Multi-objective stochastic search for sampling local minima in the protein energy surface
B Olson, A Shehu - Proceedings of the International Conference on …, 2013 - dl.acm.org
We present an evolutionary stochastic search algorithm to obtain a discrete representation
of the protein energy surface in terms of an ensemble of conformations representing local …
of the protein energy surface in terms of an ensemble of conformations representing local …
[HTML][HTML] A population-based evolutionary search approach to the multiple minima problem in de novo protein structure prediction
Background Elucidating the native structure of a protein molecule from its sequence of
amino acids, a problem known as de novo structure prediction, is a long standing challenge …
amino acids, a problem known as de novo structure prediction, is a long standing challenge …
Improved sampling based motion planning through local learning
CP Ekenna - 2016 - oaktrust.library.tamu.edu
Every motion made by a moving object is either planned implicitly, eg, human natural
movement from one point to another, or explicitly, eg, pre-planned information about where …
movement from one point to another, or explicitly, eg, pre-planned information about where …
[PDF][PDF] Studying learning techniques in different phases of prm construction
Probabilistic Roadmap Methods (PRMs) solve the motion planning problem in two phases
by sampling free configurations and connecting them together to build a map that is used to …
by sampling free configurations and connecting them together to build a map that is used to …
Decoy database improvement for protein folding
Predicting protein structures and simulating protein folding are two of the most important
problems in computational biology today. Simulation methods rely on a scoring function to …
problems in computational biology today. Simulation methods rely on a scoring function to …
Improving decoy databases for protein folding algorithms
Predicting protein structures and simulating protein folding are two of the most important
problems in computational biology today. Simulation methods rely on a scoring function to …
problems in computational biology today. Simulation methods rely on a scoring function to …