Jupyter Notebook Classical Molecular Interaction Potentials
View on GitHub
Download RO-CrateCMIP tutorial using BioExcel Building Blocks (biobb)
This tutorial aims to illustrate the process of computing classical molecular interaction potentials from protein structures, step by step, using the BioExcel Building Blocks library (biobb). Examples shown are Molecular Interaction Potentials (MIPs) grids, protein-protein/ligand interaction potentials, and protein titration. The particular structures used are the Lysozyme protein (PDB code 1AKI), and a MD simulation of the complex formed by the SARS-CoV-2 Receptor Binding Domain and the human Angiotensin Converting Enzyme 2 (PDB code 6VW1).
The code wrapped is the Classical Molecular Interaction Potentials (CMIP) code:
Classical molecular interaction potentials: Improved setup procedure in molecular dynamics simulations of proteins. Gelpí, J.L., Kalko, S.G., Barril, X., Cirera, J., de la Cruz, X., Luque, F.J. and Orozco, M. (2001) Proteins, 45: 428-437. https://doi.org/10.1002/prot.1159
Copyright & Licensing
This software has been developed in the MMB group at the BSC & IRB for the European BioExcel, funded by the European Commission (EU H2020 823830, EU H2020 675728).
- (c) 2015-2026 Barcelona Supercomputing Center
- (c) 2015-2026 Institute for Research in Biomedicine
Licensed under the Apache License 2.0, see the file LICENSE for details.
Version History
Version 4 (latest) Created 24th Mar 2026 at 16:41 by Genís Bayarri
Update to 5.2.*
Frozen
Version-42598f9d
Version 1 (earliest) Created 4th Mar 2024 at 14:46 by Genís Bayarri
Initial commit
Frozen
Version-1
f62d5fc
Creators and Submitter
Views: 4222 Downloads: 2069
Created: 4th Mar 2024 at 14:46
Last updated: 24th Mar 2026 at 16:41
TagsThis item has not yet been tagged.
AttributionsNone
Collections
Interactive Jupyter...
Related items
https://orcid.org/0000-0003-0513-0288
BioExcel is the leading European Centre of Excellence for Computational Biomolecular Research. Established in 2015, the centre has grown into a major research and innovation hub for scientific computing. BioExcel develops some of the most popular applications for modelling and simulations of biomolecular systems. A broad range of additional pre-/post-processing tools are integrated with the core applications within user-friendly workflows and container solutions.
The software stack comes with ...
Teams: BioBB Building Blocks, BioExcel Best Practice Guides
Web page: https://bioexcel.eu/
The BioExcel Building Blocks (biobb) software library is a collection of Python wrappers on top of popular biomolecular simulation tools. This library offers a layer of interoperability between the wrapped tools, which make them compatible and prepared to be directly interconnected to build complex biomolecular workflows. The building blocks can be used in many different workflow systems, including Galaxy, CWL, Jupyter Notebook and PyCOMPSs – notably their ...
Space: BioExcel
Public web page: https://mmb.irbbarcelona.org/biobb/
Interactive Jupyter Notebooks in combination with Conda environments can be used to generate FAIR (Findable, Accessible, Interoperable and Reusable/Reproducible) biomolecular simulation workflows. The interactive programming code accompanied by documentation, and the possibility to inspect intermediate results with versatile graphical charts and data visualization is very helpful, especially in iterative processes, where parameters might be adjusted to a particular system of interest. This work ...
