Molecular Distance Geometry Approach to solve Alpha Carbon Trace Problem

To structural researchers, predicting protein structures currently remains a challenging task. During the past decades, different methodologies have been developed to address this issue. One such protein structure prediction problem is the Alpha Carbon Trace Problem. The Alpha Carbon trace problem is to determine the 3-D coordinates of the main chain atoms(C, N, and O) from just the CA carbon coordinates. This master\u27s thesis presents a novel approach for solving the CA trace problem by using a molecular distance geometry approach. The current approach uses the algorithms which are used to solve the Molecular Distance Geometry Problem to nd the coordinates of the atoms in the peptide plane of a given protein. Once, the coordinates of the atoms(CA, C, N, and O) in the single peptide plane are computed, the two CA atoms are aligned with the first two CA atoms in the CA trace by finding the appropriate rotation and translation. The same rotation and translation are applied to all the other atoms in the peptide plane(C, N, and O). The process is then repeated for the entire trace, and the coordinates of all the atoms in the main chain of the protein are retrieved. In order to predict the side-chain atoms from the main Chain, SCWRL4.0 is used. The output generated by SCWRL4.0 is then subjected to LBFGS energy minimizer using a tool called MESHI. The key advantage of using our approach is that it eliminates the building and searching for a huge protein fragment library. Experiments show that our approach is highly comparable to other approaches such as BBQ, PD2Main, and PULCHRA for solving the CA trace problem

A community databank for performance tracefiles

Tracefiles provide a convenient record of the behavior of HPC programs, but are not generally archived because of their storage requirements. This has hindered the developers of performance analysis tools, who must create their own tracefile collections in order to test tool functionality and usability. This paper describes a shared databank where members of the HPC community can deposit tracefiles for use in studying the performance characteristics of HPC platforms as well as in tool development activities. We describe how the Tracefile Testbed was designed and implemented to facilitate flexible searching and retrieval of tracefiles. A Web-based interface provides a convenient mechanism for browsing and downloading collections of tracefiles and tracefile segments based on a variety of characteristics. The paper discusses the key implementation challenges. 1 The Tracefile Testbed Tracefiles are a valuable source of information about the properties and behavior both of applications and of the systems on which they are executed. They are typically generated by the application programmer as part of the performance tuning process. Ou