Open Source Linux Molecular Mechanics Software
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Molecular Mechanics Software for Linux
View 13 business solutionsBrowse free open source Molecular Mechanics software and projects for Linux below. Use the toggles on the left to filter open source Molecular Mechanics software by OS, license, language, programming language, and project status.
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LAMMPS
Public development project of the LAMMPS MD software package
LAMMPS is a large-scale classical molecular dynamics simulator for modeling atoms, molecules, coarse-grained particles, and other particle-based systems. It is designed for high-performance computing and can run efficiently on desktops, clusters, and supercomputers. The software is widely used in materials science, chemistry, physics, nanotechnology, soft matter, and computational engineering. It supports many interaction models, including pair potentials, many-body potentials, reactive force fields, bonded interactions, long-range electrostatics, and user-extendable packages. LAMMPS is script-driven, so users can define simulation geometry, force fields, integration methods, output, and analysis behavior through input files. Its main value is combining broad scientific flexibility with scalable parallel performance for complex molecular and mesoscale simulations. -
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GromacsProSuite
Graphical User Interface for Gromacs
This tool is an integrated graphical interface that simplifies molecular dynamics simulations using Gromacs. It provides a structured, tab-based environment to set up, execute, and analyze simulations data without complex command-line operations. The software automates tasks such as topology generation, solvation, ion addition, minimization, equilibration, and production runs while executing GROMACS commands in the background. Built-in monitoring tracks CPU, RAM, and disk usage to ensure stable performance during parallel processing. Beyond simulation execution, it includes advanced trajectory processing and analysis tools such as RMSD, RMSF, SASA, clustering, PCA, hydrogen-bond analysis, Ramachandran plots, and FEL mapping. With integrated visualization and plotting utilities, it offers a unified platform for researchers, educators, and students to perform complete MD workflows efficiently and reproducibly. Our Goal is to bring MD simulations to every biologist's toolkit. -
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ESPResSo
The ESPResSo package
ESPResSo is a simulation package for molecular dynamics and Monte Carlo simulations of soft matter systems. It is designed for coarse-grained and bead-spring models used in physics, chemistry, and molecular biology. The software can model systems such as polymers, colloids, liquid crystals, ferrofluids, DNA, lipid membranes, and other complex fluids. It includes a broad range of interaction potentials and algorithms for electrostatics, hydrodynamics, and coupled particle-field behavior. ESPResSo is controlled through Python, which makes it flexible for custom simulation setup and analysis. Its main value is giving soft matter researchers a versatile and extensible platform for studying many-particle systems beyond simple atomistic models. -
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GROMACS
Public/backup repository of the GROMACS molecular simulation toolkit
GROMACS is a molecular simulation toolkit focused on high-performance molecular dynamics. It is widely used for biomolecular systems such as proteins, lipids, nucleic acids, solvents, and ligand interactions. The software is optimized for speed and supports modern CPU and GPU acceleration for large and demanding simulations. It includes tools for system preparation, running simulations, trajectory processing, analysis, and workflow automation. GROMACS is especially strong in computational biophysics and chemistry, but it can also be used for broader molecular modeling tasks. Its main value is giving researchers a fast, mature, and extensively documented platform for studying molecular motion and interactions over time. -
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Molecular Dynamics Studio
Molecular Dynamics Cell Construction
This is a collection of software modifications created to integrate NanoEngineer-1, PACKMOL and MSI2LMP for the purpose of easily creating molecular dynamics cells. NanoEngineer-1 is a molecular CAD software written by Nanorex and provides the user an easy way to create molecules, while the software modifications allow the user to type atoms using multiple force fields. PACKMOL can generate a random collection of molecules using the molecule templates from NanoEngineer-1 thus providing the initial MD cell. Modifications to PACKMOL allow the atom type data to be passed through to the MSI2LMP software. MSI2LMP creates a LAMMPS input file based on class I or class II force fields. MSI2LMP was modified to use numerically coded force field data generated by NanoEngineer-1. The MMP file format was extended and integrated into all three software applications. http://www.nanoengineer-1.net http://www.ime.unicamp.br/~martinez/packmol/ http://lammps.sandia.gov/ -
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HOOMD-blue
Molecular dynamics and Monte Carlo soft matter simulation on GPUs
HOOMD-blue is a Python-driven particle simulation engine for molecular dynamics and hard-particle Monte Carlo simulations. It was designed from the ground up for GPU acceleration, with a high-performance C++ and CUDA backend. The software is especially useful for nano-scale, colloidal, polymer, soft matter, and materials simulations. Its Python interface lets users build simulation and analysis workflows using familiar scientific Python tools. HOOMD-blue supports efficient parallel execution and has been used for large-scale GPU-based simulations. Its main value is combining a flexible Python user experience with strong GPU performance for modern particle simulation research. -
