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Title:Affinity maturation of antibody fragments : a review encompassing the development from random approaches to computational rational optimization
Authors:ID Liu, Jiaqi (Author)
ID Kang, Guangbo (Author)
ID Wang, Jiewen (Author)
ID Yuan, Haibin (Author)
ID Wu, Yili (Author)
ID Meng, Shuxian (Author)
ID Wang, Ping (Author)
ID Zhang, Miao (Author)
ID Wang, Yuli (Author)
ID Feng, Yuanhang (Author)
ID Huang, He (Author)
ID De Marco, Ario (Author)
Files:.pdf in_silico_review.pdf (2,21 MB)
MD5: FF473B09AB211F7138D77820604221E0
 
Language:English
Work type:Unknown
Typology:1.02 - Review Article
Organization:UNG - University of Nova Gorica
Keywords:deep learning, protein modeling, random mutagenesis, rational mutagenesis
Publication date:01.01.2023
Year of publishing:2023
Number of pages:str. 1-13
Numbering:Vol. 247, [article no.] ǂ125733
PID:20.500.12556/RUNG-8309-5fe9bb70-a71e-410c-8092-913cdc02d12b New window
COBISS.SI-ID:159012099 New window
UDC:577
ISSN on article:0141-8130
DOI:10.1016/j.ijbiomac.2023.125733 New window
NUK URN:URN:SI:UNG:REP:4E7HKVOH
Publication date in RUNG:17.07.2023
Views:836
Downloads:4
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Record is a part of a journal

Title:International journal of biological macromolecules
Shortened title:Int. j. biol. macromol.
Publisher:Butterworth Scientific Ltd, Elsevier
ISSN:0141-8130
COBISS.SI-ID:25637888 New window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

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