henhaobio
Sign in

PLoS Computational BiologyBioinformaticsPeer-reviewed journal article

mdciao: Accessible Analysis and Visualization of Molecular Dynamics Simulation Data

Guillermo Pérez‐HernándeziD, Peter Werner HildebrandiD

PDFDOIPreprintCode

Abstract

We present mdciao, an open-source command line tool and Python Application-Programmers-Interface (API) for easy, one-shot analysis and representation of molecular dynamics (MD) simulation data. Building upon the widely used concept of residue-residue contact-frequencies, mdciao offers a wide spectrum of further analysis and representations, enriched with domain specific annotations when possible. It tries offer a user-friendly interface, which simplifies most decisions for non-expert users, while keeping customizability for expert ones. Emphasis has been put into automatically producing annotated, paper-ready figures and tables. Furthermore, seamless on-the-fly query and inclusion of consensus nomenclatures for GPCR, G-proteins, and kinases is made possible through the respective online databases, which allows for bulk selection and comparison across different systems. Finally, the fully documented Python API allows users to include the basic or advanced mdciao functions in their analysis workflows, and provides numerous examples and Jupyter Notebook Tutorials. The source code is published under the GNU Lesser General Public License v3.0 or later and hosted on https://github.com/gph82/mdciao.

Citations
36
FWCI
7.47
Field percentile
top 2%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISMcGibbon '15Shrimpton-P '24Bray '20Jaeger-Honz '25Irrgang '22Ross '18
68% semantic matchBioinformatics
Robert T McGibbon, Kyle A Beauchamp, Christian R Schwantes+6 more·Biophysical Journal·Oct 1, 2015