Computational Prediction of Carbohydrate‐Binding Proteins and Binding Sites. (14th August 2018)
- Record Type:
- Journal Article
- Title:
- Computational Prediction of Carbohydrate‐Binding Proteins and Binding Sites. (14th August 2018)
- Main Title:
- Computational Prediction of Carbohydrate‐Binding Proteins and Binding Sites
- Authors:
- Zhao, Huiying
Taherzadeh, Ghazaleh
Zhou, Yaoqi
Yang, Yuedong - Editors:
- Coligan, John E.
Dunn, Ben M.
Speicher, David W.
Wingfield, Paul T. - Abstract:
- Abstract: Protein‐carbohydrate interaction is essential for biological systems, and carbohydrate‐binding proteins (CBPs) are important targets when designing antiviral and anticancer drugs. Due to the high cost and difficulty associated with experimental approaches, many computational methods have been developed as complementary approaches to predict CBPs or carbohydrate‐binding sites. However, most of these computational methods are not publicly available. Here, we provide a comprehensive review of related studies and demonstrate our two recently developed bioinformatics methods. The method SPOT‐CBP is a template‐based method for detecting CBPs based on structure through structural homology search combined with a knowledge‐based scoring function. This method can yield model complex structure in addition to accurate prediction of CBPs. Furthermore, it has been observed that similarly accurate predictions can be made using structures from homology modeling, which has significantly expanded its applicability. The other method, SPRINT‐CBH, is a de novo approach that predicts binding residues directly from protein sequences by using sequence information and predicted structural properties. This approach does not need structurally similar templates and thus is not limited by the current database of known protein‐carbohydrate complex structures. These two complementary methods are available at https://sparks‐lab.org . © 2018 by John Wiley & Sons, Inc.
- Is Part Of:
- Current protocols in protein science. Volume 94(2018)
- Journal:
- Current protocols in protein science
- Issue:
- Volume 94(2018)
- Issue Display:
- Volume 94, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 94
- Issue:
- 2018
- Issue Sort Value:
- 2018-0094-2018-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2018-08-14
- Subjects:
- glycan‐binding protein -- glycan‐protein binding -- glycan‐protein complex structure -- homology modeling -- protein function prediction -- template‐based structure prediction
Proteins -- Laboratory manuals
Proteins
Clinical Laboratory Techniques
Genetic Techniques
Immunologic Techniques
Proteins
Laboratory manuals
572.6028 - Journal URLs:
- https://doi.org/10.1002/0471140864 ↗
- DOI:
- 10.1002/cpps.75 ↗
- Languages:
- English
- ISSNs:
- 1934-3655
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 13683.xml