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Archontis, G.

Publications and source records attributed to Archontis, G..

2 recordsLinked to original sources

Computational optimization of the SARS-CoV-2 receptor-binding-motif affinity for human ACE2

The coronavirus SARS-CoV-2, that is responsible for the COVID-19 pandemic, and the closely related SARS-CoV coronavirus enter cells by binding at the human angiotensin converting enzyme 2 (hACE2). The stronger hACE2 affinity of SARS-CoV-2 has been connected with its higher infectivity. In this work, we study hACE2 complexes with the receptor binding domains (RBDs) of the human SARS-CoV-2 and human SARS-CoV viruses, using all-atom molecular dynamics (MD) simulations and Computational Protein Design (CPD) with a physics-based energy function. The MD simulations identify charge-modifying substitutions between the CoV-2 and CoV RBDs, which either increase or decrease the hACE2 affinity of the SARS-CoV-2 RBD. The combined effect of these mutations is small, and the relative affinity is mainly determined by substitutions at residues in contact with hACE2. Many of these findings are in line and interpret recent experiments. Our CPD calculations redesign positions 455, 493, 494 and 501 of the SARS-CoV-2 RBM, which contact hACE2 in the complex and are important for ACE2 recognition. Sampling is enhanced by an adaptive importance sampling Monte Carlo method. Sequences with increased affinity replace CoV-2 glutamine by a negative residue at position 493, and serine by nonpolar, aromatic or a threonine at position 494. Substitutions at positions positions 455 and 501 have a smaller effect on affinity. Substitutions suggested by our design are seen in viral sequences encountered in other species, including bat and pangolin. Our results might be used to identify potential virus strains with higher human infectivity and assist in the design of peptide-based or peptidomimetic compounds with the potential to inhibit SARS-CoV-2 binding at hACE2. SIGNIFICANCEThe coronavirus SARS-CoV-2 is responsible for the current COVID-19 pandemic. SARS-CoV-2 and the earlier, closely related SARS-CoV virus bind at the human angiotensin converting enzyme 2 (hACE2) receptor at the cell surface. The higher human infectivity of SARS-CoV-2 may be linked to its stronger affinity for hACE2. Here, we study by computational methods complexes of hACE2 with the receptor binding domains (RBDs) of viruses SARS-CoV-2 and SARS-CoV. We identify residues affecting the affinities of the two domains for hACE2. We also propose mutations at key SARS-CoV-2 positions, which might enhance hACE2 affinity. Such mutations may appear in viral strains with increased human infectivity and might assist the design of peptide-based compounds that inhibit infection of human cells by SARS-CoV-2.

biophysics

Proteus software for physics-based protein design

We describe methods and software for physics-based protein design. The folded state energy combines molecular mechanics with Generalized Born solvent. Sequence and conformation space are sampled with Replica Exchange Monte Carlo, assuming one or a few fixed protein backbone structures and discrete side chain rotamers. Whole protein design and enzyme design are presented as illustrations. Full redesign of three PDZ domains was done using a simple, empirical, unfolded state model. Designed sequences were very similar to natural ones. Enzyme redesign exploited a powerful, adaptive, importance sampling approach that allows the design to directly target substrate binding, reaction rate, catalytic efficiency, or the specificity of these properties. Redesign of tyrosyl-tRNA synthetase stereospecificity is reported as an example.Competing Interest StatementThe authors have declared no competing interest.View Full Text

biophysics