Jul 2026· Journal of Chemical Information and Modeling· Vol 66, pp. 10141 - 10155· 0 citations· 67 references
Medicine
TL;DR
The Pharmacon toolkit provides a streamlined, automated workflow that simplifies the routine analysis and postprocessing of MD simulation results of biomacromolecular complexes, making them more accessible and reproducible by aggregating many tedious and time-consuming tasks into a single command-line workflow.
Abstract
We present the Pharmacon toolkit, a pure Python command-line software package for analyzing molecular dynamics (MD) simulations of biomacromolecules. Pharmacon supports trajectories generated by widely used MD simulation engines, such as Amber, Gromacs, CHARMM, NAMD, and OpenMM. Pharmacon is written entirely in Python and uses popular third-party libraries, including MDAnalysis for trajectory handling and NumPy for data processing. The toolkit provides a streamlined, automated workflow that simplifies the routine analysis and postprocessing of MD simulation results of biomacromolecular complexes, making them more accessible and reproducible by aggregating many tedious and time-consuming tasks into a single command-line workflow. As a proof of concept, we applied Pharmacon to analyze, in comparison with other toolkits, results from MD simulations, including intermolecular interactions and geometric measures, across different test protein complexes, including three membrane proteins and one soluble protein complex.
A practical overview of classical atomistic MD methodologies commonly used in medicinal chemistry, including force-field-based simulations, enhanced sampling techniques, and free-energy calculation methods such as alchemical and end-point approaches are provided.
S. S. Çınaroğlu· Mini-Reviews in Medical Chem...· 1 citation
Classical molecular dynamics is a theoretical method useful for investigating noncovalent intermolecular interactions and conformational flexibility, enabling the simulation of processes such as aggregation/dissolution and adsorption. Molecular dynamics and quantum chemistry are increasingly introduced in chemistry c...
C. Picarelli, G. Raffaini, M. Tommasini· Journal of Chemical Educatio...· 0 citations
A new software package, Fast-Forward, which aids parametrization of models for the widely used Martini coarse-grained force field, and offers a system-agnostic suite of tools to parametrize molecules of any size, existing in any environment.
Christopher Brasnett, Maximilian Fidlin, Thilo Duve et al.· Journal of Chemical Informat...· 1 citation· ⚡1
The results demonstrate that GROMACS-GaMD provides a practical, GPU-enabled, collective-variable-free enhanced-sampling framework for biomolecular free-energy calculations, protein folding, and ligand-binding studies.
The feasibility of AI-assisted meta-analysis for understanding historical trends in scientific computing workloads is demonstrated and suggests that MD system sizes and the number of independent runs have not grown substantially over the last two decades, whereas simulation duration shows a clearer, approximately expon...
Alexey N. Simakov, Nikolay A. Simakov· Practice and Experience in A...· 0 citations
This Perspective surveys the central methodological challenges in developing ML/MM frameworks, including the generation of high-quality reference data and the treatment of multiscale coupling.
Xinhu Sha, Chenyu Wu, Daiqian Xie et al.· Journal of Physical Chemistr...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.