Expanding the frontiers of synthetic lethality

Better molecules, by design

Discover the platformDiscover the pipeline
What we do

Evariste is an AI-enabled Drug Discovery company

We develop small molecule therapeutics targeting
synthetic lethal pathways in oncology

Novel Targets

We discover novel synthetic lethal targets and biomarkers, tailoring treatment to underserved patients in an industry fixated on the same old approaches

Better Molecules

Our automated modeling designs high quality, differentiated small molecule candidates at unprecedented scale, speed, and efficiency

Platform

Frobenius is Evariste's AI drug discovery platform.

Using Frobenius, we de-risk and progress projects with unrivaled efficiency.

Each stage of our platform has been validated in challenging internal and collaborative projects

Frobenius Target

Identification of Novel Synthetic Lethal Targets and Biomarkers

We integrate multi-modal data to identify novel drug targets and biomarkers, particularly focusing on synthetic lethal relationships in oncology.

Our proprietary algorithms analyze large multi-omic datasets to uncover actionable targets, which are validated in disease-relevant models to ensure clinical relevance and guide patient stratification. 

This approach has led to the discovery of multiple novel synthetic lethal targets with early validation and biomarkers for existing targets, alongside the creation of a clinically-annotated dataset for cancers with high unmet need, paving the way for next-generation therapies.

Frobenius Discovery

Small Molecule Drug Design

We start by combining advanced hit-finding techniques, from trillion-compound virtual screens to covalent fragments, with proprietary algorithms to identify novel hits, including for undrugged target families.

Our machine learning models excel at working with small, noisy datasets, enabling efficient design and scoring of small molecules at an unparalleled scale. After finding initial hits, we use probabilistic modeling for multi-parameter optimization across potency, selectivity, and pharmacokinetics to prioritize drug candidates for testing to minimize preclinical risks.

This integrated approach, leveraging both wet-lab and in silico data, has achieved best-in-class potency and selectivity in fewer than 50 compounds, delivering a roughly 10-fold potency increase for every 30 compounds tested.

Pipeline

Using Frobenius, we have developed a pipeline of precision oncology therapeutics

Our pipeline features best-in-class inhibitors of validated synthetic lethal targets expanded to new indications, and first-in-class inhibitors of novel targets

Early
Discovery
Hit-to-Lead
Lead
Optimization
IND
Enabling
Ownership
PKMYT1
Novel SL Biomarker
Evariste
VRK1
VRK2-low Cancers
Evariste
Novel SL Target
Haem Malignancies
Evariste
10+ Synthetic Lethals
Multiple Indications
Evariste

PKMYT1 inhibitor

Targeting PKMYT1 drives synthetic lethality in cancer cells with high replication stress. We have identified and validated a novel biomarker for PKMYT1 with an expanded and differentiated patient population, and nominated a development candidate that is well-tolerated and efficacious in multiple relevant tumor models.

VRK1 inhibitor

VRK1 inhibition is synthetic lethal with VRK2 under-expression. We have identified and validated this synthetic lethal relationship, implicating VRK1 as a highly ranked target in glioblastoma and neuroblastoma. There are no clinical competitors for this target, and we have designed potent inhibitors optimized for CNS permeability.

Novel SL Target

Undisclosed metabolic enzyme target for heavily pretreated hematological malignancies. We have identified a new synthetic lethal target present in a subset of acute myeloid leukemia and diffuse large B-cell lymphoma patients, as well as in HR-deficient solid tumors. We have designed the first ever inhibitors for this target.

Team

We are an exceptional team with expertise spanning drug discovery, mathematics, and AI

Join Us

Anna graduated pre-med from Northwestern University as a neuroscience major. Post pre-med, she studied computer science. She previously helped businesses implement digital tools at a tech consulting company. She now applies her background knowledge in both computer science, business and science to run Evariste.

Anna Hercot
Anna Hercot
CHIEF EXECUTIVE OFFICER

Alfie received a PhD in Medicinal Chemistry from Newcastle University, where he worked on fragment based drug discovery. He then moved to the Institute of Cancer Research, working on lead optimization of PPI inhibitors. Alfie has worked on a variety of targets including kinases, bromodomains, sulfatases, PPIs, and E3 ligases.

Alfie Brennan
Alfie Brennan
CHIEF SCIENTIFIC OFFICER

Oliver studied for his Mathematics PhD at Oxford. He worked on developing new data analytic tools to describe the topology and geometry of data sets with interesting spatial structure, as well as the asymptotic topological properties of random simplicial complexes. Oliver develops statistically robust models applied to drug discovery.

Oliver Vipond
Oliver Vipond
HEAD QUANT

Daniel received a PhD in Cell and Molecular Biology from the Francis Crick Institute, studying the signalling dynamics of the TGF-β family, before working with AstraZeneca to develop therapeutic antibodies. He then worked at the Institute of Cancer Research, where his work focused on understanding the mechanism of action of molecular glue-like small molecules.

Daniel Miller
Daniel Miller
PRINCIPAL SCIENTIST BIOLOGY
Board of Directors

We are advised by a board of world-class scientists and visionary leaders, each bringing unparalleled expertise and commitment to Evariste

Zoë Walters is a lecturer in translational epigenomics in the school of Cancer Sciences and is a Module Lead on the MSc Genomics course within the Faculty of Medicine at the University of Southampton. Zoë is a highly experienced cancer biologist whose expertise lies in target identification and validation in cancer and developmental disorders. Zoë has 18+ years' experience in molecular genetics, developmental biology, and cancer biology.

Zoë Walters
SCIENTIFIC DIRECTOR

Nicholas Firth studied for his PhD in Chemoinformatics at the Institute of Cancer Research, where he developed de novo design software that implemented a fragment-based approach to explore chemical space. Nick has a deep understanding of many computational chemistry algorithms, feature engineering and machine learning for molecules.

Nicholas Firth
DIRECTOR

Contact us

Evariste is always looking for partners interested in collaborations that utilize our platforms, or licensing deals for our innovative pipeline assets.

We also welcome enquires from investors who wish to join us on our journey to transform drug discovery and the field of synthetic lethality.

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News & updates

Stay updated with Evariste's blogposts

News & updates

Stay updated with Evariste's blogposts

News & updates

Stay updated with Evariste's blogposts