Rational drug design

Mosaic Portrait applies completely formal and objective procedures in the analysis of compounds structure, using very simple descriptors. This results in the generation of new specific patterns, which are straightforward, comprehensible and easy to implement. New patterns also provide numerous hypotheses on the structure-activity relationship for further scientific interpretation.

Mosaic Portrait method makes the most efficient use of the available information, thus minimizing the number of bench experiments and providing solid basis for cost-effective, rule-guided systematic “in silico” analysis and design of potential lead compounds with an extremely low level of false-positives

Identification of bio-marker patterns in diagnostics and prognostics

Many clinical tests that rely on single diagnostic biomarkers possess very low positive predictive values due to the biologic heterogeneity and methodological background noise.

Mosaic Portrait evaluates biomarkers within a selected set of other features and identifies new patterns exclusively specific for each disease. When presented together, these patterns provide highly sensitive and specific results in diagnostics and prognostics.

Patients selection and clinical trial recovery

Mosaic Portrait models can perform profiling of patients who respond favourably to an administered drug. The profiling is based on the identification of new, previously unknown differential sub-syndromes including individual features, which are specific only for this type of patients.

Accurate selection of suitable patients allows the initiation of correct and targeted treatment and improves both the rates of recovery and survival, as well as reducing overall treatment costs.

Drugs, that are failing to meet clinical trial endpoints, may succeed within this more targeted setting.

Identification of genetic linkage

Despite detailed and extensive study of the full human genome, the linkage between genetics and disease is only poorly understood. The underlying reason for this is that pathology is highly multifactorial, and that there are few simple mono-dimensional relationships. By examining all possible combinations, Mosaic Portrait presents the optimal discrete method for identifying the link between genetics, clinical features and disease.