In Silico Molecular Docking and ADMET Analysis of Quinoline Compounds as Anti-SARS-CoV-2 Agents

Authors

Muhammad Zeeshan (ORCID: https://orcid.org/0000-0001-6942-1100)
Sidra Batool (ORCID: https://orcid.org/0000-0001-6087-0452)
Ayesha Afzal (ORCID: https://orcid.org/0000-0003-4069-0512)

Institutions

Zhengzhou University (CN)
Kauno kolegija Higher Education Institution (LT)

Publication Details

Journal: Medinformatics
Published: 2025-09-24
DOI: https://doi.org/10.47852/bonviewmedin52025704
Primary Topic: Computational Drug Discovery Methods
Type: article
Field-Weighted Citation Impact: 0.00

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article

In Silico Molecular Docking and ADMET Analysis of Quinoline Compounds as Anti-SARS-CoV-2 Agents

Muhammad Zeeshan, Sidra Batool, Ayesha Afzal

Sep 24, 2025

Medinformatics

Computational Drug Discovery Methods

article

In Silico Molecular Docking and ADMET Analysis of Quinoline Compounds as Anti-SARS-CoV-2 Agents

Muhammad Zeeshan, Sidra Batool, Ayesha Afzal

September 24, 2025article en

Abstract

No abstract available for this paper.

Medinformatics

Zhengzhou University (CN), Kauno kolegija Higher Education Institution (LT)

Openalex Percentile: Top 72%

Computational Drug Discovery Methods

DOI Open Access PDF OpenAlex

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In Silico Molecular Docking and ADMET Analysis of Quinoline Compounds as Anti-SARS-CoV-2 Agents — Muhammad Zeeshan, Sidra Batool, et al. · Medinformatics (2025) | TGRS Research Map | TGRS