Protein folding should be complex. Proteins organize themselves into specific three-
dimensional structures, through a myriad of conformational changes. The classical view of …

Investigation of macromolecular structure and dynamics is fundamental to understanding
how macromolecules carry out their functions in the cell. Significant advances have been …

Planning algorithms are impacting technical disciplines and industries around the world,
including robotics, computer-aided design, manufacturing, computer graphics, aerospace …

Probabilistic roadmap (PRM) planners have been successful in path planning of robots with
many degrees of freedom, but narrow passages in a robot's configuration space create …

We present an immune algorithm (IA) inspired by the clonal selection principle, which has
been designed for the protein structure prediction problem (PSP). The proposed IA employs …

This paper shows how to effectively combine a sampling-based method primarily designed
for multiple-query motion planning [probabilistic roadmap method (PRM)] with sampling …

Probabilistic roadmap (PRM) planners have been successful in path planning of robots with
many degrees of freedom, but sampling narrow passages in a robot's configuration space …

Motion planning is a fundamental problem in robotics that has motivated research since
more than three decades ago. A large variety of algorithms have been proposed to compute …

Robotics is concerned with the generation of computer-controlled motions of physical
objects in a wide variety of settings. Because physical objects define spatial distributions in 3 …

Motivation: Motion is inherent in molecular interactions. Molecular flexibility must be taken
into account in order to develop accurate computational techniques for predicting …