The DOI matches its Crossref record.
Computer Simulation of Molecular Dynamics: Methodology, Applications, and Perspectives in Chemistry
Abstract
During recent decades it has become feasible to simulate the dynamics of molecular systems on a computer. The method of molecular dynamics (MD) solves Newton's equations of motion for a molecular system, which results in trajectories for all atoms in the system. From these atomic trajectories a variety of properties can be calculated. The aim of computer simulations of molecular systems is to compute macroscopic behavior from microscopic interactions. The main contributions a microscopic consideration can offer are (1) the understanding and (2) interpretation of experimental results, (3) semiquantitative estimates of experimental results, and (4) the capability to interpolate or extrapolate experimental data into regions that are only difficultly accessible in the laboratory. One of the two basic problems in the field of molecular modeling and simulation is how to efficiently search the vast configuration space which is spanned by all possible molecular conformations for the global low (free) energy regions which will be populated by a molecular system in thermal equilibrium. The other basic problem is the derivation of a sufficiently accurate interaction energy function or force field for the molecular system of interest. An important part of the art of computer simulation is to choose the unavoidable assumptions, approximations and simplifications of the molecular model and computational procedure such that their contributions to the overall inaccuracy are of comparable size, without affecting significantly the property of interest. Methodology and some practical applications of computer simulation in the field of (bio)chemistry will be reviewed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
GROMACS: Fast, flexible, and free
Van Der Spoel, D., Lindahl, E., Hess, B., Groenhof, G., Mark, A. E., & Berendsen, H. J. C. (2005) · Journal of Computational Chemistry · doi:10.1002/jcc.20291 · Cited by 19,182
Self-citationCarrier-Based Ion-Selective Electrodes and Bulk Optodes. 1. General Characteristics
Bakker, E., Bühlmann, P., & Pretsch, E. (1997) · Chemical Reviews · doi:10.1021/cr940394a · Cited by 2,369
Virtual screening of chemical libraries
Shoichet, B. K. (2004) · Nature · doi:10.1038/nature03197 · Cited by 1,425
Deriving effective mesoscale potentials from atomistic simulations
Reith, D., Pütz, M., & Müller‐Plathe, F. (2003) · Journal of Computational Chemistry · doi:10.1002/jcc.10307 · Cited by 1,314
Structure-Based Strategies for Drug Design and Discovery
Kuntz, I. D. (1992) · Science · doi:10.1126/science.257.5073.1078 · Cited by 989
Metadata
- Authors
- van Gunsteren, W. F., & Berendsen, H. J. C.
- Venue
- Angewandte Chemie International Edition in English
- Publisher
- Wiley
- Published
- 1990-09
- Volume
- 29
- Issue
- 9
- Pages
- 992-1023
- ISSN
- 0570-0833 (ISSN-L)
- OpenAlex
- W2103734924
- Cited by
- 1,554
- References
- 0
- FWCI
- 41.25
- 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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Computer Simulation of Molecular Dynamics: Methodology, Applications, and Perspectives in Chemistry. https://app.cochat.ai/papers/10.1002/anie.199009921
- The paper
- van Gunsteren, W. F., & Berendsen, H. J. C. (1990). Computer Simulation of Molecular Dynamics: Methodology, Applications, and Perspectives in Chemistry. Angewandte Chemie International Edition in English. https://doi.org/10.1002/anie.199009921
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.