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Protein-Carbohydrate Interactions

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dc.contributor.authorMalik, A-
dc.contributor.authorBaig, MH-
dc.contributor.authorManavalan, B-
dc.date.accessioned2020-08-26T07:05:25Z-
dc.date.available2020-08-26T07:05:25Z-
dc.date.issued2019-
dc.identifier.isbn9780128114322-
dc.identifier.urihttp://repository.ajou.ac.kr/handle/201003/18657-
dc.description.abstractNumerous biological processes are dependent on the interaction of proteins with carbohydrates, rendering glycan-binding proteins as potential targets for new medicines. With the rapid growth in genomic data, novel computational methods can be applied to pinpoint putative carbohydrate-binding sites in proteins, for experimental validation. Here, we review the recent developments in the structure and sequence-based protein carbohydrate binding site prediction methods. An attempt has been made to show the developments and the applications for each such method in a chronological order.(p< 0.001)-
dc.language.isoen-
dc.titleProtein-Carbohydrate Interactions-
dc.typeBook-
dc.subject.keywordCarbohydrate binding sites-
dc.subject.keywordDocking-
dc.subject.keywordForce fields-
dc.subject.keywordMachine learning-
dc.subject.keywordMolecular dynamics simulations-
dc.subject.keywordProtein-carbohydrate interactions-
dc.subject.keywordSequence-based methods-
dc.subject.keywordStructure-based methods-
dc.contributor.affiliatedAuthorBalachandran, Manavalan-
dc.type.localBook-
dc.identifier.doi10.1016/B978-0-12-809633-8.20661-4-
dc.citation.titleEncyclopedia of Bioinformatics and Computational Biology-
dc.citation.volume3-
dc.citation.date2019-
dc.citation.startPage666-
dc.citation.endPage677-
dc.citation.placeOxford-
dc.citation.publisherAcademic Press-
dc.identifier.bibliographicCitationEncyclopedia of Bioinformatics and Computational Biology, 3:666-677, 2019-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
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