Computational Prediction of Carbohydrate-Binding Proteins and Binding Sites-Reference-Cited by-同舟云学术

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Computational Prediction of Carbohydrate-Binding Proteins and Binding Sites

Published:2018-08-14 Issue:1 Volume:94 Page:e75
ISSN:1934-3655
Container-title:Current Protocols in Protein Science
language:en
Short-container-title:Current Protocols in Protein Science

Author:

Zhao Huiying¹,Taherzadeh Ghazaleh²,Zhou Yaoqi²³,Yang Yuedong²³⁴

Affiliation:

1. Sun Yat-Sen Memorial Hospital, Sun Yat-sen University; Guangzhou China

2. School of Information and Communication Technology, Griffith University; Gold Coast Queensland Australia

3. Institute for Glycomics, Griffith University; Gold Coast Queensland Australia

4. School of Data and Computer Science, Sun Yat-sen University; Guangzhou China

Funder

National Health and Medical Research Council

National Natural Science Foundation of China

Publisher

Wiley

Subject

Biochemistry,General Medicine,Structural Biology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cpps.75/fullpdf

Reference53 articles.

1. Identification of mannose interacting residues using local composition;Agarwal;PLoS One,2011

2. Gapped BLAST and PSI-BLAST: A new generation of protein database search programs;Altschul;Nucleic Acids Research,1997

3. A threading-based method (FINDSITE) for ligand-binding site prediction and functional annotation;Brylinski;Proceedings of the National Academy of Sciences,2008

4. Structural genomics: Beyond the human genome project;Burley;Nature Genetics,1999

5. Characterizing the existing and potential structural space of proteins by large-scale multiple loop permutations;Dai;Journal of Molecular Biology,2011

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2. PeSTo-Carbs: Geometric Deep Learning for Prediction of Protein–Carbohydrate Binding Interfaces;Journal of Chemical Theory and Computation;2024-04-11

3. Computational Simulations of Glycan Recognition by Lectins and Other Carbohydrate Binding Proteins;Comprehensive Computational Chemistry;2024

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