Mpropred: A machine learning (ML) driven Web-App for bioactivity prediction of SARS-CoV-2 main protease (Mpro) antagonists.
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic emerged in 2019 and still requiring treatments with fast clinical translatability. Frequent occurrence of mutations in spike glycoprotein of SARS-CoV-2 led the consideration of an alternative therapeutic target to combat the o...
Main Authors: | Nadim Ferdous, Mahjerin Nasrin Reza, Mohammad Uzzal Hossain, Shahin Mahmud, Suhami Napis, Kamal Chowdhury, A K M Mohiuddin |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2023-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0287179 |
Similar Items
-
Gene silencing of Helicobacter pylori through newly designed siRNA convenes the treatment of gastric cancer
by: Mahjerin Nasrin Reza, et al.
Published: (2023-12-01) -
Molecular characterization and functional annotation of a hypothetical protein (SCO0618) of A3(2)
by: Nadim Ferdous, et al.
Published: (2020-09-01) -
Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability
by: Mahjerin Nasrin Reza, et al.
Published: (2021-09-01) -
Exploring Possible Drug-Resistant Variants of SARS-CoV‑2 Main Protease (Mpro) with Noncovalent Preclinical Candidate, Mpro61
by: Jessica R. Kenneson, et al.
Published: (2025-01-01) -
Progress in Research on Inhibitors Targeting SARS-CoV‑2 Main Protease (Mpro)
by: Yue Yang, et al.
Published: (2024-08-01)