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PTRAJ and CPPTRAJ: Software for Processing and Analysis of Molecular Dynamics Trajectory Data
Abstract
We describe PTRAJ and its successor CPPTRAJ, two complementary, portable, and freely available computer programs for the analysis and processing of time series of three-dimensional atomic positions (i.e., coordinate trajectories) and the data therein derived. Common tools include the ability to manipulate the data to convert among trajectory formats, process groups of trajectories generated with ensemble methods (e.g., replica exchange molecular dynamics), image with periodic boundary conditions, create average structures, strip subsets of the system, and perform calculations such as RMS fitting, measuring distances, B-factors, radii of gyration, radial distribution functions, and time correlations, among other actions and analyses. Both the PTRAJ and CPPTRAJ programs and source code are freely available under the GNU General Public License version 3 and are currently distributed within the AmberTools 12 suite of support programs that make up part of the Amber package of computer programs (see http://ambermd.org ). This overview describes the general design, features, and history of these two programs, as well as algorithmic improvements and new features available in CPPTRAJ.
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Cites
VMD: visual molecular dynamics
Humphrey, W., Dalke, A., & Schulten, K. (1996) · Journal of Molecular Graphics · doi:10.1016/0263-7855(96)00018-5 · Cited by 66,952
Kabsch, W., & Sander, C. (1983) · Biopolymers · doi:10.1002/bip.360221211 · Cited by 15,320
The Amber biomolecular simulation programs
Case, D. A., Cheatham, T. E., Darden, T., Gohlke, H., Luo, R., Merz, K. M., Onufriev, A., Simmerling, C., Wang, B., & Woods, R. J. (2005) · Journal of Computational Chemistry · doi:10.1002/jcc.20290 · Cited by 9,535
Self-citation
Research works printed but not linked: 37
- Klepeis J. L., 2009, Curr. Opin. Struct. Biol., 19, 120, 10.1016/j.sbi.2009.03.004 · DOI · Paper page
- Durrant J. D., 2011, BMC Biol., 9, 71, 10.1186/1741-7007-9-71 · DOI · Paper page
- Schlick T., 2011, Q. Rev. Biophys., 44, 191, 10.1017/S0033583510000284 · DOI
- Wereszczynski J., 2012, Q. Rev. Biophys., 45, 1, 10.1017/S0033583511000096 · DOI
- Perez A., 2012, Acc. Chem. Res., 45, 196, 10.1021/ar2001217 · DOI
- Pearlman D. A., 1995, Comput. Phys. Commun., 91, 1, 10.1016/0010-4655(95)00041-D · DOI · Paper page
- Feig M., 2001, J. Mol. Graphics Modell., 22, 377, 10.1016/j.jmgm.2003.12.005 · DOI · Paper page
- Michaud-Agrawal N., 2011, J. Comput. Chem., 32, 2319, 10.1002/jcc.21787 · DOI · Paper page
- Yesylevskyy S. O., 2012, J. Comput. Chem., 33, 1632, 10.1002/jcc.22989 · DOI
- Romo T. D., 2009, 31st Annual International Conference of the IEEE EMBS, 2332
- Tu T., 2008, Proceedings of the ACM/IEEE Conference on Supercomputing (SC08), 15
- Brooks B. R., 2009, J. Comput. Chem., 30, 1545, 10.1002/jcc.21287 · DOI · Paper page
- Dagum L., 1998, IEEE Comput. Sci. Eng., 5, 46, 10.1109/99.660313 · DOI · Paper page
- Weiser J., 1999, J. Comput. Chem., 20, 217, 10.1002/(SICI)1096-987X(19990130)20:2<217::AID-JCC4>3.0.CO;2-A · DOI
- Altona C., 1972, J. Am. Chem. Soc., 94, 8205, 10.1021/ja00778a043 · DOI · Paper page
- Harvey S. C., 1986, J. Am. Chem. Soc., 108, 6128, 10.1021/ja00280a004 · DOI
- Cremer D., 1975, J. Am. Chem. Soc., 97, 1354, 10.1021/ja00839a011 · DOI · Paper page
