TY - JOUR
AU - O'Donoghue, Seán I.
AU - Schafferhans, Andrea
AU - Sikta, Neblina
AU - Stolte, Christian
AU - Kaur, Sandeep
AU - Ho, Bosco K.
AU - Anderson, Stuart
AU - Procter, James B.
AU - Dallago, Christian
AU - Bordin, Nicola
AU - Adcock, Matt
AU - Rost, Burkhard
PY - 2021
DA - September
TI - SARS-CoV-2 structural coverage map reveals viral protein assembly, mimicry, and hijacking mechanisms
JO - Molecular Systems Biology
VL - 17
IS - 9
DO - https://doi.org/10.15252/msb.202010079
AB - We modeled 3D structures of all SARS-CoV-2 proteins, generating 2,060 models that span 69% of the viral proteome and provide details not available elsewhere. We found that ˜6% of the proteome mimicked human proteins, while ˜7% was implicated in hijacking mechanisms that reverse post-translational modifications, block host translation, and disable host defenses; a further ˜29% self-assembled into heteromeric states that provided insight into how the viral replication and translation complex forms. To make these 3D models more accessible, we devised a structural coverage map, a novel visualization method to show what is-and is not-known about the 3D structure of the viral proteome. We integrated the coverage map into an accompanying online resource (https://aquaria.ws/covid) that can be used to find and explore models corresponding to the 79 structural states identified in this work. The resulting Aquaria-COVID resource helps scientists use emerging structural data to understand the mechanisms underlying coronavirus infection and draws attention to the 31% of the viral proteome that remains structurally unknown or dark.
PB - Embopress
UR - https://discovery.dundee.ac.uk/en/publications/012a1fbf-f0f1-4030-8145-23a26726ebd9
KW - Coronavirus (COVID-19)
ER