Modelling and Simulations of Extracellular Glycoproteins
Author:
Publisher
Springer US
Link
https://link.springer.com/content/pdf/10.1007/978-1-0716-2946-8_21
Reference19 articles.
1. Rao RM, Dauchez M, Baud S (2022) How molecular modelling can better broaden the understanding of glycosylations. Opinion in Structural Biology 75:102393. https://doi.org/10.1016/j.sbi.2022.102393
2. Jo S, Kim T, Iyer VG, Im W (2008) CHARMM-GUI: a web-based graphical user interface for CHARMM. J Comput Chem 29(11):1859–1865. https://doi.org/10.1002/jcc.20945
3. Jo S, Song KC, Desaire H, MacKerell AD, Im W (2011) Glycan reader: automated sugar identification and simulation preparation for carbohydrates and glycoproteins. J Comput Chem 32(14):3135–3141. https://doi.org/10.1002/jcc.21886
4. Liu H, Nowak C, Andrien B, Shao M, Ponniah G, Neill A (2017) Impact of IgG fc-oligosaccharides on recombinant monoclonal antibody structure, stability, safety, and efficacy. Biotechnol Prog 33(5):1173–1181. https://doi.org/10.1002/btpr.2498
5. Huang J, Rauscher S, Nawrocki G, Ran T, Feig M, de Groot BL, Grubmüller H, MacKerell AD (2017) CHARMM36m: an improved force field for folded and intrinsically disordered proteins. Nat Methods 14(1):71–73. https://doi.org/10.1038/nmeth.4067
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