Protein-Carbohydrate Interactions

Adeel Malik; Mohammad H. Baig; Balachandran Manavalan

doi:10.1016/B978-0-12-809633-8.20661-4

Protein-Carbohydrate Interactions

Adeel Malik
, Mohammad H. Baig
, Balachandran Manavalan

Chungnam National University
Yeungnam University
Ajou University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

4 Scopus citations

Abstract

Numerous 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.

Original language	English
Title of host publication	Encyclopedia of Bioinformatics and Computational Biology
Subtitle of host publication	ABC of Bioinformatics
Publisher	Elsevier
Pages	666-677
Number of pages	12
ISBN (Electronic)	9780128114148
ISBN (Print)	9780128114322
DOIs	https://doi.org/10.1016/B978-0-12-809633-8.20661-4
State	Published - 1 Jan 2019
Externally published	Yes

Keywords

Carbohydrate binding sites
Docking
Force fields
Machine learning
Molecular dynamics simulations
Protein-carbohydrate interactions
Sequence-based methods
Structure-based methods

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10.1016/B978-0-12-809633-8.20661-4

Cite this

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keywords = "Carbohydrate binding sites, Docking, Force fields, Machine learning, Molecular dynamics simulations, Protein-carbohydrate interactions, Sequence-based methods, Structure-based methods",

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AU - Baig, Mohammad H.

AU - Manavalan, Balachandran

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AB - Numerous 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.

KW - Carbohydrate binding sites

KW - Docking

KW - Force fields

KW - Machine learning

KW - Molecular dynamics simulations

KW - Protein-carbohydrate interactions

KW - Sequence-based methods

KW - Structure-based methods

UR - https://www.scopus.com/pages/publications/105011459372

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SN - 9780128114322

SP - 666

EP - 677

BT - Encyclopedia of Bioinformatics and Computational Biology

PB - Elsevier

ER -

Protein-Carbohydrate Interactions

Abstract

Keywords

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