computer science

GROMOS

GROMOS is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand GROMOS rather than just read about it. In short: GROningen MOlecular Simulation (GROMOS) is the name of a force field for molecular dynamics simulation, and a related computer software package, which has been developed until 1990 at the University of Groningen, and at the Computer-Aided Chemistry Group at the Laboratory for Physical Chemistry at the Swiss Federal Institute of Technology (ETH Zurich). At Groningen, Herman Berendsen was involved in its development.

Key takeaways

GROMOS belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect GROMOS to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of GROMOS from memory before moving on to harder problems.

Reference excerpt

GROningen MOlecular Simulation (GROMOS) is the name of a force field for molecular dynamics simulation, and a related computer software package, which has been developed until 1990 at the University of Groningen, and at the Computer-Aided Chemistry Group at the Laboratory for Physical Chemistry at the Swiss Federal Institute of Technology (ETH Zurich). At Groningen, Herman Berendsen was involved in its development. The development is currently a collaborative effort between the research group of Wilfred van Gunsteren, the research groups of Philippe Hünenberger and Sereina Riniker at ETH Zurich, Chris Oostenbrink at BOKU University in Vienna, Austria, and Niels Hansen at the University of Stuttgart in Stuttgart, Germany. The united atom force field was optimized with respect to the condensed phase properties of alkanes, polar molecules and charged molecules.

Versions

GROMOS87 Aliphatic and aromatic hydrogen atoms were included implicitly by representing the carbon atom and attached hydrogen atoms as one group centered on the carbon atom, a united atom force field. The van der Waals force parameters were derived from calculations of the crystal structures of hydrocarbons, and on amino acids using short (0.8 nm) nonbonded cutoff radii.

GROMOS96 In 1996, a substantial rewrite of the software package was released. The force field was also improved, e.g., in the following way: aliphatic CHn groups were represented as united atoms with van der Waals interactions reparametrized on the basis of a series of molecular dynamics simulations of model liquid alkanes using long (1.4 nm) nonbonded cutoff radii. This version is continually being refined and several different parameter sets are available. GROMOS96 includes studies of molecular dynamics, stochastic dynamics, and energy minimization. The energy component was also part of the prior GROMOS, named GROMOS87. GROMOS96 was planned and conceived during a time of 20 months. The package is made of 40 different programs, each with a different essential function. An example of two important programs within the GROMOS96 are PROGMT, in charge of constructing molecular topology and also PROPMT, changing the classical molecular topology into the path-integral molecular topology.

GROMOS05 An updated version of the software package was introduced in 2005.

GROMOS11 version 1.6.1 The current GROMOS version was released in November 2023 and updated in April 2024. Since the release of GROMOS11, the package consists of two subpackages: gromos++ and md++. The gromos++ package consists of a large number of smaller programs, which can be helpful to setup and analyse molecular simulations. The md++ package contains the actual MD engines, which can perform energy minimisations, stochastic dynamic simulations and molecular dynamics simulations. These can incorporate (alchemical) free energy calculations or enhanced sampling methods. New functionalities of the 1.6.1 release include support for virtual atoms with non-bonded interactions, shifted reaction-field, buffer region neural network, combined TI with (A-)EDS and selective Gaussian accelerated MD.

Parameter sets Some of the force field parameter sets that are based on the GROMOS force field. The A-version applies to condensed phase solutions of proteins, nucleotides, and sugars. The B-version applies to isolated molecules (gas phase).

54 54A8 - recalibration of the nonbonded interaction parameters for the charged amino-acid side chains, based on ionic side chain analogs. 54A7 - 53A6 taken and adjusted torsional angle terms to better reproduce helical propensities, altered N–H, C=O repulsion, new CH3 charge group, parameterisation of Na+ and Cl− to improve free energy of hydration and new improper dihedrals. 54B7 - 53B6 in vacuo taken and changed in same manner as 53A6 to 54A7.

53 53A5 - optimised by first fitting to reproduce the thermodynamic properties of pure liquids of a range of small polar molecules and the solvation free enthalpies of amino acid analogs in cyclohexane, is an expansion and renumbering of 45A3. 53A6 - 53A5 taken and adjusted partial charges to reproduce hydration free enthalpies in water, recommended for simulations of biomolecules in explicit water.

45 45A3 - suitable to apply to lipid aggregates such as membranes and micelles, for mixed systems of aliphatics with or without water, for polymers, and other apolar systems that may interact with different biomolecules. 45A4 - 45A3 reparameterised to improve DNA representation.

43 43A1 43A2

See also GROMOS Ascalaph Designer Comparison of software for molecular mechanics modeling Comparison of force field implementations

References

External links Official website

Worked examples

Example 1 — a first encounter with GROMOS

Start with the simplest possible case. Write down what GROMOS claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to GROMOS before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about GROMOS ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of GROMOS

In research: GROMOS appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses GROMOS in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: GROMOS is common in secondary-school and first-year university syllabi. It links to neighbouring topics Force fields (chemistry), Molecular dynamics software, Software programmed in C++, so understanding it makes those chapters shorter.
In everyday life: Look for GROMOS outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study GROMOS in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what GROMOS means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain GROMOS out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is GROMOS in simple terms?

Why does GROMOS matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study GROMOS?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on GROMOS.