Challenges and Limitations in the Studies of Glycoproteins: A Computational Chemist's Perspective
Document Type
Article
Publication Date
2021
Digital Object Identifier (DOI)
https://doi.org/10.1002/prot.26242
Abstract
Experimenters face challenges and limitations while analyzing glycoproteins due to their high flexibility, stereochemistry, anisotropic effects, and hydration phenomena. Computational studies complement experiments and have been used in characterization of the structural properties of glycoproteins. However, recent investigations revealed that computational studies face significant challenges as well. Here, we introduce and discuss some of these challenges and weaknesses in the investigations of glycoproteins. We also present requirements of future developments in computational biochemistry and computational biology areas that could be necessary for providing more accurate structural property analyses of glycoproteins using computational tools. Further theoretical strategies that need to be and can be developed are discussed herein.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Proteins: Structure, Function, and Bioinformatics, v. 90, issue 2, p. 322-339
Scholar Commons Citation
Balli, Oyku Irem; Uversky, Vladimir N.; Durdagi, Serdar; and Coskuner-Weber, Orkid, "Challenges and Limitations in the Studies of Glycoproteins: A Computational Chemist's Perspective" (2021). Molecular Medicine Faculty Publications. 986.
https://digitalcommons.usf.edu/mme_facpub/986