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LIGGGHTS-PUBLIC
Official release of the LIGGGHTS DEM software by DCS Computing
LIGGGHTS-PUBLIC is an open-source Discrete Element Method particle simulation software package. It is used to model granular materials, powders, bulk solids, and industrial particle-flow systems. The project originated from the LIGGGHTS ecosystem and has been used in combination with CFDEM coupling workflows for particle-fluid simulations. It helps users study mechanical contact, particle motion, collision behavior, packing, flow, and equipment-scale granular processes. The software is especially relevant for engineering applications where macroscopic behavior emerges from many particle-level interactions. Its main value is providing a DEM simulation engine for researchers and engineers who need detailed particle-scale modeling in open-source workflows. -
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CAMPARI
Software for molecular simulations and trajectory analysis
We are proud to introduce version 5 of CAMPARI. We have added a number of new features, most notably a Python interface for interpreting user-supplied code (with the help of ForPy), a novel trajectory storage standard (with the help of libpqxx/PostgreSQL), and a module for performing transition path theory. Naturally, CAMPARI continues to provide the reference implementation of the ABSINTH force field paradigm and implicit solvation model. CAMPARI is a joint package for performing and analyzing molecular simulations, in particular of systems of biological relevance. It focuses on a wide availability of algorithms for (advanced) sampling and is capable of combining Monte Carlo and molecular dynamics in seamless fashion. CAMPARI offers the user a very high level of control over all implemented features. For more information and features, please refer to the project's homepage at http://campari.sourceforge.net/V5 -
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Chemical Trajectory Analyzer
A software package for processing and analyzing chemical trajectories
ChemTraYzer creates reaction models from molecular dynamics simulations. It's available as open software (MIT license). Please find a full description @ https://www.ltt.rwth-aachen.de/cms/LTT/Forschung/Forschung-am-LTT/Model-Based-Fuel-Design/Aktuelle-Projekte/~kqbf/ChemTraYzer/lidx/1 M.Döntgen, M.-D.Przybylski-Freund, L.C.Kröger, W.A.Kopp, A.E.Ismail, K.Leonhard, "Automated Discovery of Reaction Pathways, Rate Constants, and Transition States Using Reactive Molecular Dynamics Simulations", J. Chem. Theory Comput. 11 (2015), 2517-2524 L.C.Kröger, W.A.Kopp, M.Döntgen, K.Leonhard, "Assessing Statistical Uncertainties of Rare Events in Reactive Molecular Dynamics Simulations", J. Chem. Theory Comput. 13 (2017), 3955-3960 M.Döntgen, F.Schmalz, W.A.Kopp, L.C.Kröger, K.Leonhard, "Automated Chemical Kinetic Modeling via Hybrid Reactive Molecular Dynamics and Quantum Chemistry Simulations", J. Chem. Inf. Model. 58 (2018), 1343-1355 Check the Wiki for bug reports and fixes. -
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MEMBPLUGIN
MEMBPLUGIN: studying membrane complexity in VMD
MEMBPLUGIN is a membrane analysis tool for molecular-dynamics simulations. It is a collection of visual and command-line tools that can be run within the Visual Molecular Dynamics (VMD) environment to analyze biomolecular simulations of lipid bilayers. -
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rDock
A Fast, OpenSource Program for Docking Ligands to Proteins and N.Acids
rDock is a fast and versatile Open Source docking program that can be used to dock small molecules against proteins and nucleic acids. It is designed for High Throughput Virtual Screening (HTVS) campaigns and Binding Mode prediction studies. rDock is mainly written in C++ and accessory scripts and programs are written in C++, perl or python languages. The full rDock software package requires less than 50 MB of hard disk space and it is compilable in all Linux computers. Thanks to its design and implementation, it can be installed on a computation cluster and deployed on an unlimited number of CPUs, allowing HTVS campaigns to be carried out in a matter of days. The rDock program was developed from 1998 to 2006 by the software team at RiboTargets (subsequently Vernalis (R&D) Ltd). In 2006, the software was licensed to the University of York for maintenance and distribution. In 2012, Vernalis and the University of York agreed to release the program as Open Source software. -
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An open-source software to convert SDF files into TINKER XYZ files (and viceversa) with automatic assignment of MMFF94 atom types, bond types and charges
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xPyder PyMOL Plugin
Analyze and visualize coupled residues and their networks in proteins
xPyder is a PyMOL plugin to analyze and visualize on the 3D structure dynamical cross-correlation matrices (DCCM), linear mutual information (LMI), communication propensities (CP), intra- and inter-molecular interactions (e.g. PSN), and more, to produce highly customizable publication-quality images. xPyder identifies networks (using concepts from graph theory, such as hubs and shortest path searching), compares matrices and focuses the analysis on relevant information by filtering the data using a modular, user-expandable plugin system that takes advantage of structural and dynamical information, contributing to bridge the gap between dynamical and mechanical properties at the molecular level. -
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pyMDMix
Molecular dynamics with aqueous-organic solvent mixtures
This python package aims to help people set up and analyze molecular dynamics simulations in aqueous-organic solvent mixtures. See D. Alvarez-Garcia et al. Journal of Medicinal Chemistry, 2014. -
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APL@Voro
APL@Voro a tool for model bilayer simulation analysis.
