Deep-Learning Resources for Studying Glycan-Mediated Host-Microbe Interactions-Reference-Cited by-同舟云学术

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Deep-Learning Resources for Studying Glycan-Mediated Host-Microbe Interactions

Published:2021-01 Issue:1 Volume:29 Page:132-144.e3
ISSN:1931-3128
Container-title:Cell Host & Microbe
language:en
Short-container-title:Cell Host & Microbe

Author:

Bojar Daniel,Powers Rani K.,Camacho Diogo M.,Collins James J.

Funder

Hansjörg Wyss Institute for Biologically Inspired Engineering, Harvard University

Publisher

Elsevier BV

Subject

Virology,Microbiology,Parasitology

Reference65 articles.

1. Unified rational protein engineering with sequence-based deep representation learning;Alley;Nat. Methods,2019

2. Language modelling for biological sequences – curated datasets and baselines;Almagro Armenteros;bioRxiv,2020

3. The enterobacterial common antigen-like gene cluster of Haemophilus ducreyi contributes to virulence in humans;Banks;J. Infect. Dis.,2008

4. Immunoreactivity in mammals of two typical plant glyco-epitopes, core alpha(1,3)-fucose and core xylose;Bardor;Glycobiology,2003

5. Presentation Mode of Glycans Affect Recognition of Human Serum anti-Neu5Gc IgG Antibodies;Bashir;Bioconjug. Chem.,2019

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4. Dietary fiber monosaccharide content alters gut microbiome composition and fermentation;Applied and Environmental Microbiology;2024-08-21

5. Significance of Artificial Intelligence in the Study of Virus–Host Cell Interactions;Biomolecules;2024-07-26

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