PySSA for Windows: End-User Protein Structure Prediction and Visual Analysis with ColabFold and PyMOL

PySSA (Python rich client for visual protein Sequence to Structure Analysis) for Windows is a comfortable open Graphical User Interface (GUI) application combining the protein sequence to structure prediction capabilities of ColabFold with the open-source variant of the molecular structure visualization and analysis system PyMOL to make both available to the scientific end-user. PySSA enables the creation and sharing of workflow projects that comprise defined protein 3D structure predictions from their amino acid sequence, protein 3D structure alignments, as well as their visual analysis with distance diagrams or hotspot inspection. All operations can be conveniently performed by scientists without specialized computer skills or even programming knowledge on their local Windows computers, without the need for powerful GPU hardware. Thus, PySSA can help make protein structure prediction more accessible for end-users in scientific research areas like protein chemistry or molecular biology. In addition, the application is well-suited for educational purposes due to its user-friendliness and low learning curve. PySSA is openly available on GitHub, alongside a convenient installer executable for the Windows operating system: https://urban233.github.io/PySSA/install.html. To demonstrate its capabilities, the usage of PySSA in a protein mutation study on the protein drug Bone Morphogenetic Protein 2 (BMP2) is described: the structure prediction results indicate that the previously reported BMP2-2Hep-7M mutant, which is intended to be less prone to aggregation, does not exhibit significant spatial rearrangements of amino acid residues interacting with the receptor.

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Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2025-06-03
DOI
https://doi.org/10.1021/acs.jcim.5c00797
Citations
1
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
0.81
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article

PySSA for Windows: End-User Protein Structure Prediction and Visual Analysis with ColabFold and PyMOL

Jonas Schaub, Achim Zielesny, Hannah Kullik, Angelika Loidl-Stahlhofen et al.
1 citations
Journal of Chemical Information and Modeling
Protein Structure and Dynamics
0.81
article

PySSA for Windows: End-User Protein Structure Prediction and Visual Analysis with ColabFold and PyMOL

Jonas Schaub, Achim Zielesny, Hannah Kullik, Angelika Loidl-Stahlhofen, Urban Martin
article en
1 citations

Abstract

PySSA (Python rich client for visual protein Sequence to Structure Analysis) for Windows is a comfortable open Graphical User Interface (GUI) application combining the protein sequence to structure prediction capabilities of ColabFold with the open-source variant of the molecular structure visualization and analysis system PyMOL to make both available to the scientific end-user. PySSA enables the creation and sharing of workflow projects that comprise defined protein 3D structure predictions from their amino acid sequence, protein 3D structure alignments, as well as their visual analysis with distance diagrams or hotspot inspection. All operations can be conveniently performed by scientists without specialized computer skills or even programming knowledge on their local Windows computers, without the need for powerful GPU hardware. Thus, PySSA can help make protein structure prediction more accessible for end-users in scientific research areas like protein chemistry or molecular biology. In addition, the application is well-suited for educational purposes due to its user-friendliness and low learning curve. PySSA is openly available on GitHub, alongside a convenient installer executable for the Windows operating system: https://urban233.github.io/PySSA/install.html. To demonstrate its capabilities, the usage of PySSA in a protein mutation study on the protein drug Bone Morphogenetic Protein 2 (BMP2) is described: the structure prediction results indicate that the previously reported BMP2-2Hep-7M mutant, which is intended to be less prone to aggregation, does not exhibit significant spatial rearrangements of amino acid residues interacting with the receptor.

Journal of Chemical Information and ModelingVol. 65(12)
Friedrich Schiller University Jena (DE)
Zero hunger
Openalex Percentile: Top 27%
Protein Structure and Dynamics
0.81
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PySSA for Windows: End-User Protein Structure Prediction and Visual Analysis with ColabFold and PyMOL — Jonas Schaub, Achim Zielesny, et al. · Journal of Chemical Information and Modeling (2025) | TGRS Research Map | TGRS