- Kabsch W., 1978, Acta Crystallogr., Sect. A, 34, 827, 10.1107/S0567739478001680 · DOI · Paper page
- Miller B. R., 2012, J. Chem. Theory Comput., 8, 3314, 10.1021/ct300418h · DOI · Paper page
- Prompers J. J., 2002, J. Am. Chem. Soc., 124, 4522, 10.1021/ja012750u · DOI
- Prompers J. J., 2002, Proteins, 46, 177, 10.1002/prot.10025 · DOI
- Anderson E., 1999, LAPACK Users’ Guide, 10.1137/1.9780898719604 · DOI · Paper page
- Lehoucq R. B., 1998, ARPACK Users’ Guide: Solution of Large-Scale Eigenvalue Problems with Implicitly Restarted Arnoldi Methods, 10.1137/1.9780898719628 · DOI · Paper page
- Abseher R., 1998, J. Mol. Biol., 279, 911, 10.1006/jmbi.1998.1807 · DOI
- Shao J., 2007, J. Chem. Theory Comput., 3, 2312, 10.1021/ct700119m · DOI · Paper page
- Connolly M. L., 1983, Science, 221, 709, 10.1126/science.6879170 · DOI · Paper page
- Connolly M., 1983, J. Appl. Crystallogr., 16, 548, 10.1107/S0021889883010985 · DOI · Paper page
- Chou J. J., 2003, J. Am. Chem. Soc., 125, 8959, 10.1021/ja029972s · DOI
- Perez C., 2001, J. Am. Chem. Soc., 123, 7081, 10.1021/ja003724j · DOI
- Lu X. J., 2003, Nucleic Acids Res., 31, 5108, 10.1093/nar/gkg680 · DOI · Paper page
- Babcock M. S., 1994, J. Mol. Biol., 237, 125, 10.1006/jmbi.1994.1213 · DOI
- Olson W. K., 2001, J. Mol. Biol., 313, 229, 10.1006/jmbi.2001.4987 · DOI · Paper page
- Wong V., 2008, J. Phys. Chem. B, 112, 6013, 10.1021/jp0761564 · DOI
- Raymond J. W., 2002, J. Comput.-Aided Mol. Des., 16, 521, 10.1023/A:1021271615909 · DOI · Paper page
- Brozell S. R., 2012, J. Comput.-Aided Mol. Des., 26, 749, 10.1007/s10822-012-9565-y · DOI
- Bacon D. F., 1994, ACM Comput. Surv., 26, 345, 10.1145/197405.197406 · DOI · Paper page
- Geist A., 1996, Euro-Par’96 Parallel Processing Lecture Notes in Computer Science, 128
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Huang, X., Prasad, R., Saluja, S., Yang, Y., Yan, Q., Shuster, S. O., Karatekin, E., Olson, R., Lin, C., Davis, C. M., et al. (2026) · PLOS Pathogens · doi:10.1371/journal.ppat.1013990 · Cited by 5
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Wang, N., Xing, J., Su, X., Pan, J., Chen, H., Shi, L., Si, L., Yang, W., & Li, M. (2024) · Molecular Plant · doi:10.1016/j.molp.2024.09.010 · Cited by 5
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Świderek, K., Arafet, K., de Sousa Batista, V., Grajales-Hernández, D., López-Gallego, F., & Moliner, V. (2025) · Journal of the American Chemical Society · doi:10.1021/jacs.5c13147 · Cited by 4
Calia, C. N., & Paesani, F. (2025) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.5c05027 · Cited by 4
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Braza, M. K. E., Demir, Ö., Ahn, S.-H., Morris, C. K., Calvó-Tusell, C., McGuire, K. L., de la Peña Avalos, B., Carpenter, M. A., Chen, Y., Casalino, L., et al. (2025) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.4c02272 · Cited by 3
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Cheung, J. C. T., Ng, L. W., Zhu, Z., Chen, B., Li, S., Xu, M., Ding, X., Pu, D., Hu, Y., Ren, Y., et al. (2025) · Cancer Research · doi:10.1158/0008-5472.can-24-2355 · Cited by 3
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Metadata
- Authors
- Roe, D. R., & Cheatham, T. E.
- Venue
- Journal of Chemical Theory and Computation
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-06-25
- Volume
- 9
- Issue
- 7
- Pages
- 3084-3095
- ISSN
- 1549-9618 (ISSN-L)
- 1549-9626
- OpenAlex
- W2332712348
- Cited by
- 7,382
- References
- 3
- FWCI
- 53.79
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.