Description
BALLView FOR LINUX
BALLView is an extensible viewer for bio-molecular structures. It provides all standard models and rich functionality for molecular simulation and modeling, including molecular mechanics methods (AMBER and CHARMM force fields) and continuum electrostatics methods employing a Finite-Difference Poisso. Since BALLView is based on BALL (the Biochemical Algorithms Library), it is easily extensible at the C++ code level and has a Python interface for interactive rapid prototyping.
Key Features:
- Integrated molecule editor
- Merck Molecular Force Field (MMFF 94)
- Automated download of structures from PDB and PubChem
- Extended visualization with volume rendering and field lines for electrostatics
- Improved cartoon and ribbon models
- Non-photorealistic shading
- Off-screen rendering
- Numerous interface improvements
- Autobuild script for simpler installation of BALL and BALLView
- Support for PowerPC architecture on Linux
- Improved support for MacOS
Additional Information:
Publisher: Andreas Moll
Price: FREE
Created at: 2024-06-20
Updated at: 2025-04-24
Publisher Link: Publisher Page
User Reviews for BALLView FOR LINUX 7
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for BALLView FOR LINUX
BALLView FOR LINUX is a game-changer for bio-molecular structure visualization with its rich functionality and easy extensibility through C++ code.
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for BALLView FOR LINUX
BALLView is an exceptional tool for bio-molecular visualization. The new features make it so user-friendly!
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for BALLView FOR LINUX
Absolutely love BALLView! The integrated molecule editor and improved interface enhance my research experience.
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for BALLView FOR LINUX
This app is a game changer! With its extensive functionality, BALLView makes molecular simulation effortless.
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for BALLView FOR LINUX
I can't recommend BALLView enough! The volume rendering and electrostatics visualization are top-notch.
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for BALLView FOR LINUX
BALLView has transformed how I work with molecular structures. The new features are incredibly useful!
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for BALLView FOR LINUX
Fantastic app! BALLView's enhancements have made molecular modeling much more efficient and enjoyable.