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Pfleger GmbH cna software package
Cna Software Package, supplied by Pfleger GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cna+software+package/cna+software+package/pm36091400-128-6-9
Average 90 stars, based on 1 article reviews
cna software package - by Bioz Stars, 2026-09
90/100 stars

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Article Title: Uncoupling of Voltage- and Ligand-Induced Activation in HCN2 Channels by Glycine Inserts.
Article Snippet: .. Rigidity analysis was performed with the CNA software package (Pfleger et al., 2013b). ..

Article Title: Respiratory and C4-photosynthetic NAD-malic enzyme coexist in bundle sheath cell mitochondria and evolved via association of differentially adapted subunits.
Article Snippet: .. Rigidity analysis was performed using the CNA software package (Pfleger et al., 2013). .. CNA is a front- and back-end to FIRST (Jacobs et al., 2001; Pfleger et al., 2013), which is used to construct networks of covalent and noncovalent interactions from input structures (Hermans et al., 2017).

Article Title: Constraint Network Analysis (CNA): a Python software package for efficiently linking biomacromolecular structure, flexibility, (thermo-)stability, and function.
Article Snippet: For deriving maximal advantage from information on biomacromolecular flexibility and rigidity, results from rigidity analyses must be linked to biologically relevant characteristics of a structure.. Here, we describe the Python-based software package Constraint Network Analysis (CNA) developed for this task.. CNA functions as a frontand backend to the graph-based rigidity analysis software FIRST.

Article Title: Structural and dynamic insights revealing how lipase binding domain MD1 of Pseudomonas aeruginosa foldase affects lipase activation
Article Snippet: .. \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\Delta {G}_{i,{\rm{CNA}}}=\alpha (\langle {E}_{i,\,{\rm{CNA}}}^{perturbed}\rangle -\langle {E}_{i,\,{\rm{CNA}}}^{ground}\rangle )$$\end{document} Δ G i , CNA = α ( 〈 E i , CNA p e r t u r b e d 〉 − 〈 E i , CNA g r o u n d 〉 ) Parameter α has been generally determined empirically and was set to 0.02 as in Pfleger et al . \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\Delta {G}_{i,{\rm{CNA}}}$$\end{document} Δ G i , CNA was computed based on rigidity analyses performed with the CNA software package on ensembles of network topologies of the ground ( s Lif) and perturbed ( s Lif Y99A ) states. ..

Generated:

Article Title: Constraint Network Analysis (CNA): a Python software package for efficiently linking biomacromolecular structure, flexibility, (thermo-)stability, and function.
Article Snippet: For deriving maximal advantage from information on biomacromolecular flexibility and rigidity, results from rigidity analyses must be linked to biologically relevant characteristics of a structure.. Here, we describe the Python-based software package Constraint Network Analysis (CNA) developed for this task.. CNA functions as a frontand backend to the graph-based rigidity analysis software FIRST.



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