University of Padua

Statistical potentials from the Gaussian scaling behaviour of chain fragments buried within protein globules

Zamuner, Stefano and Seno, Flavio and Trovato, Antonio (2021) Statistical potentials from the Gaussian scaling behaviour of chain fragments buried within protein globules. [Data Collection]

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Collection description

Data files, scripts and figures related to the manuscript "Statistical potentials from the Gaussian scaling behaviour of chain fragments buried within protein globules" by S. Zamuner, F. Seno and A. Trovato, accepted for publication in PLoS ONE.

DOI: 10.25430/researchdata.cab.unipd.it.00000565
Keywords: Knowledge-based potentials, Gaussian scaling, buried protein fragments, Flory regime
Subjects: Life Sciences > Genetics, 'Omics', Bioinformatics and Systems Biology: Molecular genetics, quantitative genetics, genetic epidemiology, epigenetics, genomics, metagenomics, glycomics, bioinformatics, computational biology, biostatistics, systems biology proteomics, metab > Computational biology
Physical:Sciences and Engineering > Condensed Matter Physics: Structure, electronic properties, fluids, nanosciences, biological physics > Statistical physics: phase transitions, noise and fluctuations, models of complex systems, etc.
Physical:Sciences and Engineering > Condensed Matter Physics: Structure, electronic properties, fluids, nanosciences, biological physics > Physics of biological systems
Department: Departments > Dipartimento di Fisica e Astronomia "Galileo Galilei" (DFA)
Depositing User: Antonio Trovato
Date Deposited: 13 Dec 2021 08:11
Last Modified: 11 Nov 2022 11:09
Creators/Authors:
CreatorsEmailORCID
Zamuner, Stefanostefano.zamuner@protonmail.comorcid.org/0000-0003-1071-1829
Seno, Flavioflavio.seno@unipd.itorcid.org/0000-0002-9095-4726
Trovato, Antonioantonio.trovato@unipd.itorcid.org/0000-0002-1596-9477
Type of data: Mixed
Collection period:
FromTo
20192021
Resource language: English
Metadata language: English
Publisher: Research Data Unipd
Related publications:
Date: 10 December 2021
Copyright holders: The Author
Last Modified: 11 Nov 2022 11:09
URI: https://researchdata.cab.unipd.it/id/eprint/565

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