated by AI to capture micro‑second to millisecond protein motions
- Automated detection of transient and cryptic binding sites across conformational ensembles
- Predictive models for ligand binding affinity and selectivity that incorporate dynamic protein states
- Visualization tools that map functional motions and highlight druggable hotspots for medicinal chemists
- Cloud‑based workflow that scales simulations on demand and integrates with existing cheminformatics pipelines