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Title:Binding affinity prediction of nanobody–protein complexes by scoring of molecular dynamics trajectories
Authors:ID Soler, Miguel, SISSA (Author)
ID Fortuna, Sara, SISSA (Author)
ID De Marco, Ario, University of Nova Gorica (Author)
ID Laio, Alessandro, SISSA (Author), et al.
Files: This document has no files that are freely available to the public. This document may have a physical copy in the library of the organization, check the status via COBISS. Link is opened in a new window
Language:English
Work type:Not categorized
Typology:1.01 - Original Scientific Article
Organization:UNG - University of Nova Gorica
Keywords:in silico modeling, nanobodies, binding affinity prediction
Publication version:Author Accepted Manuscript
Year of publishing:2018
Number of pages:7
Numbering:20
PID:20.500.12556/RUNG-3532-61583162-76ae-ff96-63a1-f417dda60aab New window
COBISS.SI-ID:4987131 New window
NUK URN:URN:SI:UNG:REP:ZBFLVIYX
Publication date in RUNG:15.01.2018
Views:5291
Downloads:0
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SOLER, Miguel, FORTUNA, Sara, DE MARCO, Ario and LAIO, Alessandro, 2018, Binding affinity prediction of nanobody–protein complexes by scoring of molecular dynamics trajectories. Physical Chemistry Chemical Physics [online]. 2018. Vol. 20. [Accessed 21 April 2025]. Retrieved from: https://repozitorij.ung.si/IzpisGradiva.php?lang=eng&id=3532
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Record is a part of a journal

Title:Physical Chemistry Chemical Physics
Year of publishing:2018

Document is financed by a project

Funder:ARRS - Slovenian Research Agency

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:14.01.2018

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