ChemoProfiling.org

Chemoprofiling.org provides assess for computational tools for robust statistical analysis of data produced by modern Chemical Biology programs. Our tools integrate vast amount of chemical knowledge generated by high throughput screening projects as well as biological databases with the goal to provide the best analytical solutions for your experimental data. At the moment Chemoprofiling.org operates several tools listed below.

ChemoProfiling MOA

ChemoProfiling MOA infers statistical patterns from high content phenotypic screening results (i.e. screened molecules divided into active and inactive subsets) in order to provide quantitative rationale to elucidate mechanisms of drug action. As output, it will report targets/pathways overrepresented in active molecules. More details please see here.

ChemoProfiling QSAR

ChemoProfiling QSAR provides simple and fast way to infer Quantitative Structure Activity Relationships from your screening results (i.e. screened molecules divided into active and inactive subsets). As output, it will report chemical substructures significantly overrepresented in active molecules. More details please see here.

PHENOTHERA

PHENOTHERA estimates a gene/protein/pathway therapeutic potential by integrating plethora of high throughput and high content screening data. PHENOTHERA provides direct statistical evidences that targeting a gene or a pathway increases the chances for a potential drug to produce desired cell phenotypic transformation (observed in vivo bioassays). More details please see here.

BioActivity spider

BioActivity spider links statistically a molecular substructure to a wide range of bioactivities by mining plethora of high throughput screening assays. The tool can be useful for variety of medicinal chemistry problems such as fragment based drug discovery or structural optimization of compounds leads. More details please see here.