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Analogue discovery of safer alternatives to HCQ and CQ drugs for SAR-CoV-2 by computational design.
Sinha, Meetali; Gupta, Anshika; Gupta, Shristee; Singh, Prakrity; Pandit, Shraddha; Chauhan, Shweta Singh; Parthasarathi, Ramakrishnan.
  • Sinha M; Computational Toxicology Facility, CSIR- Indian Institute of Toxicology Research, Vishvigyan Bhavan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India.
  • Gupta A; Computational Toxicology Facility, CSIR- Indian Institute of Toxicology Research, Vishvigyan Bhavan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India.
  • Gupta S; Computational Toxicology Facility, CSIR- Indian Institute of Toxicology Research, Vishvigyan Bhavan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India.
  • Singh P; Computational Toxicology Facility, CSIR- Indian Institute of Toxicology Research, Vishvigyan Bhavan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India.
  • Pandit S; Computational Toxicology Facility, CSIR- Indian Institute of Toxicology Research, Vishvigyan Bhavan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India.
  • Chauhan SS; Computational Toxicology Facility, CSIR- Indian Institute of Toxicology Research, Vishvigyan Bhavan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India.
  • Parthasarathi R; Computational Toxicology Facility, CSIR- Indian Institute of Toxicology Research, Vishvigyan Bhavan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India. Electronic address: partha.ram@iitr.res.i
Comput Biol Med ; 130: 104222, 2021 03.
Article in English | MEDLINE | ID: covidwho-1039328
ABSTRACT
COVID-19 outbreak poses a severe health emergency to the global community. Due to availability of limited data, the selection of an effective treatment is a challenge. Hydroxychloroquine (HCQ), a chloroquine (CQ) derivative administered for malaria and autoimmune diseases, has been shown to be effective against both Severe Acute Respiratory Syndrome (SARS-CoV-1) and SARS-CoV-2. Apart from the known adverse effects of these drugs, recently the use of CQ and HCQ as a potential treatment for COVID-19 is under flux globally. In this study, we focused on identifying a more potent analogue of HCQ and CQ against the spike protein of SAR-CoV-2 that can act as an effective antiviral agent for COVID-19 treatment. Systematic pharmacokinetics, drug-likeness, basicity predictions, virtual screening and molecular dynamics analysis (200 ns) were carried out to predict the inhibition potential of the analogous compounds on the spike protein. This work identifies the six potential analogues, out of which two compounds, namely 1-[1-(6-Chloroquinolin-4-yl) piperidin-4-yl]piperidin-3-ol and (1R,2R)-2-N-(7-Chloroquinolin-4-yl)cyclohexane-1,2-diamine interact with the active site of the spike protein similar to HCQ and CQ respectively with augmented safety profile.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Drug Discovery / Molecular Dynamics Simulation / Molecular Docking Simulation / Spike Glycoprotein, Coronavirus / SARS-CoV-2 / COVID-19 Drug Treatment / Hydroxychloroquine Type of study: Prognostic study / Systematic review/Meta Analysis Limits: Humans Language: English Journal: Comput Biol Med Year: 2021 Document Type: Article Affiliation country: J.compbiomed.2021.104222

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Drug Discovery / Molecular Dynamics Simulation / Molecular Docking Simulation / Spike Glycoprotein, Coronavirus / SARS-CoV-2 / COVID-19 Drug Treatment / Hydroxychloroquine Type of study: Prognostic study / Systematic review/Meta Analysis Limits: Humans Language: English Journal: Comput Biol Med Year: 2021 Document Type: Article Affiliation country: J.compbiomed.2021.104222