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In silico data mining of large-scale databases for the virtual screening of human interleukin-2 inhibitors Cover

In silico data mining of large-scale databases for the virtual screening of human interleukin-2 inhibitors

Acta Pharmaceutica
Volume 71 (2021): Issue 1 (March 2021)
By: Sobia Ahsan Halim,  Zaheer-Ul-Haq,  Ajmal Khan,  Ahmed Al-Rawahi and  Ahmed Al-Harrasi  
Open Access
|Jul 2020

Authors

Sobia Ahsan Halim

sobia_halim@unizwa.edu.om

Natural and Medical Science Research Center, University of Nizwa Birkat-ul-Mouz

Zaheer-Ul-Haq

Dr. Panjwani Center for Molecular Medicine and Drug Research International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan

Ajmal Khan

Natural and Medical Science Research Center, University of Nizwa Birkat-ul-Mouz

Ahmed Al-Rawahi

Natural and Medical Science Research Center, University of Nizwa Birkat-ul-Mouz

Ahmed Al-Harrasi

aharrasi@unizwa.edu.om

Natural and Medical Science Research Center, University of Nizwa Birkat-ul-Mouz
DOI: https://doi.org/10.2478/acph-2021-0002 | Journal eISSN: 1846-9558 | Journal ISSN: 1330-0075
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Language: English
Page range: 33 - 56
Accepted on: Mar 8, 2020
Published on: Jul 20, 2020
Published by: Croatian Pharmaceutical Society
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
IL-2,
virtual screening,
FRED,
MOE,
GOLD,
Surflex-Dock,
ROC-curves
Related subjects:
Pharmacy,
Pharmacy, other

© 2020 Sobia Ahsan Halim, Zaheer-Ul-Haq, Ajmal Khan, Ahmed Al-Rawahi, Ahmed Al-Harrasi, published by Croatian Pharmaceutical Society
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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