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.
The distinguishing components of our innovative approach are:
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.
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.
Grant Award from the National Institute on Aging, September 2016
Grant Award from the National Institute of Mental Health, September 2013
Gradient at TEDxBG, January 2012
Publication in Malaria Journal, September 2011