APL@Voro is a program designed to aid in the analysis of lipid bilayer simulations carried out by gromacs. It calculates the area per lipid and the membrane thickness even for mixed bilayers. Colored Voronoi diagrams and different types of plots are presented in an interactive environment. -
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AutoMap
AutoMap is a tool for structural biology and drug design.
AutoMap takes a series of poses obtained from molecular docking and applies the site, epitope and conformational mapping techniques to the poses to select likely ligand binding modes. -
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DL_POLY
General purpose classical molecular dynamics (MD) simulation software
DL_POLY is a general-purpose classical molecular dynamics simulation package developed at Daresbury Laboratory. It has evolved from older replicated-memory designs into a distributed-memory code suitable for modern parallel computing. The software can be built in serial form or with MPI for larger simulations. It is used for molecular modeling in chemistry, physics, materials science, and condensed-matter research. DL_POLY provides a mature simulation environment for studying atomic and molecular systems under classical force-field descriptions. Its main value is offering a long-running, research-grade MD package with a strong focus on parallel execution and general scientific use. -
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ESTReMo
An evolutionary simulator of transcription regulatory networks
ESTReMo is a genetic algorithm-based simulator to explore the evolution of transcription factors and their binding motifs on realistic genomic backgrounds. -
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Iphigenie
A fast and versatile molecular dynamics program
The molecular mechanics (MM) program Iphigenie provides a broad range of molecular dynamics (MD) methods and technologies, including polarizable force fields (PMM), the HADES reaction field, and QM/(P)MM hybrid simulations. -
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LIGGGHTS
This is an academic adaptation of the LIGGGHTS software package
LIGGGHTS-PFM is a Discrete Element Method simulation package maintained for particulate flow modeling. It is based on the LIGGGHTS family and is intended for simulating granular materials, particles, powders, and bulk solids. The project supports Linux installation workflows and is often used alongside CFDEM-style coupling setups. It is useful for researchers and engineers studying particle mechanics, contact behavior, flow through equipment, and industrial bulk handling. The software focuses on particle-level simulation rather than continuum-only descriptions, making it suitable when individual particle contacts and collisions matter. Its main value is giving particulate-flow users an open DEM codebase for building, running, and extending granular simulations. -
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MDcons(Molecular Dynamics consensus)
Interpretation of Biomolecular MD simulations
MDcons is a tool to analyze conserved contacts during Molecular Dynamics (MD) simulations of Protein, Rna, Dna & Ligand based complexes. The input is either a Molecular Dynamics trajectory or a set of snapshots. The input can also be a single snapshot. The outputs are (1) map of most/less frequently conserved contacts during MD (2) a list of most/less frequently conserved contacts during MD. -
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MIPGen
Simple Molecular Interaction Potential Generator in Python
Molecular Interaction Potential Generator MIPGEN is a python program that will calculate Molecular Interaction Potential grids over a given molecule, that could be either a protein or a small organic compound (drug). The output will be a series of grids with DX format (*.dx) that the user will be able to visualize using any Molecular visualization program like VMD, PyMol, Chimera... For more information on dependencies and usage, please read the Documentation. Users are welcome to post any bug or request under BUGS & REQUESTS menu. (sourceforge account will be needed). -
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MolTPC
MolTPC provides a solution for fully automatic tautomer enumeration.
Besides all their conformational degrees of freedom, drug-like molecules and natural products often also undergo tautomeric interconversions. Compared to the huge efforts made in experimental investigation of tautomerism, open and free algorithmic solutions for prototropic tautomer generation are surprisingly rare. The few freely available software packages limit their output to a subset of the possible configurational space by sometimes unwanted prior assumptions and complete neglection of ring-chain tautomerism. MolTPC provides an adjustable and fully automatic approach for this problem. The original publication can be found on http://onlinelibrary.wiley.com/doi/10.1002/jcc.23397/full. -
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OFR Analysis Tool
For the analysis of output data from the OFR method
The OFR method is a type of steered molecular dynamics method for determining potentials of mean force (PMF) (Phys. Rev. E, 2011, 83: 021114) and local diffusion coefficients, D(z) (Phys. Rev. E, 2012, 86: 036707). OFR-AT is a fast and convenient program for analyzing large output data files from the OFR method, and returns the information necessary to quickly and easily calculate the PMF and D(z) in a spreadsheet. The software is described in detail in the following article: J. Comp. Phys., 231(11): 4355-4364.