THE DISCOVERY OF NEW PHARMACOLOGICAL TREATMENTS FACES A MAJOR OBSTACLE

– Partial view of information, lack of reliability and predictive power –

A vast  but fragmented body of scientific literature

The scientific literature is fragmented

Needs to be deciphered into simpler messages 

Literature to be deciphered into simpler messages

OUR PREDICTIVE PLATFORM DEVELOPED FOR TARGET IDENTIFICATION

Existing solutions are comparable to "high-throughput" screening of compound libraries using mathematical tools with low predictive power and anticipation of efficiency.

Strong predictive power of the CXS platform
Strong predictive power of the CXS platform
Recommendations generated by the CXS platform

RECOMMENDATIONS GENERATED

Relevant biological targets or pathways, molecules with real therapeutic potential, methods for using the molecules to create intellectual property.

Added value of the CXS platform

ADDED VALUE

Strong predictive power, analysis speed and depth, highly effective alternative to large-scale screening, synergies identification to optimize the drug candidate patentability.

A SEARCH FOR SYNERGIES TO OPTIMIZE THERAPEUTIC VALUE AND SECURE INTELLECTUAL PROPERTY

How the CXS platform works

+ Ability to prepare the in vitro POC and protecting innovation (patent application)

INNOVATIVE DRUG CANDIDATES ALREADY IDENTIFIED BY OUR PLATFORM

Drug candidates discovered by the CXS platform
Drug candidates discovered by the CXS platform

Our bioinformatics platform overcomes the potential limits of traditional drug repurposing and generates new synergistic and patentable candidates.

OTHER ALGORITHMS UNDER DEVELOPMENT TO OPTIMIZE PRE-CLINICAL TRIALS

Second observation Preclinical data are rich but insufficiently exploited and animal experimentation is essential but requires rational and informed planning.

Prediction of experimental design

OBJECTIVE | Optimize preclinical experimental stages by leveraging internal CRO data on incurable and debilitating diseases


HOW IT WORKS  | Analysis of internal databases and automated recommendations using a dedicated algorithm

GENERATED RECOMMENDATION

Optimal experimental protocol

Experimental design prediction tool

Preclinical in silico modeling

OBJECTIVE | Simulating the effect of therapeutic candidates in silico to improve preclinical predictability of available models


HOW IT WORKS  | Dynamic physiological models and anticipation of therapeutic effects before in vivo trials

GENERATED RECOMMENDATION

Doses, routes of administration, and models

Preclinical in silico modeling tool

THE PARTNERS BEHIND CXS THERAPEUTICS

Collaborators with complementary expertise, working together to develop an integrated approach to discovering new treatments.

Guillaume Brachet

GUILLAUME BRACHET

Partner and President

Hospital pharmacist, researcher and expert in biopharmaceuticals, vaccinology and pharmacology, consultant in pharmaceutical innovation.

Nadine Mackenzie

NADINE MACKENZIE

Partner and Medical Director

Rheumatologist, medical director in the pharmaceutical industry for 20 years, and former member of the Management Committee of LEO Pharma France.

Anthony Alioui

Anthony Alioui

Partner and CSO

PhD in genetics and molecular physiology, founder of MS PEDAGO (health promotion organization) and expert in educational engineering and communication.

Philippe Nussbaumer

PHILIPPE NUSSBAUMER

Partner

Expert in the creation and development of innovative companies, co-founder of the biotech company ALAXIA, co-founder of an early stage Deeptech investment fund.

Djamchid Dalili

DJMACHID DALILI

Partner

Polytechnic and PhD in nuclear physics, founder of the 3W Academy (developer school), founder and CEO of medtech DIAMPARK (Parkinson disease dedicated tool).

Gabrielle Gache

GABRIELLE GACHE

Partner

Master's degree in economics and MBA (HEC). Market access and pharmaceutical B-Dev. for 30 years. Member of the Board of Directors of the Swiss licensing group from 2015 to 2022.

Gregory Arbia

Gregory Arbia

Partner and CFO

Doctor of Applied Mathematics. Expert in business development and financing for research companies. Co-founder of CHOICE Consulting.

Daniel Baron

DANIEL BARON

Genomic data scientist

Doctor of Science in Genetics and Genomics. Head of the platform for predicting and screening innovative drug candidates at CXS Therapeutics.

Madeleine Murray

MADELEINE MURRAY

Data analyst / Developer

Doctorate in bioinformatics. Database analysis specialist and software developer.  Head of Programming and AI at CXS Therapeutics.

Find out more about the Parkinson's hit on SAPPIENS


SAPPIENS is a subsidiary created following the identification of this first drug candidate by CXS Therapeutics. Its objective is to carry out the pharmaceutical development of a first neuroprotective treatment, the CXS003.

THEY SUPPORT US

Our team is available to answer your questions and support you in your projects.









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