Search Results for author:
Found 5 papers, 3 papers with code
Rapid prediction of crucial hotspot interactions for icosahedral viral capsid self-assembly by energy landscape atlasing validated by mutagenesis
We combine ab-initio predictions at two scales: at the interface-scale, we predict the importance (cruciality) of an interaction for successful subassembly across each interface between VP monomers; and at the capsid-scale, we predict the cruciality of an interface for successful capsid assembly.
Efficient Atlasing and Search of Configuration Spaces of Point-Sets Constrained by Distance Intervals
For configurations of point-sets that are pairwise constrained by distance intervals, the EASAL software implements a suite of algorithms that characterize the structure and geometric properties of the configuration space.
Computational Geometry
An Incidence Geometry approach to Dictionary Learning
We study the Dictionary Learning (aka Sparse Coding) problem of obtaining a sparse representation of data points, by learning \emph{dictionary vectors} upon which the data points can be written as sparse linear combinations.
Atlasing of Assembly Landscapes using Distance Geometry and Graph Rigidity
We describe a novel geometric methodology for analyzing free-energy and kinetics of assembly driven by short-range pair-potentials in an implicit solvent, and provides illustrations of its unique capabilities.
Computational Geometry
Learning Hierarchical Sparse Representations using Iterative Dictionary Learning and Dimension Reduction
This paper introduces an elemental building block which combines Dictionary Learning and Dimension Reduction (DRDL).
