The fidelity control of nucleotide selectivity in SARS-CoV-2 RdRp through amino acid mutations <i>via</i> molecular dynamics simulations

The RNA-dependent RNA polymerase (RdRp) of SARS-CoV-2 (CoV2-RdRp) is a promising antiviral drug target for nucleotide analogue drugs such as the remdesivir nucleotide analogue (RTP). In this study, based on the most recently identified new substrate-bound insertion state of CoV-2-RdRp with ATP or RTP, we used all-atom molecular dynamics simulations to investigate the nucleotide selectivity or fidelity control of CoV2-RdRp upon the effects of multiple-point amino acid mutations, namely, K551A/R553A/R555A and T687A/N691A/S759A. We found that RTP exhibited greater binding stability than the natural substrate ATP in both the pre-insertion and insertion states for both the wild-type and mutated CoV2-RdRp complexes. In addition, multiple-point amino acid mutation K551A/R553A/R555A mainly effected the stability of CoV2-RdRp in the pre-insertion state for ATP and RTP and had a greater influence on the stability of ATP than RTP. In addition, the multiple-point amino acid mutations T687A/N691A/S759A mainly effected the stability of CoV2-RdRp-RTP in both the pre-insertion state and insertion state through the interactions between RTP and residues T687/N691/S759. The binding interaction between RTP and residues S759/T687/N691 revealed that the binding of the 1'-cyano group of the RTP ribose within the pocket formed by key residues T687, N691, and S759 was a critical factor in the RTP insertion process.

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Publication Details

Journal
Physical Chemistry Chemical Physics
Published
2025-01-01
DOI
https://doi.org/10.1039/d5cp02192h
Citations
1
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
1.40
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article

The fidelity control of nucleotide selectivity in SARS-CoV-2 RdRp through amino acid mutations via molecular dynamics simulations

Jin Yu, Liqiang Dai, Zixuan Lu, Chunhong Long et al.
1 citations
Physical Chemistry Chemical Physics
SARS-CoV-2 and COVID-19 Research
1.40
article

The fidelity control of nucleotide selectivity in SARS-CoV-2 RdRp through amino acid mutations via molecular dynamics simulations

Jin Yu, Liqiang Dai, Zixuan Lu, Chunhong Long, Hong Hu, Hongqiong Liang
article en
1 citations

Abstract

The RNA-dependent RNA polymerase (RdRp) of SARS-CoV-2 (CoV2-RdRp) is a promising antiviral drug target for nucleotide analogue drugs such as the remdesivir nucleotide analogue (RTP). In this study, based on the most recently identified new substrate-bound insertion state of CoV-2-RdRp with ATP or RTP, we used all-atom molecular dynamics simulations to investigate the nucleotide selectivity or fidelity control of CoV2-RdRp upon the effects of multiple-point amino acid mutations, namely, K551A/R553A/R555A and T687A/N691A/S759A. We found that RTP exhibited greater binding stability than the natural substrate ATP in both the pre-insertion and insertion states for both the wild-type and mutated CoV2-RdRp complexes. In addition, multiple-point amino acid mutation K551A/R553A/R555A mainly effected the stability of CoV2-RdRp in the pre-insertion state for ATP and RTP and had a greater influence on the stability of ATP than RTP. In addition, the multiple-point amino acid mutations T687A/N691A/S759A mainly effected the stability of CoV2-RdRp-RTP in both the pre-insertion state and insertion state through the interactions between RTP and residues T687/N691/S759. The binding interaction between RTP and residues S759/T687/N691 revealed that the binding of the 1'-cyano group of the RTP ribose within the pocket formed by key residues T687, N691, and S759 was a critical factor in the RTP insertion process.

Physical Chemistry Chemical PhysicsVol. 27(38)
Chongqing University of Posts and Telecommunications (CN), University of California, Irvine (US), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 17%
SARS-CoV-2 and COVID-19 Research
1.40
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The fidelity control of nucleotide selectivity in SARS-CoV-2 RdRp through amino acid mutations <i>via</i> molecular dynamics simulations — Jin Yu, Liqiang Dai, et al. · Physical Chemistry Chemical Physics (2025) | TGRS Research Map | TGRS