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Elucidating the role of N440K mutation in SARS-CoV-2 spike - ACE-2 binding affinity and COVID-19 severity by virtual screening, molecular docking and dynamics approach.
Kullappan, Malathi; Mary, Usha; Ambrose, Jenifer M; Veeraraghavan, Vishnu Priya; Surapaneni, Krishna Mohan.
  • Kullappan M; Department of Research, Panimalar Medical College Hospital & Research Institute, Varadharajapuram, Poonamallee, Chennai, India.
  • Mary U; Department of Chemistry, Panimalar Engineering College, Varadharajapuram, Poonamallee, Chennai, India.
  • Ambrose JM; Department of Research, Panimalar Medical College Hospital & Research Institute, Varadharajapuram, Poonamallee, Chennai, India.
  • Veeraraghavan VP; Department of Biochemistry, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Velappanchavadi, Chennai, Tamil Nadu, India.
  • Surapaneni KM; Department of Research, Panimalar Medical College Hospital & Research Institute, Varadharajapuram, Poonamallee, Chennai, India.
J Biomol Struct Dyn ; : 1-18, 2021 Dec 14.
Article in English | MEDLINE | ID: covidwho-2232137
ABSTRACT
COVID-19 has become a public health concern around the world. The frequency of N440K variant was higher during the second wave in South India. The mutation was observed in the Receptor Binding Domain region (RBD) of the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) spike (S) protein. The binding affinity of SARS-CoV-2-Angiotensin-Converting Enzyme-2 (ACE-2) plays a major role in the transmission and severity of the disease. To understand the binding affinity of the wild and mutant SARS-CoV-2 S with ACE2, molecular modeling studies were carried out. We discovered that the wild SARS-CoV-2 S RBD-ACE-2 complex has a high binding affinity and stability than that of the mutant. The N440K strain escapes from antibody neutralization, which might increase reinfection and decrease vaccine efficiency. To find a potential inhibitor against mutant N440K SARS-CoV-2, a virtual screening process was carried out and found ZINC169293961, ZINC409421825 and ZINC22060839 as the best binding energy compounds. Communicated by Ramaswamy H. Sarma.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Vaccines / Variants Language: English Journal: J Biomol Struct Dyn Year: 2021 Document Type: Article Affiliation country: 07391102.2021.2014973

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Vaccines / Variants Language: English Journal: J Biomol Struct Dyn Year: 2021 Document Type: Article Affiliation country: 07391102.2021.2014973