Prediction of conformational states in a coronavirus channel using Alphafold-2 and DeepMSA2: strengths and limitations
The envelope (E) protein is present in all coronavirus genera. This protein can form pentameric oligomers with ion channel activity which have been proposed as a possible therapeutic target. However, high resolution structures of E channels are limited to those of the severe acute respiratory syndro...
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sg-ntu-dr.10356-1820722025-01-13T15:32:38Z Prediction of conformational states in a coronavirus channel using Alphafold-2 and DeepMSA2: strengths and limitations Torres, Jaume Pervushin, Konstantin Surya, Wahyu School of Biological Sciences Medicine, Health and Life Sciences Coronavirus Envelope protein The envelope (E) protein is present in all coronavirus genera. This protein can form pentameric oligomers with ion channel activity which have been proposed as a possible therapeutic target. However, high resolution structures of E channels are limited to those of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), responsible for the recent COVID-19 pandemic. In the present work, we used Alphafold-2 (AF2), in ColabFold without templates, to predict the transmembrane domain (TMD) structure of six E-channels representative of genera alpha-, beta- and gamma-coronaviruses in the Coronaviridae family. High-confidence models were produced in all cases when combining multiple sequence alignments (MSAs) obtained from DeepMSA2. Overall, AF2 predicted at least two possible orientations of the α-helices in E-TMD channels: one where a conserved polar residue (Asn-15 in the SARS sequence) is oriented towards the center of the channel, 'polar-in', and one where this residue is in an interhelical orientation 'polar-inter'. For the SARS models, the comparison with the two experimental models 'closed' (PDB: 7K3G) and 'open' (PDB: 8SUZ) is described, and suggests a ∼60˚ α-helix rotation mechanism involving either the full TMD or only its N-terminal half, to allow the passage of ions. While the results obtained are not identical to the two high resolution models available, they suggest various conformational states with striking similarities to those models. We believe these results can be further optimized by means of MSA subsampling, and guide future high resolution structural studies in these and other viral channels. Ministry of Education (MOE) J.T. and K.P. acknowledge the generous funding of the Ministry of Education of Singapore MOE Tier 2 grant #021410-00001. 2025-01-07T01:59:49Z 2025-01-07T01:59:49Z 2024 Journal Article Torres, J., Pervushin, K. & Surya, W. (2024). Prediction of conformational states in a coronavirus channel using Alphafold-2 and DeepMSA2: strengths and limitations. Computational and Structural Biotechnology Journal, 23, 3730-3740. https://dx.doi.org/10.1016/j.csbj.2024.10.021 2001-0370 https://hdl.handle.net/10356/182072 10.1016/j.csbj.2024.10.021 39525089 2-s2.0-85207256979 23 3730 3740 en MOE Tier 2 grant #021410-00001 Computational and structural biotechnology journal © 2024 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). application/pdf |
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Medicine, Health and Life Sciences Coronavirus Envelope protein Torres, Jaume Pervushin, Konstantin Surya, Wahyu Prediction of conformational states in a coronavirus channel using Alphafold-2 and DeepMSA2: strengths and limitations |
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The envelope (E) protein is present in all coronavirus genera. This protein can form pentameric oligomers with ion channel activity which have been proposed as a possible therapeutic target. However, high resolution structures of E channels are limited to those of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), responsible for the recent COVID-19 pandemic. In the present work, we used Alphafold-2 (AF2), in ColabFold without templates, to predict the transmembrane domain (TMD) structure of six E-channels representative of genera alpha-, beta- and gamma-coronaviruses in the Coronaviridae family. High-confidence models were produced in all cases when combining multiple sequence alignments (MSAs) obtained from DeepMSA2. Overall, AF2 predicted at least two possible orientations of the α-helices in E-TMD channels: one where a conserved polar residue (Asn-15 in the SARS sequence) is oriented towards the center of the channel, 'polar-in', and one where this residue is in an interhelical orientation 'polar-inter'. For the SARS models, the comparison with the two experimental models 'closed' (PDB: 7K3G) and 'open' (PDB: 8SUZ) is described, and suggests a ∼60˚ α-helix rotation mechanism involving either the full TMD or only its N-terminal half, to allow the passage of ions. While the results obtained are not identical to the two high resolution models available, they suggest various conformational states with striking similarities to those models. We believe these results can be further optimized by means of MSA subsampling, and guide future high resolution structural studies in these and other viral channels. |
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School of Biological Sciences |
author_facet |
School of Biological Sciences Torres, Jaume Pervushin, Konstantin Surya, Wahyu |
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Article |
author |
Torres, Jaume Pervushin, Konstantin Surya, Wahyu |
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Torres, Jaume |
title |
Prediction of conformational states in a coronavirus channel using Alphafold-2 and DeepMSA2: strengths and limitations |
title_short |
Prediction of conformational states in a coronavirus channel using Alphafold-2 and DeepMSA2: strengths and limitations |
title_full |
Prediction of conformational states in a coronavirus channel using Alphafold-2 and DeepMSA2: strengths and limitations |
title_fullStr |
Prediction of conformational states in a coronavirus channel using Alphafold-2 and DeepMSA2: strengths and limitations |
title_full_unstemmed |
Prediction of conformational states in a coronavirus channel using Alphafold-2 and DeepMSA2: strengths and limitations |
title_sort |
prediction of conformational states in a coronavirus channel using alphafold-2 and deepmsa2: strengths and limitations |
publishDate |
2025 |
url |
https://hdl.handle.net/10356/182072 |
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1821279338266361856 |