Myungjin Lee1, Mateo Reveiz1, Reda Rawi1, Peter D Kwong1,2, Gwo-Yu Chuang1. 1. Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA. 2. Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA.
Abstract
MOTIVATION: Glycans play important roles in protein folding and cell-cell interactions-and, furthermore, glycosylation of protein antigens can dramatically impact immune responses. While there have been attempts to quantify the glycan shielding or coverage of a protein surface, none of the publicly available tools analyzes glycan shielding computationally at an atomistic level. RESULTS: Here, we developed an in silico approach, GLYCO (GLYcan COverage), to quantify the glycan shielding of a protein surface. The software provides insights into glycan-dense/sparse regions of the entire protein surface or a subset of the protein surface. GLYCO calculates glycan shielding from a single coordinate file or from multiple coordinate files, for instance, as obtained from molecular dynamics simulations or by nuclear magnetic resonance spectroscopy structure determination, enabling analysis of glycan dynamics. Overall, GLYCO provides fundamental insights into the glycan shielding of glycosylated proteins. AVAILABILITY AND IMPLEMENTATION: GLYCO is freely available at GitHub (https://github.com/myungjinlee/GLYCO). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Published by Oxford University Press 2021. This work is written by US Government employees and is in the public domain in the US.
MOTIVATION: Glycans play important roles in protein folding and cell-cell interactions-and, furthermore, glycosylation of protein antigens can dramatically impact immune responses. While there have been attempts to quantify the glycan shielding or coverage of a protein surface, none of the publicly available tools analyzes glycan shielding computationally at an atomistic level. RESULTS: Here, we developed an in silico approach, GLYCO (GLYcan COverage), to quantify the glycan shielding of a protein surface. The software provides insights into glycan-dense/sparse regions of the entire protein surface or a subset of the protein surface. GLYCO calculates glycan shielding from a single coordinate file or from multiple coordinate files, for instance, as obtained from molecular dynamics simulations or by nuclear magnetic resonance spectroscopy structure determination, enabling analysis of glycan dynamics. Overall, GLYCO provides fundamental insights into the glycan shielding of glycosylated proteins. AVAILABILITY AND IMPLEMENTATION: GLYCO is freely available at GitHub (https://github.com/myungjinlee/GLYCO). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Published by Oxford University Press 2021. This work is written by US Government employees and is in the public domain in the US.
Authors: H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne Journal: Nucleic Acids Res Date: 2000-01-01 Impact factor: 16.971
Authors: Tongqing Zhou; Nicole A Doria-Rose; Cheng Cheng; Guillaume B E Stewart-Jones; Gwo-Yu Chuang; Michael Chambers; Aliaksandr Druz; Hui Geng; Krisha McKee; Young Do Kwon; Sijy O'Dell; Mallika Sastry; Stephen D Schmidt; Kai Xu; Lei Chen; Rita E Chen; Mark K Louder; Marie Pancera; Timothy G Wanninger; Baoshan Zhang; Anqi Zheng; S Katie Farney; Kathryn E Foulds; Ivelin S Georgiev; M Gordon Joyce; Thomas Lemmin; Sandeep Narpala; Reda Rawi; Cinque Soto; John-Paul Todd; Chen-Hsiang Shen; Yaroslav Tsybovsky; Yongping Yang; Peng Zhao; Barton F Haynes; Leonidas Stamatatos; Michael Tiemeyer; Lance Wells; Diana G Scorpio; Lawrence Shapiro; Adrian B McDermott; John R Mascola; Peter D Kwong Journal: Cell Rep Date: 2017-04-25 Impact factor: 9.423
Authors: Guillaume B E Stewart-Jones; Cinque Soto; Thomas Lemmin; Gwo-Yu Chuang; Aliaksandr Druz; Rui Kong; Paul V Thomas; Kshitij Wagh; Tongqing Zhou; Anna-Janina Behrens; Tatsiana Bylund; Chang W Choi; Jack R Davison; Ivelin S Georgiev; M Gordon Joyce; Young Do Kwon; Marie Pancera; Justin Taft; Yongping Yang; Baoshan Zhang; Sachin S Shivatare; Vidya S Shivatare; Chang-Chun D Lee; Chung-Yi Wu; Carole A Bewley; Dennis R Burton; Wayne C Koff; Mark Connors; Max Crispin; Ulrich Baxa; Bette T Korber; Chi-Huey Wong; John R Mascola; Peter D Kwong Journal: Cell Date: 2016-04-21 Impact factor: 41.582
Authors: Myungjin Lee; Anita Changela; Jason Gorman; Reda Rawi; Tatsiana Bylund; Cara W Chao; Bob C Lin; Mark K Louder; Adam S Olia; Baoshan Zhang; Nicole A Doria-Rose; Susan Zolla-Pazner; Lawrence Shapiro; Gwo-Yu Chuang; Peter D Kwong Journal: Nat Commun Date: 2021-11-09 Impact factor: 14.919
Authors: Kshitij Wagh; Edward F Kreider; Yingying Li; Hannah J Barbian; Gerald H Learn; Elena Giorgi; Peter T Hraber; Timothy G Decker; Andrew G Smith; Marcos V Gondim; Lindsey Gillis; Jamie Wandzilak; Gwo-Yu Chuang; Reda Rawi; Fangping Cai; Pierre Pellegrino; Ian Williams; Julie Overbaugh; Feng Gao; Peter D Kwong; Barton F Haynes; George M Shaw; Persephone Borrow; Michael S Seaman; Beatrice H Hahn; Bette Korber Journal: Cell Rep Date: 2018-10-23 Impact factor: 9.423