MultiDIP®
In silico platform to predict and characterize


« In silico technologies are generators of knowledge. They enable us to understand specific molecular properties in the context of experimental data. They enable us to understand the structure and function of a therapeutic target for compound design. Thus, it is possible to predict, evaluate, and select the best candidate molecules based on specific physico-chemical parameters. We can also improve them ».
Philippe Manivet, Scientific Advisory Board President
A unique in silico platform

MultiDIP® is an in silico service platform that can be used to evaluate, select, and optimize molecules before they are synthesized. It can also be used during clinical trials for repositioning, as well as for patient categorization.
All the data and models of MultiDIP® have been experimentally validated by peer-reviewed sources, as well as the clinical and scientific research teams at BioQuanta.
MultiDIP® addresses the molecular design needs of the pharmaceutical and cosmetics industries. It can also be applied to the needs of companies affected by REACH. It is unique in the world in terms of accuracy, reliability, flexible deployment, and degree of automation.
An essential in silico platform

Thanks to multidimensional pharmacophore technology, MultiDIP® can generate toxicity predictions with reliability unmatched by anything on the market.
MultiDIP® can be integrated as a decision guidance tool to give the go/no-go on compound development, give a structural basis for lead optimization, or give indications on how to reposition an existing drug for a new pathology.
MultiDIP® is a reliable alternative to animal testing, and can substantially reduce the risk of late-stage attrition, or even withdrawal from the market.
The advantages of MultiDIP®
Technical features
- A realistic pharmacophore based on molecular modeling.
- An extensive pharmacophore database of toxic compounds (>1.7 million pharmacophores).
- An extensive bibliographic system for an expert understanding of the biological context.
- Characterization of toxicity and ADME parameters.
- Reliable results: toxicity predictions are 95% accurate on 22 highly relevant endpoints.
- Molecular properties (activity, bioavailability) can be predicted and optimized in silico before any chemical synthesis.
Decision guidance
- Predictive de-risking from the very first stage of discovery.
- Understanding protein-ligand interactions at the molecular level.
- Modeling and prediction results are provided with bibliographic references for an understanding of the biological context.
To learn more about MultiDIP®, discuss specific needs or request a quote
This e-mail address is being protected from spambots. You need JavaScript enabled to view it