Your browser doesn't support javascript.
In Silico Mutagenesis-Based Remodelling of SARS-CoV-1 Peptide (ATLQAIAS) to Inhibit SARS-CoV-2: Structural-Dynamics and Free Energy Calculations.
Khan, Abbas; Umbreen, Shaheena; Hameed, Asma; Fatima, Rida; Zahoor, Ujala; Babar, Zainib; Waseem, Muhammad; Hussain, Zahid; Rizwan, Muhammad; Zaman, Nasib; Ali, Shahid; Suleman, Muhammad; Shah, Abdullah; Ali, Liaqat; Ali, Syed Shujait; Wei, Dong-Qing.
  • Khan A; Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.
  • Umbreen S; Department of Botany, University of Okara, Okara, Punjab, Pakistan.
  • Hameed A; Department of Botany, University of Azad Jammu & Kashmir, Muzaffarabad, Azad Jammu & Kashmir, Pakistan.
  • Fatima R; Department of Chemistry, Bahauddin Zakariya University, Multan, Pakistan.
  • Zahoor U; Department of Botany, Women University, Bagh, Azad Jammu & Kashmir, Pakistan.
  • Babar Z; Center for Viticulture and Enology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • Waseem M; Faculty of Rehabilitation and Allied Health Science, Riphah International University, Islamabad, Pakistan.
  • Hussain Z; Center for Biotechnology and Microbiology, University of Swat, Swat, Khyber Pakhtunkhwa, Pakistan.
  • Rizwan M; Center for Biotechnology and Microbiology, University of Swat, Swat, Khyber Pakhtunkhwa, Pakistan.
  • Zaman N; Center for Biotechnology and Microbiology, University of Swat, Swat, Khyber Pakhtunkhwa, Pakistan.
  • Ali S; Center for Biotechnology and Microbiology, University of Swat, Swat, Khyber Pakhtunkhwa, Pakistan.
  • Suleman M; Center for Biotechnology and Microbiology, University of Swat, Swat, Khyber Pakhtunkhwa, Pakistan.
  • Shah A; Department of Biotechnology, Shaheed Benazir Bhutto University, Sheringal, Dir, Khyber Pakhtunkhwa, Pakistan.
  • Ali L; Department of Biological Sciences, National University of Medical Sciences (NUMS), Rawalpindi, Pakistan.
  • Ali SS; Center for Biotechnology and Microbiology, University of Swat, Swat, Khyber Pakhtunkhwa, Pakistan.
  • Wei DQ; Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China. dqwei@sjtu.edu.cn.
Interdiscip Sci ; 13(3): 521-534, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1330422
ABSTRACT
The prolific spread of COVID-19 caused by a novel coronavirus (SARS-CoV-2) from its epicenter in Wuhan, China, to every nook and cranny of the world after December 2019, jeopardize the prevailing health system in the world and has raised serious concerns about human safety. Multi-directional efforts are made to design small molecule inhibitors, and vaccines and many other therapeutic options are practiced, but their final therapeutic potential is still to be tested. Using the old drug or vaccine or peptides could aid this process to avoid such long experimental procedures. Hence, here, we have repurposed a small peptide (ATLQAIAS) from the previous study, which reported the inhibitory effects of this peptide. We used in silico mutagenesis approach to design more peptides from the native wild peptide, which revealed that substitutions (T2W, T2Y, L3R, and A5W) could increase the binding affinity of the peptide towards the 3CLpro. Furthermore, using MD simulation and free energy calculation confirmed its dynamics stability and stronger binding affinities. Per-residue energy decomposition analysis revealed that the specified substitution significantly increased the binding affinity at the residue level. Our wide-ranging analyses of binding affinities disclosed that our designed peptide owns the potential to hinder the SARS-CoV-2 and will reduce the progression of SARS-CoV-2-borne pneumonia. Our research strongly suggests the experimental and clinical validation of these peptides to curtail the recent corona outbreak.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Peptides / Computer Simulation / Mutagenesis / Severe acute respiratory syndrome-related coronavirus / Molecular Dynamics Simulation / Coronavirus 3C Proteases / SARS-CoV-2 Type of study: Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: Interdiscip Sci Journal subject: Biology Year: 2021 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Peptides / Computer Simulation / Mutagenesis / Severe acute respiratory syndrome-related coronavirus / Molecular Dynamics Simulation / Coronavirus 3C Proteases / SARS-CoV-2 Type of study: Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: Interdiscip Sci Journal subject: Biology Year: 2021 Document Type: Article