Functional annotation of proteomes remains challenging as proteins do not have rigid molecular structure. Rather, alternative conformations are in constant transition - among themselves and through interactions with other cellular constituents, thereby imparting functional heterogeneity. Understanding the motion and plasticity of active sites would have important implications on the design of enzyme targeted drugs, as it is now generally accepted that drug binding induces large conformational changes.  

Observing this phenomena directly is exceedingly difficult, but by inference - signature functional profiles open up possibilities to catalog and compare observable differences in kinetic response to various in vitro stimuli of the active site. These variants potentially span the continuum of kinetic sub-states acquired by natural transient features and regulatory factors, post-translational modifications, family and mutation amino-acid sequence, or splice variants. Other drug discovery platforms consider either: structural binding analysis by crystallography, the relative expression and PTMs of protein families, and most commonly - selectivity screening of homogeneous panels of recombinant enzymes. However, ProFACT's Conformerics platform proposes to directly determine the kinetic contributions of enzyme variants, and screen compounds against a pooled collection of the most disease-specfic variants.

Conformerics is the trademark term describing a three tiered proteomic and drug discovery strategy:

The first tier is to differentially compartmentalize functional characteristics that can be signature profiled, compared and enriched.

The second tier pre-supposes that the first tier has been successful in establishing disease-specific active site variants, and these can compartmentalized for challenge with small molecules.

The third tier is to perform small molecule selectivity screening based on the kinetics of active site variants, - a new drug discovery paradigm.

ProFACT is advancing this strategy towards cAMP hydrolysis (Phosphodiesterase activity), Kinase activity, Protease activity (especially Proteasome) and p53 variants, but the platform technologies can be applied towards any measurable functional or enzyme activity.