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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fabry-Asztalos, L. Lorentz, I. Andonie, R. |
| Copyright Year | 2012 |
| Description | Author affiliation: Department of Chemistry, Central Washington University, Ellensburg, USA (Fabry-Asztalos, L.) || Electronics and Computers Department, Transilvania University, Braşov, Romania (Lorentz, I.) || Computer Science Department, Central Washington University, Ellensburg, USA (Andonie, R.) |
| Abstract | We present a combination of methods addressing the molecular distance problem, implemented on a graphic processing unit. First, we use geometric build-up and depth-first graph traversal. Next, we refine the solution by simulated annealing. For an exact but sparse distance matrix, the build-up method reconstructs the 3D structures with a root-mean-square error (RMSE) in the order of 0.1 Å. Small and medium structures (up to 10,000 atoms) are computed in less than 10 seconds. For the largest structures (up to 100,000 atoms), the build-up RMSE is 2.2 Å and execution time is about 540 seconds. The performance of our approach depends largely on the graph structure. The SA step improves accuracy of the solution to the expense of a computational overhead. |
| Starting Page | 321 |
| Ending Page | 328 |
| File Size | 1428103 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781467311908 |
| e-ISBN | 9781467311915 |
| DOI | 10.1109/CIBCB.2012.6217247 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Complexity theory Simulated annealing Proteins Vectors Geometry Graphics processing unit Chemicals Graph algorithms Graphics processors Molecular Distance Geometry Parallel algorithms |
| Content Type | Text |
| Resource Type | Article |
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