
MDAnalysis
The industry-standard Python library for high-performance molecular dynamics trajectory analysis.
Rosetta Commons provides cutting-edge computational methods and shared software for biomolecular modeling and design, fostering open science and accelerating discovery through community collaboration.

Rosetta Commons is a collaborative software suite used for biomolecular modeling and design. It provides a range of computational tools for predicting and designing protein structures, protein-protein interactions, and protein-ligand binding. Built upon a foundation of physics-based and knowledge-based energy functions, Rosetta enables researchers to explore the conformational landscape of biomolecules and optimize their properties for various applications. The software is primarily used by researchers in structural biology, protein engineering, drug discovery, and related fields to advance scientific understanding and develop new biotechnologies. Its open-source nature fosters collaboration and innovation within the scientific community, accelerating breakthroughs in diverse areas such as vaccine design and enzyme engineering. Rosetta also offers tools for antibody design, membrane protein modeling, and the development of novel biomaterials.
Rosetta Commons is a collaborative software suite used for biomolecular modeling and design.
Explore all tools that specialize in predict protein structures from amino acid sequences. This domain focus ensures Rosetta delivers optimized results for this specific requirement.
Explore all tools that specialize in design novel proteins with desired functions. This domain focus ensures Rosetta delivers optimized results for this specific requirement.
Explore all tools that specialize in model protein-protein interactions. This domain focus ensures Rosetta delivers optimized results for this specific requirement.
Explore all tools that specialize in simulate protein dynamics. This domain focus ensures Rosetta delivers optimized results for this specific requirement.
Explore all tools that specialize in optimize protein stability. This domain focus ensures Rosetta delivers optimized results for this specific requirement.
Explore all tools that specialize in engineer antibodies with improved binding affinity. This domain focus ensures Rosetta delivers optimized results for this specific requirement.
Predicts the 3D structure of a protein from its amino acid sequence using a combination of physics-based and knowledge-based energy functions to sample conformational space and identify the lowest energy structure.
Allows users to design novel proteins with desired properties by optimizing the amino acid sequence for stability, binding affinity, or catalytic activity. Employs a variety of sequence optimization algorithms and energy functions to identify optimal designs.
Predicts the structure of protein-protein complexes by sampling different orientations and conformations of the interacting proteins and scoring them based on their binding energy. Accounts for both shape complementarity and energetic interactions.
Predicts the binding mode of small molecules to proteins by sampling different poses and conformations of the ligand within the protein's binding site and scoring them based on their binding affinity. Accounts for both shape complementarity and energetic interactions.
Enables the prediction and design of membrane protein structures, which are challenging due to their complex environment. Utilizes specialized energy functions and sampling techniques to account for the hydrophobic environment of the lipid bilayer.
Download the Rosetta software package from the Rosetta Commons website (https://www.rosettacommons.org/).
Obtain a license for academic/non-profit or commercial use.
Install Rosetta by following the instructions specific to your operating system (Linux, macOS).
Set up the Rosetta environment variables.
Download the Rosetta database, which contains pre-computed data and parameters necessary for calculations.
Familiarize yourself with the Rosetta documentation and tutorials.
Run example Rosetta protocols to verify the installation and learn the basic usage.
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Verified feedback from other users.
"Rosetta is a widely used and respected tool in the biomolecular modeling community, known for its accuracy and versatility in protein structure prediction and design. However, its complexity and steep learning curve can be challenging for new users."
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The industry-standard Python library for high-performance molecular dynamics trajectory analysis.

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