| Full text | |
| Author(s): |
Bernal, M. A.
[1]
;
Sikansi, D.
[1]
;
Cavalcante, F.
[1]
;
Incerti, S.
[2]
;
Champion, C.
[2]
;
Ivanchenko, V.
[3]
;
Francis, Z.
[4, 5]
Total Authors: 7
|
| Affiliation: | [1] Univ Estadual Campinas, Inst Fis Gleb Wataghin, BR-13081970 Campinas, SP - Brazil
[2] Univ Bordeaux 1, CNRS IN2P3, Ctr Etud Nucl Bordeaux Gradignan, CENBG, F-33175 Gradignan - France
[3] Ecoanalytica, Moscow 119899 - Russia
[4] Univ St Joseph, Fac Sci, Dept Phys, Beirut - Lebanon
[5] Open Univ, Fac Sci, Dept Phys Sci, Milton Keynes MK7 6AA, Bucks - England
Total Affiliations: 5
|
| Document type: | Journal article |
| Source: | COMPUTER PHYSICS COMMUNICATIONS; v. 184, n. 12, p. 2840-2847, DEC 2013. |
| Web of Science Citations: | 23 |
| Abstract | |
In this paper, an atomistic geometrical model for the B-DNA configuration is explained. This model accounts for five organization levels of the DNA, up to the 30 nm chromatin fiber. However, fragments of this fiber can be used to construct the whole genome. The algorithm developed in this work is capable to determine which is the closest atom with respect to an arbitrary point in space. It can be used in any application in which a DNA geometrical model is needed, for instance, in investigations related to the effects of ionizing radiations on the human genetic material. Successful consistency checks were carried out to test the proposed model. Program summary Program title: FindClosestAtom Catalogue identifier: AEPZ\_v1\_0 Program summary URL: http://cpc.cs.qub.ac.uk/summaries/AEPZ\_v1\_0.html Program obtainable from: CPC Program Library, Queen's University, Belfast, N. Ireland Licensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.html No. of lines in distributed program, including test data, etc.: 1245 No. of bytes in distributed program, including test data, etc.: 6574 Distribution format: tar.gz Programming language: FORTRAN. Computer: Any. Operating system: Multi-platform. RAM: 2 Gb Classification: 3. Nature of problem: The Monte Carlo method is used to simulate the interaction of ionizing radiation with the human genetic material in order to determine DNA damage yields per unit absorbed dose. To accomplish this task, an algorithm to determine if a given energy deposition lies within a given target is needed. This target can be an atom or any other structure of the genetic material. Solution method: This is a stand-alone subroutine describing an atomic-resolution geometrical model of the B-DNA configuration. It is able to determine the closest atom to an arbitrary point in space. This model accounts for five organization levels of the human genetic material, from the nucleotide pair up to the 30 nm chromatin fiber. This subroutine carries out a series of coordinate transformations to find which is the closest atom containing an arbitrary point in space. Atom sizes are according to the corresponding van der Waals radii. Restrictions: The geometrical model presented here does not include the chromosome organization level but it could be easily build up by using fragments of the 30 nm chromatin fiber. Unusual features: To our knowledge, this is the first open source atomic-resolution DNA geometrical model developed for DNA-radiation interaction Monte Carlo simulations. In our tests, the current model took into account the explicit position of about 56 x 10(6) atoms, although the user may enhance this amount according to the necessities. Running time: This subroutine can process about 2 million points within a few minutes in a typical current computer. (C) 2013 Elsevier B.V. All rights reserved. (AU) | |
| FAPESP's process: | 11/51594-2 - Development of a computational system for the simulation of the interaction of ionizing radiations with the human genetic material |
| Grantee: | Mario Antonio Bernal Rodriguez |
| Support Opportunities: | Research Grants - Young Investigators Grants |