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.
Collaboration with FAR Biotech, Inc., December 2016
Provisional Patent Application: Ergot Derivative Compound and Its Use in African Sleeping Sickness and Related Disease, October 2016
Grant Award from the National Institute on Aging, September 2016
Grant Award from the National Center for Advancing Translational Sciences, September 2016
Publication in PLoS ONE: Cethromycin for Liver Stage Malaria, May 2015
Provisional Patent Application: Macrolide Compounds and Their Use in Liver Stage Malaria and Related Disease, September 2014
Grant Award from the National Institute of Allergies and Infectious Diseases, May 2014
Grant Award from the National Institute of Mental Health, September 2013
Innovation Grant Award from the EU Fund for Regional Development, January 2013
Grand Challenges Explorations Grant Award from the Gates Foundation, November 2012
Gradient at the 6th Annual Parkinson's Disease Therapeutics Conference, October 2012
Publication in Chemical Biology & Drug Design, October 2012
Gradient at TEDxBG, January 2012
Publication in Malaria Journal, September 2011
Research Grant Award from the Michael J. Fox Foundation, May 2011