Advanced development for space robotics with emphasis on fault tolerance

This paper describes the ongoing work in fault tolerance at the University of Texas at Austin. The paper describes the technical goals the group is striving to achieve and includes a brief description of the individual projects focusing on fault tolerance. The ultimate goal is to develop and test technology applicable to all future missions of NASA (lunar base, Mars exploration, planetary surveillance, space station, etc.)

CHAMPION: Chalmers Hierarchical Atomic, Molecular, Polymeric & Ionic Analysis Toolkit

We present CHAMPION: a software developed to automatically detect time-dependent bonds between atoms based on their dynamics, classify the local graph topology around them, and analyze the physicochemical properties of these topologies by statistical physics. In stark contrast to methodologies where bonds are detected based on static conditions such as cut-off distances, CHAMPION considers pairs of atoms to be bound only if they move together and act as a bound pair over time. Furthermore, the time-dependent global bond graph is possible to split into dynamically shifting connected components or subgraphs around a certain chemical motif and thereby allow the physicochemical properties of each such topology to be analyzed by statistical physics. Applicable to condensed matter and liquids in general, and electrolytes in particular, this allows both quantitative and qualitative descriptions of local structure, as well as dynamical processes such as speciation and diffusion. We present here a detailed overview of CHAMPION, including its underlying methodology, implementation and capabilities.Comment: 11 pages, 8 figure

On the Automatic Construction of QM/MM Models for Biological Photoreceptors: Rhodopsins as Model Systems

The automatic building of quantum mechanical/molecular mechanical models (QM/MM) of rhodopsins has been recently proposed. This is a prototype of an approach that will be expanded to make possible the systematic computational investigation of biological photoreceptors. QM/MM models represent useful tools for biophysical studies and for protein engineering, but have the disadvantage of being time-consuming to construct, error prone and, also, of not being consistently constructed by researchers operating in different laboratories. These basic issues impair the possibility to comparatively study hundreds of photoreceptors of the same family, as typically required in biological or biotechnological studies. Thus, in order to carry out systematic studies of photoreceptors or, more generally, light-responsive proteins, some of the authors have recently developed the Automatic Rhodopsin Modeling (ARM) protocol for the fast generation of combined QM/MM models of photoreceptors formed by a single protein incorporating in its cavity a single chromophore. In this chapter, we review the results of such research effort by revising the building protocol and benchmark studies and by discussing selected applications