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TRAMbio: a flexible python package for graph rigidity analysis of macromolecules
by
Reinhardt, Franziska
, Handke, Nicolas
, Stadler, Peter F.
, Gatter, Thomas
in
(k l)-sparse graphs
/ Algorithms
/ Bioinformatics
/ Biological research
/ Biology, Experimental
/ Biomedical and Life Sciences
/ Chemical bonds
/ Computational Biology - methods
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ Computer programs
/ Denaturation
/ Euclidean space
/ Graphic methods
/ Graphs
/ Life Sciences
/ Macromolecular Substances - chemistry
/ Macromolecules
/ Microarrays
/ Models, Molecular
/ Molecular biology
/ Molecular structure
/ NMR
/ Nuclear magnetic resonance
/ Pebble game
/ Polynomials
/ Protein Conformation
/ Protein folding
/ Protein structure
/ Proteins
/ Proteins - chemistry
/ Python (Programming language)
/ Rigid graph
/ Rigidity
/ Science
/ Software
/ Structure
2025
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TRAMbio: a flexible python package for graph rigidity analysis of macromolecules
by
Reinhardt, Franziska
, Handke, Nicolas
, Stadler, Peter F.
, Gatter, Thomas
in
(k l)-sparse graphs
/ Algorithms
/ Bioinformatics
/ Biological research
/ Biology, Experimental
/ Biomedical and Life Sciences
/ Chemical bonds
/ Computational Biology - methods
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ Computer programs
/ Denaturation
/ Euclidean space
/ Graphic methods
/ Graphs
/ Life Sciences
/ Macromolecular Substances - chemistry
/ Macromolecules
/ Microarrays
/ Models, Molecular
/ Molecular biology
/ Molecular structure
/ NMR
/ Nuclear magnetic resonance
/ Pebble game
/ Polynomials
/ Protein Conformation
/ Protein folding
/ Protein structure
/ Proteins
/ Proteins - chemistry
/ Python (Programming language)
/ Rigid graph
/ Rigidity
/ Science
/ Software
/ Structure
2025
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Do you wish to request the book?
TRAMbio: a flexible python package for graph rigidity analysis of macromolecules
by
Reinhardt, Franziska
, Handke, Nicolas
, Stadler, Peter F.
, Gatter, Thomas
in
(k l)-sparse graphs
/ Algorithms
/ Bioinformatics
/ Biological research
/ Biology, Experimental
/ Biomedical and Life Sciences
/ Chemical bonds
/ Computational Biology - methods
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ Computer programs
/ Denaturation
/ Euclidean space
/ Graphic methods
/ Graphs
/ Life Sciences
/ Macromolecular Substances - chemistry
/ Macromolecules
/ Microarrays
/ Models, Molecular
/ Molecular biology
/ Molecular structure
/ NMR
/ Nuclear magnetic resonance
/ Pebble game
/ Polynomials
/ Protein Conformation
/ Protein folding
/ Protein structure
/ Proteins
/ Proteins - chemistry
/ Python (Programming language)
/ Rigid graph
/ Rigidity
/ Science
/ Software
/ Structure
2025
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TRAMbio: a flexible python package for graph rigidity analysis of macromolecules
Journal Article
TRAMbio: a flexible python package for graph rigidity analysis of macromolecules
2025
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Overview
Background
Insight into the rigidity or flexibility of molecular structures is integral for a series of common research questions in molecular biology, including the identification of functional regions, simulated protein unfolding, or tracking and prediction of conformational changes in proteins over time. Determining rigidity in 3-dimensional space is a difficult problem in general. For a well-defined subclass of frameworks, however, this task can be solved in polynomial time with the help of constraint counting algorithms known as pebble games. Although this approach is well established, no easy-to-use implementation of the pebble game algorithm in the context of general graph analysis and molecular rigidity is currently available to researchers.
Results
To close this gap, we developed
TRAMbio
, a Python-based software tool for Topological Rigidity Analysis in Molecular Biology. We summarize and discuss the theoretical foundation of the pebble game and how it can be applied to molecular rigidity.
Conclusions
TRAMbio
performs well even on large molecules and on discrete time series of protein movement. Results are accessible for both bioinformaticians and biologists, as rigid components can be rendered using standard molecular visualization platforms.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
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