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Accurate prediction by AlphaFold2 for ligand binding in a reductive dehalogenase and implications for PFAS (per-and polyfluoroalkyl substance) biodegradation
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Abstract
Despite the success of AlphaFold2 (AF2), it is unclear how AF2 models accommodate for ligand binding. Here, we start with a protein sequence from Acidimicrobiaceae TMED77 (T7RdhA) with potential for catalyzing the degradation of per- and polyfluoroalkyl substances (PFASs). AF2 models and experiments identified T7RdhA as a corrinoid iron-sulfur protein (CoFeSP) which uses a norpseudo-cobalamin (BVQ) cofactor and two Fe 4 S 4 iron-sulfur clusters for catalysis. Docking and molecular dynamics simulations suggest that T7RdhA uses perfluorooctanoic acetate (PFOA) as a substrate, supporting the reported defluorination activity of its homolog, A6RdhA. We showed that AF2 provides processual (dynamic) predictions for the binding pockets of ligands (cofactors and/or substrates). Because the pLDDT scores provided by AF2 reflect the protein native states in complex with ligands as the evolutionary constraints, the Evoformer network of AF2 predicts protein structures and residue flexibility in complex with the ligands, i.e., in their native states. Therefore, an apo-protein predicted by AF2 is actually a holo-protein awaiting ligands.
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“Moreover, results from docking and molecular dynamics simulations implied that T7RdhA could potentially use PFOA as a substrate (105).”
From Toward the development of a molecular toolkit for the microbial remediation of per-and polyfluoroalkyl substances (2024) · cites this paper as [105]
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“However, in subsequent sequence mining using the incomplete Acidimicrobium sp. strain A6 gene (referred to as A6RdhA), Guo et al. (105) found a full-length gene encoding a protein named T7RdhA from the Acidimicrobium strain TMED77 in a metagenomic assembly of marine microorganisms that shares 97.67% sequence identity with the partial A6RdhA protein.”
From Toward the development of a molecular toolkit for the microbial remediation of per-and polyfluoroalkyl substances (2024) · cites this paper as [105]
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Citations
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
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Improved prediction of protein-protein interactions using AlphaFold2
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Using AlphaFold to predict the impact of single mutations on protein stability and function
Pak, M. A., Markhieva, K. A., Novikova, M. S., Petrov, D. S., Vorobyev, I. S., Maksimova, E. S., Kondrashov, F. A., & Ivankov, D. N. (2023) · PLOS One · doi:10.1371/journal.pone.0282689 · Cited by 322 · cited 2×
“To answer this question, we performed MD simulations on five different systems: (1) T7RdhA complexed with BVQ, two Fe4S4 clusters (Fe4S4-A and Fe4S4-B) and the PFOA substrate; (2) apo-T7RdhA with no ligand; (3) T7RdhA complexed with BVQ; (4) T7RdhA complexed with two Fe4S4 clusters; and (5) T7RdhA complexed 3 Vol.:(01…”
MethodInfluentialAlphaFold2 Can Predict Single-Mutation Effects
McBride, J. M., Polev, K., Abdirasulov, A., Reinharz, V., Grzybowski, B. A., & Tlusty, T. (2023) · Physical Review Letters · doi:10.1103/physrevlett.131.218401 · Cited by 87
Predicting the pathogenicity of missense variants using features derived from AlphaFold2
Schmidt, A., Röner, S., Mai, K., Klinkhammer, H., Kircher, M., & Ludwig, K. U. (2023) · Bioinformatics · doi:10.1093/bioinformatics/btad280 · Cited by 79
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Hu, M., & Scott, C. (2024) · Applied and Environmental Microbiology · doi:10.1128/aem.00157-24 · Cited by 63
AlphaFold2 modeling and molecular dynamics simulations of an intrinsically disordered protein
Guo, H.-B., Huntington, B., Perminov, A., Smith, K., Hastings, N., Dennis, P., Kelley-Loughnane, N., & Berry, R. (2024) · PLOS ONE · doi:10.1371/journal.pone.0301866 · Cited by 13
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- Authors
- Guo, H.-B., Varaljay, V. A., Kedziora, G., Taylor, K., Farajollahi, S., Lombardo, N., Harper, E., Hung, C., Gross, M., Perminov, A., Dennis, P., Kelley-Loughnane, N., & Berry, R.
- Venue
- Scientific Reports
- Published
- 2023-03-11
- Volume
- 13
- Issue
- 1
- ISSN
- 2045-2322
- PMC
- PMC10008544
- Cited by
- 22
- References
- 10
- Language
- en
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- OUSD (R&E) ARAP Program
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