Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Kurumsal BaşvuruSign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Kurumsal Başvuru

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Biochemical and Computational Approach of Selected Phytocompounds from Tinospora crispa in the Management of COVID-19

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
en
2020

Biochemical and Computational Approach of Selected Phytocompounds from Tinospora crispa in the Management of COVID-19

0 Datasets

0 Files

en
2020
Vol 25 (17)
Vol. 25
DOI: 10.3390/molecules25173936

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Jesus Simal Gandara
Jesus Simal Gandara

Universidade de Vigo

Verified
Ahmed Rakib
Arkajyoti Paul
Md. Nazim Uddin Chy
+11 more

Abstract

A pandemic caused by the novel coronavirus (SARS-CoV-2 or COVID-19) began in December 2019 in Wuhan, China, and the number of newly reported cases continues to increase. More than 19.7 million cases have been reported globally and about 728,000 have died as of this writing (10 August 2020). Recently, it has been confirmed that the SARS-CoV-2 main protease (Mpro) enzyme is responsible not only for viral reproduction but also impedes host immune responses. The Mpro provides a highly favorable pharmacological target for the discovery and design of inhibitors. Currently, no specific therapies are available, and investigations into the treatment of COVID-19 are lacking. Therefore, herein, we analyzed the bioactive phytocompounds isolated by gas chromatography–mass spectroscopy (GC-MS) from Tinospora crispa as potential COVID-19 Mpro inhibitors, using molecular docking study. Our analyses unveiled that the top nine hits might serve as potential anti-SARS-CoV-2 lead molecules, with three of them exerting biological activity and warranting further optimization and drug development to combat COVID-19.

How to cite this publication

Ahmed Rakib, Arkajyoti Paul, Md. Nazim Uddin Chy, Saad Ahmed Sami, Sumit Baral, Mohuya Majumder, Abu Montakim Tareq, Mohammad Nurul Amin, Asif Shahriar, Md. Zia Uddin, Mycal Dutta, Trina Ekawati Tallei, Talha Bin Emran, Jesus Simal Gandara (2020). Biochemical and Computational Approach of Selected Phytocompounds from Tinospora crispa in the Management of COVID-19. , 25(17), DOI: https://doi.org/10.3390/molecules25173936.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2020

Authors

14

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.3390/molecules25173936

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access