key: cord-0891033-58wqsyp2 authors: Jia, Congchao; Peng, Xinya; Chi, Hao; Tian, Gang title: Commentary: Potential Mechanism Prediction of Herbal Medicine for Pulmonary Fibrosis Associated With SARS-CoV-2 Infection Based on Network Analysis and Molecular Docking date: 2021-11-02 journal: Front Pharmacol DOI: 10.3389/fphar.2021.781941 sha: 6fee150dec4ba5ec6a970224eb57a13a46fefeaf doc_id: 891033 cord_uid: 58wqsyp2 nan that pulmonary fibrosis associated with SARS-CoV-2 has some commonalities with pulmonary fibrosis associated with other causes or idiopathic pulmonary fibrosis, but pulmonary fibrosis associated with SARS-CoV-2 also has its characteristics. Unfortunately, Jin et al. did not notice this, and they roughly collected the targets related to pulmonary fibrosis based on the OMIM database, drug bank database, and the DisGeNET database. Then, in the GO biological process and KEGG pathway enrichment section, the enrichment strategy is unclear and the results are unreliable. Four of the top five of the KEGG pathway (Pathways in cancer, Pancreatic cancer, Bladder cancer, Colorectal cancer) are associated with cancer, which is not relevant to what we are studying. At the molecular docking part, there are also some problems. Molecular docking is a process through which small molecules are docked into the macromolecular structures for scoring their complementary values at the binding sites (Saikia & Bordoloi, 2019) . The reliability of molecular docking depends on the accuracy of the adopted scoring function, and the scoring function can be used to determine the binding mode and site of a ligand, predict binding affinity and identify the potential drug leads for a given protein target (Li, Fu, & Zhang, 2019) . However, there is no universal scoring algorithm for each molecular docking calculation (Cheng, Li, Li, Liu, & Wang, 2009; Li et al., 2019; Saikia & Bordoloi, 2019) . Moreover, the docking score is only a relative reference value, and there is no literature supporting that the docking score is greater than three was considered a stable compound binding to the protein. Finally, the active components identified by the author, such as quercetin, kaempferol, luteolin, are widely distributed in a variety of plants, and a large number of network pharmacology studies have identified quercetin, kaempferol, and luteolin, among others, as candidate molecules for COVID-19 (Huang, Bai, He, Xie, & Zhou, 2020; Xia et al., 2020; Gu et al., 2021; Niu et al., 2021; Ye et al., 2021) . It is highly unreliable. The same molecules being repeatedly found may not indicate an actual result, but instead, they may be due to non-specific interactions by particular molecules. The small molecules above are pan-assay interference compounds, and further experiments are needed to determine whether they have anti-pulmonary fibrosis effects. COVID-19 remains a global public health problem that places a heavy burden on humanity. The development of anti-COVID-19 drugs is urgent, but more attention should be paid to the issues discussed above. CJ put forward this view and mainly completed this manuscript. HC and XP discussed the topic and provided some help. GT critically revised the manuscript. This study was funded by the Health and Family Planning Commission of Sichuan Province (Grant no. 18PJ104). Comparative Assessment of Scoring Functions on a Diverse Test Set SwissTargetPrediction: Updated Data and New Features for Efficient Prediction of Protein Targets of Small Molecules Quercetin as a Potential Treatment for COVID-19-Induced Acute Kidney Injury: Based on Network Pharmacology and Molecular Docking Study Review on the Potential Action Mechanisms of Chinese Medicines in Treating Coronavirus Disease 2019 (COVID-19) Databases for Facilitating Mechanistic Investigations of Traditional Chinese Medicines against COVID-19 Potential Mechanism Prediction of Herbal Medicine for Pulmonary Fibrosis Associated with SARS-CoV-2 Infection Based on Network Analysis and Molecular Docking An Overview of Scoring Functions Used for Protein-Ligand Interactions in Molecular Docking Network Pharmacology for the Identification of Phytochemicals in Traditional Chinese Medicine for COVID-19 that May Regulate Interleukin-6 Idiopathic Pulmonary Fibrosis Molecular Docking: Challenges, Advances and its Use in Drug Discovery Perspective Network Pharmacology and Molecular Docking Analyses on Lianhua Qingwen Capsule Indicate Akt1 Is a Potential Target to Treat and Prevent COVID-19 Network Pharmacology, Molecular Docking Integrated Surface Plasmon Resonance Technology Reveals the Mechanism of Toujie Quwen Granules against Coronavirus Disease The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.