Allosteric Hotspots in the Main Protease of SARS-CoV-2

被引:11
作者
Stromich, Leonie [1 ]
Wu, Nan [1 ]
Barahona, Mauricio [2 ]
Yaliraki, Sophia N. [1 ]
机构
[1] Imperial Coll London, Dept Chem, London, England
[2] Imperial Coll London, Dept Math, London, England
基金
英国工程与自然科学研究理事会; 英国惠康基金;
关键词
graph theory; allosteric site prediction; atomistic graph representation; SARS-CoV-2; 3C-LIKE PROTEASE; SARS; DESIGN; SITES; PREDICTION; REVEALS; COMPLEX; IDENTIFICATION; PROTEINS; TARGET;
D O I
10.1016/j.jmb.2022.167748
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Inhibiting the main protease of SARS-CoV-2 is of great interest in tackling the COVID-19 pandemic caused by the virus. Most efforts have been centred on inhibiting the binding site of the enzyme. However, considering allosteric sites, distant from the active or orthosteric site, broadens the search space for drug candidates and confers the advantages of allosteric drug targeting. Here, we report the allosteric commu-nication pathways in the main protease dimer by using two novel fully atomistic graph-theoretical meth-ods: Bond-to-bond propensity, which has been previously successful in identifying allosteric sites in extensive benchmark data sets without a priori knowledge, and Markov transient analysis, which has pre-viously aided in finding novel drug targets in catalytic protein families. Using statistical bootstrapping, we score the highest ranking sites against random sites at similar distances, and we identify four statistically significant putative allosteric sites as good candidates for alternative drug targeting.(c) 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecom-mons.org/licenses/by/4.0/).
引用
收藏
页数:15
相关论文
共 90 条
  • [1] Novel dynamic residue network analysis approaches to study allosteric modulation: SARS-CoV-2 Mpro and its evolutionary mutations as a case study
    Amamuddy, Olivier Sheik
    Boateng, Rita Afriyie
    Barozi, Victor
    Nyamai, Dorothy Wavinya
    Bishop, Ozlem Tastan
    [J]. COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2021, 19 : 6431 - 6455
  • [2] Impact of Early Pandemic Stage Mutations on Molecular Dynamics of SARS-CoV-2 Mpro
    Amamuddy, Olivier Sheik
    Verkhivker, Gennady M.
    Bishop, Ozlem Tastan
    [J]. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2020, 60 (10) : 5080 - 5102
  • [3] Uncovering allosteric pathways in caspase-1 using Markov transient analysis and multiscale community detection
    Amor, B.
    Yaliraki, S. N.
    Woscholski, R.
    Barahona, M.
    [J]. MOLECULAR BIOSYSTEMS, 2014, 10 (08) : 2247 - 2258
  • [4] Prediction of allosteric sites and mediating interactions through bond-to-bond propensities
    Amor, B. R. C.
    Schaub, M. T.
    Yaliraki, S. N.
    Barahona, M.
    [J]. NATURE COMMUNICATIONS, 2016, 7
  • [5] Amor B.R.C., 2016, Exploring allostery in proteins with graph theory, DOI [10.25560/58214, DOI 10.25560/58214]
  • [6] Coronavirus main proteinase (3CLpro) structure:: Basis for design of anti-SARS drugs
    Anand, K
    Ziebuhr, J
    Wadhwani, P
    Mesters, JR
    Hilgenfeld, R
    [J]. SCIENCE, 2003, 300 (5626) : 1763 - 1767
  • [7] Structure of coronavirus main proteinase reveals combination of a chymotrypsin fold with an extra α-helical domain
    Anand, K
    Palm, GJ
    Mesters, JR
    Siddell, SG
    Ziebuhr, J
    Hilgenfeld, R
    [J]. EMBO JOURNAL, 2002, 21 (13) : 3213 - 3224
  • [8] Rapid Identification of Potential Inhibitors of SARS-CoV-2 Main Protease by Deep Docking of 1.3 Billion Compounds
    Anh-Tien Ton
    Gentile, Francesco
    Hsing, Michael
    Ban, Fuqiang
    Cherkasov, Artem
    [J]. MOLECULAR INFORMATICS, 2020, 39 (08)
  • [9] The Protein Data Bank
    Berman, HM
    Westbrook, J
    Feng, Z
    Gilliland, G
    Bhat, TN
    Weissig, H
    Shindyalov, IN
    Bourne, PE
    [J]. NUCLEIC ACIDS RESEARCH, 2000, 28 (01) : 235 - 242
  • [10] Targeting allosteric pockets of SARS-CoV-2 main protease Mpro
    Bhat, Zahoor Ahmad
    Chitara, Dheeraj
    Iqbal, Jawed
    Sanjeev, B. S.
    Madhumalar, Arumugam
    [J]. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2022, 40 (14) : 6603 - 6618