Mapping the ACE2 binding site on the SARS-CoV-2 spike protein S1: molecular recognition pattern

被引:1
作者
Kuznetsov, Aleksei [1 ]
Jarv, Jaak [1 ]
机构
[1] Univ Tartu, Inst Chem, Ravila 14A, EE-50411 Tartu, Estonia
关键词
SARS-CoV-2 virus spike protein S1; peptide docking; peptide sequence scan with alanine; serine; phenylalanine; binding site specificity; correlation analysis; COVID-19; therapeutics; EFFICIENT; DOCKING;
D O I
10.3176/proc.2020.4.09
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Coronavirus SARS-CoV-2 enters the host cell via binding with the angiotensin-converting enzyme 2 (ACE2), and here we used computational modelling to study the molecular recognition pattern of this interaction. The fragment of the N-terminal part of the enzyme containing amino acids 19-45 was used as the lead peptide in this study. The structure of this peptide was systematically modified by successive replacement of its amino acids with alanine, serine, glycine, and phenylalanine. Then docking energies were calculated for all these mutant peptides. These docking energies were correlated with physical descriptors, proposed for the modelling of peptide-protein interactions, characterizing hydrophilicity and volume-related properties of amino acid side chains. From these correlations the corresponding specificity factors were obtained for all amino acid positions, and thus the full description of the molecular recognition pattern of the ACE2 alpha 1 domain by the virus S1 protein binding site was obtained.
引用
收藏
页码:355 / 360
页数:6
相关论文
共 21 条
  • [1] [Anonymous], PYMOL MOL GRAPH SYST
  • [2] Identification of a Potential Peptide Inhibitor of SARS-CoV-2 Targeting its Entry into the Host Cells
    Baig, Mirza S.
    Alagumuthu, Manikandan
    Rajpoot, Sajjan
    Saqib, Uzma
    [J]. DRUGS IN R&D, 2020, 20 (03) : 161 - 169
  • [3] Barh Debmalya, 2020, F1000Res, V9, P576, DOI 10.12688/f1000research.24074.1
  • [4] Improved Descriptors for the Quantitative Structure-Activity Relationship Modeling of Peptides and Proteins
    Barley, Mark H.
    Turner, Nicholas J.
    Goodacre, Royston
    [J]. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2018, 58 (02) : 234 - 243
  • [5] Computational Design of ACE2-Based Peptide Inhibitors of SARS-CoV-2
    Han, Yanxiao
    Kral, Petr
    [J]. ACS NANO, 2020, 14 (04) : 5143 - 5147
  • [6] Hansch C, 1978, CORRELATION ANAL CHE, P397
  • [7] GROMACS 4: Algorithms for highly efficient, load-balanced, and scalable molecular simulation
    Hess, Berk
    Kutzner, Carsten
    van der Spoel, David
    Lindahl, Erik
    [J]. JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2008, 4 (03) : 435 - 447
  • [8] VMD: Visual molecular dynamics
    Humphrey, W
    Dalke, A
    Schulten, K
    [J]. JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 1996, 14 (01) : 33 - 38
  • [9] LINEAR FREE-ENERGY RELATIONSHIPS IN CAMP-DEPENDENT PROTEIN-KINASE REACTIONS WITH SYNTHETIC SUBSTRATES
    JARV, J
    RAGNARSSON, U
    [J]. BIOORGANIC CHEMISTRY, 1991, 19 (01) : 77 - 87
  • [10] Kortemme T., 2004, Sci. STKE, V2004