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  Computational methods in the study of self-entangled proteins: a critical appraisal

Perego, C., & Potestio, R. (2019). Computational methods in the study of self-entangled proteins: a critical appraisal. Journal of Physics: Condensed Matter, 31(44): 443001. doi:10.1088/1361-648X/ab2f19.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0005-795C-D Version Permalink: https://hdl.handle.net/21.11116/0000-0005-795D-C
Genre: Journal Article

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ab2f19 (Publisher version), 568KB
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https://hdl.handle.net/21.11116/0000-0005-795E-B
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ab2f19
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Public
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text/html / [MD5]
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Copyright Date:
2019
Copyright Info:
IOP Publishing Ltd
License:
https://creativecommons.org/licenses/by/3.0/

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 Creators:
Perego, Claudio1, Author           
Potestio, Raffaello2, 3, Author           
Affiliations:
1Dept. Kremer: Polymer Theory, MPI for Polymer Research, Max Planck Society, ou_1800287              
2INFN-TIFPA, Trento Institute for Fundamental Physics and Applications, Trento, Italy, ou_persistent22              
3Physics Department, University of Trento, Trento, Italy, ou_persistent22              

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Language(s): eng - English
 Dates: 2019-07-032019
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1088/1361-648X/ab2f19
 Degree: -

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Project name : GOKNOT
Grant ID : 796969
Funding program : H2020-EU.1.3.2. (H2020)
Funding organization : European Commission (EC)

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Title: Journal of Physics: Condensed Matter
  Abbreviation : J. Phys. Condens. Matter.
Source Genre: Journal
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Affiliations:
Publ. Info: Bristol : IOP Publishing
Pages: - Volume / Issue: 31 (44) Sequence Number: 443001 Start / End Page: - Identifier: ISSN: 0953-8984
CoNE: https://pure.mpg.de/cone/journals/resource/954928562478