Your browser doesn't support javascript.
DFT calculations, molecular docking, in vitro antimicrobial and antidiabetic studies of green synthesized Schiff bases: as Covid-19 inhibitor.
G, Saranya; K, Devendraprasad; P, Shanmugapriya; N, Bhuvaneshwari.
  • G S; Department of Chemistry, Chikkaiah Naicker College, Erode, India.
  • K D; Eurofins Advinus Biopharma, Bengaluru, India.
  • P S; Department of Chemistry, KSR College of Engineering, Thiruchengode, India.
  • N B; Department of Chemistry, Chikkaiah Naicker College, Erode, India.
J Biomol Struct Dyn ; : 1-18, 2023 Feb 08.
Article in English | MEDLINE | ID: covidwho-2235252
ABSTRACT
In this investigation, we synthesized Schiff bases 2-(2-methoxyphenoxy)-N-(4-methylbenzylidene)ethanamine, N-(4-methoxybenzylidene)-2-(2-methoxyphenoxy)ethanamine and 2-(2-methoxyphenoxy)-N-(4-nitrobenzylidene)ethanamine from 2-(2-methoxyphenoxy)ethanamine and various aromatic aldehydes by the environmentally friendly sonication method. The B3LYP method with a 6-311++G (d, p) basis set was used in the DFT calculation to obtain the optimized structure of the Schiff base MPEA-NIT. The compounds were tested in vitro for inhibition of bacterial growth (disc well method) and inhibition of α-amylase (starch-iodine method). The compounds tested showed inhibitory activities. In addition, they were subjected to PASS analysis, drug likeness, and bioactivity score predictions using online software. To confirm the experimental findings, molecular docking analyses of synthesized compounds on α-amylase (PDB ID 1SMD), tRNA threonylcarbamoyladenosine (PDB ID 5MVR), glycosyl transferase (PDB ID 6D9T), and peptididoglycan D,D-transpeptidase (PDB ID 6HZQ) were performed. The emergence of a new coronavirus epidemic necessitates the development of antiviral medications (SARS-CoV-2). Docking active site interactions were investigated to predict compounds' activity against COVID-19 by binding with the SARS-CoV-2 (PDB ID 6Y84).Communicated by Ramaswamy H. Sarma.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: J Biomol Struct Dyn Year: 2023 Document Type: Article Affiliation country: 07391102.2023.2175039

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: J Biomol Struct Dyn Year: 2023 Document Type: Article Affiliation country: 07391102.2023.2175039