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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Main Authors: Torres, Jaume, Pervushin, Konstantin, Surya, Wahyu
Other Authors: School of Biological Sciences
Format: Article
Language:English
Published: 2025
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Online Access:https://hdl.handle.net/10356/182072
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Institution: Nanyang Technological University
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spelling 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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Medicine, Health and Life Sciences
Coronavirus
Envelope protein
spellingShingle 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
description 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.
author2 School of Biological Sciences
author_facet School of Biological Sciences
Torres, Jaume
Pervushin, Konstantin
Surya, Wahyu
format Article
author Torres, Jaume
Pervushin, Konstantin
Surya, Wahyu
author_sort 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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