Gradient Biomodeling, LLC has developed a versatile computational platform for modeling of biomolecular interactions and pathways.
Applications of our technology include drug discovery and design, repositioning of therapeutic compounds, small-molecule diagnostics, chemical genetics, biomarker identification, etc.
Gradient at TEDxBG, January 2012
Publication in Malaria Journal, September 2011
Quantum Representation of Molecular Structures:
Chemical structure alone does not provide adequate description of molecular interactions, which are quantum in nature. We have developed proprietary, rigorous, easily computable Quantum Representation of molecules.
The ability to measure object similarities is essential for any data interpretation. We use adaptive machine-learning algorithms with fuzzy decision-making protocols for predictive Metric Modeling with rigorous bio-molecular similarity measures.