Dynamics of water-mediated interaction effects on the stability and transmission of Omicron

被引:1
作者
Zaman, Naila [1 ]
Parvaiz, Nousheen [1 ]
Gul, Fouzia [1 ]
Yousaf, Rimsha [1 ]
Gul, Kainat [1 ]
Azam, Syed Sikander [1 ]
机构
[1] Quaid I Azam Univ, Natl Ctr Bioinformat NCB, Computat Biol Lab, Islamabad 45320, Pakistan
关键词
MOLECULAR-DYNAMICS; PROTEIN; KINETICS; VARIANT; AMBER; ACE2;
D O I
10.1038/s41598-023-48186-2
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
SARS-Cov-2 Omicron variant and its highly transmissible sublineages amidst news of emerging hybrid variants strengthen the evidence of its ability to rapidly spread and evolve giving rise to unprecedented future waves. Owing to the presence of isolated RBD, monomeric and trimeric Cryo-EM structures of spike protein in complex with ACE2 receptor, comparative analysis of Alpha, Beta, Gamma, Delta, and Omicron assist in a rational assessment of their probability to evolve as new or hybrid variants in future. This study proposes the role of hydration forces in mediating Omicron function and dynamics based on a stronger interplay between protein and solvent with each Covid wave. Mutations of multiple hydrophobic residues into hydrophilic residues underwent concerted interactions with water leading to variations in charge distribution in Delta and Omicron during molecular dynamics simulations. Moreover, comparative analysis of interacting moieties characterized a large number of mutations lying at RBD into constrained, homologous and low-affinity groups referred to as mutational drivers inferring that the probability of future mutations relies on their function. Furthermore, the computational findings reveal a significant difference in angular distances among variants of concern due 3 amino acid insertion (EPE) in Omicron variant that not only facilitates tight domain organization but also seems requisite for characterization of mutational processes. The outcome of this work signifies the possible relation between hydration forces, their impact on conformation and binding affinities, and viral fitness that will significantly aid in understanding dynamics of drug targets for Covid-19 countermeasures. The emerging scenario is that hydration forces and hydrophobic interactions are crucial variables to probe in mutational analysis to explore conformational landscape of macromolecules and reveal the molecular origins of protein behaviors.
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页数:16
相关论文
共 82 条
[51]   Charge Matters: Mutations in Omicron Variant Favor Binding to Cells [J].
Nie, Chuanxiong ;
Sahoo, Anil Kumar ;
Netz, Roland R. ;
Herrmann, Andreas ;
Ballauff, Matthias ;
Haag, Rainer .
CHEMBIOCHEM, 2022, 23 (06)
[52]   Tracking SARS-CoV-2 Omicron diverse spike gene mutations identifies multiple inter-variant recombination events [J].
Ou, Junxian ;
Lan, Wendong ;
Wu, Xiaowei ;
Zhao, Tie ;
Duan, Biyan ;
Yang, Peipei ;
Ren, Yi ;
Quan, Lulu ;
Zhao, Wei ;
Seto, Donald ;
Chodosh, James ;
Luo, Zhen ;
Wu, Jianguo ;
Zhang, Qiwei .
SIGNAL TRANSDUCTION AND TARGETED THERAPY, 2022, 7 (01)
[53]   Water in protein structure prediction [J].
Papoian, GA ;
Ulander, J ;
Eastwood, MP ;
Luthey-Schulten, Z ;
Wolynes, PG .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2004, 101 (10) :3352-3357
[54]   AN ANALYSIS OF THE ACCURACY OF LANGEVIN AND MOLECULAR-DYNAMICS ALGORITHMS [J].
PASTOR, RW ;
BROOKS, BR ;
SZABO, A .
MOLECULAR PHYSICS, 1988, 65 (06) :1409-1419
[55]   AMBER, A PACKAGE OF COMPUTER-PROGRAMS FOR APPLYING MOLECULAR MECHANICS, NORMAL-MODE ANALYSIS, MOLECULAR-DYNAMICS AND FREE-ENERGY CALCULATIONS TO SIMULATE THE STRUCTURAL AND ENERGETIC PROPERTIES OF MOLECULES [J].
PEARLMAN, DA ;
CASE, DA ;
CALDWELL, JW ;
ROSS, WS ;
CHEATHAM, TE ;
DEBOLT, S ;
FERGUSON, D ;
SEIBEL, G ;
KOLLMAN, P .
COMPUTER PHYSICS COMMUNICATIONS, 1995, 91 (1-3) :1-41
[56]  
Pulliam JRC, 2021, medRxiv, DOI [10.1101/2021.11.11.21266068, 10.1101/2021.11.11.21266068, DOI 10.1101/2021.11.11.21266068]
[57]   SARS-CoV-2 B.1.1.7 (alpha) and B.1.351 (beta) variants induce pathogenic patterns in K18-hACE2 transgenic mice distinct from early strains [J].
Radvak, Peter ;
Kwon, Hyung-Joon ;
Kosikova, Martina ;
Ortega-Rodriguez, Uriel ;
Xiang, Ruoxuan ;
Phue, Je-Nie ;
Shen, Rong-Fong ;
Rozzelle, James ;
Kapoor, Neeraj ;
Rabara, Taylor ;
Fairman, Jeff ;
Xie, Hang .
NATURE COMMUNICATIONS, 2021, 12 (01)
[58]   DynaMut2: Assessing changes in stability and flexibility upon single and multiple point missense mutations [J].
Rodrigues, Carlos H. M. ;
Pires, Douglas E. V. ;
Ascher, David B. .
PROTEIN SCIENCE, 2021, 30 (01) :60-69
[59]   DynaMut: predicting the impact of mutations on protein conformation, flexibility and stability [J].
Rodrigues, Carlos H. M. ;
Pires, Douglas E., V ;
Ascher, David B. .
NUCLEIC ACIDS RESEARCH, 2018, 46 (W1) :W350-W355
[60]   PTRAJ and CPPTRAJ: Software for Processing and Analysis of Molecular Dynamics Trajectory Data [J].
Roe, Daniel R. ;
Cheatham, Thomas E., III .
JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2013, 9 (07) :3084-3095