dynamispectra
DynamiSpectra: Decode molecular motion with precision and power
Science Score: 67.0%
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Repository
DynamiSpectra: Decode molecular motion with precision and power
Basic Info
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Overview
DynamiSpectra: from molecular dynamics simulations to comprehensive data analysis
DynamiSpectra is an advanced Python package designed for analyzing molecular dynamics simulation data. Built to process and interpret results primarily from GROMACS <https://www.gromacs.org/> structure, DynamiSpectra provides a streamlined and efficient workflow for researchers in the field of molecular dynamics. By leveraging the power of Python, this package enables users to perform complex analyses, visualize molecular behaviors, and gain valuable insights from simulation outputs. Whether you're studying protein folding, ligand interactions, or other molecular phenomena, DynamiSpectra empowers you to dive deep into your data and uncover meaningful patterns.
It provides powerful tools to calculate and visualize a wide range of molecular properties, including Hydrogen bonds, Root Mean Square Deviation (RMSD), Root Mean Square Fluctuation (RMSF), Solvent Accessible Surface Area (SASA), Radius of Gyration (Rg), Molecular Orientation, Secondary Structure Analysis, Binding Energy, Protein-Ligand Contacts, System Density, Temperature and Pressure, Distance Matrix, Hydrophobic Contacts, Ligand Dihedral Angles, Protein Rotamers, Phi and Psi Angles, and Salt Bridges. These features enable researchers to gain deep insights into the dynamics of molecular systems, study conformational changes, and investigate interactions between molecules with greater precision.
Installation
::
pip install DynamiSpectra
You can also install the in-development version with::
pip install https://github.com/Conradoou/DynamiSpectra/archive/main.zip
Note: DynamiSpectra uses the package SciPy, which requires a fortran compiler to be installed to build its source,which can be tricky on some systems. An alternative to this is to use Anaconda environment. DynamiSpectra can then be more easily installed within this environment, using the command line or preferred method. Installing DynamiSpectra may take some time on certain systems. If you observe the command line halting, please be patient, as the installation process may require seconds to minutes to complete.
Documentation
📄 Paper
Authors
Iverson Conrado Bezerra
Orcid: 0000-0003-0524-8913
E-mail: iverson.coonrado@gmail.com
Register
DynamiSpectra is registered with the Brazilian National Institute of Industrial Property (INPI) under the code BR 51 2025 002221-2.
Demo
In the repository, specifically in DynamiSpectra/datas, there are several folders for each analysis with the corresponding GROMACS output data for testing.
Owner
- Login: Conradoou
- Kind: user
- Location: Brazil
- Company: Keizo Asami Institute
- Repositories: 1
- Profile: https://github.com/Conradoou
Citation (Citation.cff)
cff-version: 1.2.0
message: "If you use DynamiSpectra in your research or project, please cite it as follows:"
authors:
- given-names: Iverson
family-names: Conrado Bezerra
orcid: "https://orcid.org/0000-0003-0524-8913"
title: "DynamiSpectra"
version: 1.1.0
doi: "10.XXXX/XXXXXX"
date-released: 2023-10-01
url: "https://github.com/Conradoou/DynamiSpectra"
repository-code: "https://github.com/Conradoou/DynamiSpectra"
license: MIT
keywords:
- "Molecular dynamics"
- "data processing"
- "python"
- "scientific computing"
abstract: "DynamiSpectra: Decode molecular motion with precision and power."
Bezerra, I.C. (2025). DynamiSpectra (Version 1.1.0) [Computer software]. https://github.com/Conradoou/DynamiSpectra
GitHub Events
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- Watch event: 3
- Push event: 108
- Create event: 7
Last Year
- Watch event: 3
- Push event: 108
- Create event: 7
Packages
- Total packages: 1
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Total downloads:
- pypi 38 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 10
- Total maintainers: 1
pypi.org: dynamispectra
Scripts for Molecular dynamics analysis
- Homepage: https://github.com/Conradoou/DynamiSpectra
- Documentation: https://dynamispectra.readthedocs.io/
- License: MIT
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Latest release: 1.1.0
published 11 months ago