Study on the Mechanism of Action of Qi Zhu Formula in the Treatment of Metabolic-associated Fatty Liver Disease based on Network Pharmacology and Experimental Validation
The aim of the study was to investigate the mechanism of Qi Zhu Formula (QZF) against Metabolic-Associated Fatty Liver Disease (MAFLD) via network pharmacology and experimental validation.
A Pharmacoinformatics and Molecular Dynamics Approach to the Phytochemical Screening of Ficus hispida Fruits for Prostate Cancer Therapy
Prostate cancer is one of the most prevalent malignancies and a leading cause of cancer-related deaths among men. The androgen receptor (AR) plays a pivotal role in the development and progression of prostate cancer, making it a promising therapeutic target. This study aimed to evaluate the therapeutic potential of phytochemicals derived from the fruit of Ficus hispida in inhibiting the androgen receptor (PDB ID: 5T8E), thereby contributing to the treatment of prostate cancer.
Exploring the Selective Potential Inhibitors for Homologous Protein BD1/BD2 with MD and AIDD Methods
The study aims to explore selective potential inhibitors for the homologous BD1/BD2 domains of bromodomain-containing protein 4 (BRD4) and uncover the binding mechanisms between these inhibitors and BD1/BD2. Given BRD4's role as an epigenetic regulator and its potential in treating triple-negative breast cancer (TNBC), overcoming the challenge of domain-specific inhibition due to the structural similarity of BD1 and BD2 is crucial.
Assessing Lung Injury Induced by Streptozotocin-induced Diabetes: A Deep Neural Network Analysis of Histopathological and Immunohistochemical Images
Diabetes mellitus is an endocrine disorder characterized by metabolic abnormalities and chronic hyperglycemia, caused by insulin deficiency (Type I) or resistance (Type II). It affects various tissues differently, and its complications extend beyond classical targets, such as the kidneys and eyes, to lesser-studied organs, including the lungs. Understanding tissue-specific damage is crucial for effective disease management and the prevention of complications.
Identification of Potential Phytochemical Inhibitors of DNMT1 through Virtual Screening and Molecular Dynamics Simulation to Promote Diabetic Wound Healing
DNA methyltransferase 1 (DNMT1) has recently emerged as a potential therapeutic target for diabetic wound healing (DWH). Studies have shown that inhibition of DNMT1 may be valuable in accelerating DWH.
Mutations in Penicillin G Acylase: A 4D QSAR-based Approach for Enhancing Efficacy of β-lactam Antibiotics
Penicillin G Acylase (PGA) plays a central role in the synthesis of β- lactam antibiotics. While certain variants have been extensively studied, their catalytic efficiency remains suboptimal for industrial application, necessitating further enzyme engineering to enhance substrate binding and reaction kinetics. This study aims to rationally design and engineer PGA variants with improved catalytic efficiency and stability toward β-lactam antibiotics, using an integrated approach of 4D QSAR modeling and neural network-guided mutation prediction.
Mechanism of Coptisine in Rotator Cuff Injury: PI3K/Akt/mTORinflammation Crosstalk Uncovered by Network Pharmacology and Experimental Validation
This study aimed to investigate the therapeutic mechanism of coptisine in rotator cuff injury (RCI) through network pharmacology and experimental validation. This is the first study to examine the role of coptisine in rotator cuff injury (RCI), revealing a novel mechanism by which coptisine inhibits the PI3K/Akt/mTOR pathway, thereby coordinating inflammation resolution and tendon repair.
TOP-BIOCom: A Feature Fusion-based Prediction of Protein Complexes from PPI Networks
Protein-Protein Interactions (PPI) are crucial for cellular functions. Computational prediction of protein complexes from PPI networks is essential, yet traditional methods relying solely on network topology often lack biological features. Integrating topological and biological features can enhance prediction accuracy.
Wound Healing Properties of Nymphaea alba (Nymphaeaceae) Flower Extract: Evidence from In Vivo, In Vitro, and In Silico Network Analysis
The white water lily (Nymphaea alba) is a traditional medicinal plant recognized for its diverse array of bioactive properties. However, its potential in wound healing remains largely unexplored. This study aimed to evaluate the phytochemical profile, cytotoxicity, and wound healing efficacy of Nymphaea alba flower extract (NAFE) using both in vitro and in vivo models, as well as computational network analysis.
Through Network Pharmacology Combined with Artificial Intelligence Techniques, Potential Targets of Banxia Xiexin Decoction for the Treatment of Functional Dyspepsia were Identified and Validated
Banxia Xiexin Decoction (BXD) has been shown to exert therapeutic effects on Functional dyspepsia (FD). This study aims to investigate the therapeutic mechanisms of BXD in treating FD.
Elucidating the Mechanisms of a Patented Chinese Herbal Medicine for Ovarian Cystadenoma via Network Pharmacology, Molecular Docking, and Molecular Dynamics Simulations
Ovarian cystadenoma (OC) is a common benign tumor in women. Wang's formula for gynecological masses (WGM), a patented traditional Chinese medicine, was reported to have therapeutic potential for OC.
Elucidating the Mechanism of Xiaoqinglong Decoction in Chronic Urticaria Treatment: An Integrated Approach of Network Pharmacology, Bioinformatics Analysis, Molecular Docking, and Molecular Dynamics Simulations
Xiaoqinglong Decoction (XQLD) is a traditional Chinese medicinal formula commonly used to treat chronic urticaria (CU). However, its underlying therapeutic mechanisms remain incompletely characterized. This study employed an integrated approach combining network pharmacology, bioinformatics, molecular docking, and molecular dynamics simulations to identify the active components, potential targets, and related signaling pathways involved in XQLD's therapeutic action against CU, thereby providing a mechanistic foundation for its clinical application.
Decoding the Molecular Mechanism of Bioactive Compounds Derived from Microalgae via Transcriptomics Data and Integrative Bioinformatics Analysis
Microalgae, with their high photosynthetic efficiency and sustainability, hold promise to produce bioactive compounds, chemicals, cosmetics, and biofuels. This study aims to understand the molecular mechanisms of bioactive compounds from microalgae using integrative bioinformatics approaches to identify their potential therapeutic applications.
A Multiscale Computational Study for the Identification of Novel Inhibitors Targeting Tau-Tubulin Kinase 1 (TTBK1) in Alzheimer's Disease
Excessive phosphorylation of tau protein by the tau-tubulin kinase 1 (TTBK1) enzyme is implicated in the pathogenesis of several neurodegenerative diseases. Based on a comprehensive literature review and availability of the co-crystal structure of TTBK1 in complex inhibitor (pdb id 4BTK), we designed a multiscale computational approach to identify novel hits from the ZINC13 chemical library.
Investigation of Novel Etoricoxib Analogues as Potential COX-II Inhibitors through a Bioisosteric Strategy, ADMET Evaluations, Docking Studies, and Molecular Dynamics Simulations
Inflammation is a natural process; however, chronic inflammation may result in numerous health issues. Etoricoxib (ETX), a selective cyclooxygenase-2 (COX-2) inhibitor, serves as an anti-inflammatory agent for various types of arthritis. However, prolonged use of ETX is associated with several adverse effects, including cardiovascular toxicity.
A Comprehensive Molecular Dynamic Simulation Study of Plant Bioactive Phytoconstituents as Inhibitors for SARS-CoV-2 Main Protease and Spike (S) Glycoprotein
Since the commencement of the COVID-19 pandemic, researchers have been earnestly exploring the capacity of diverse bioactive compounds present in plants to impede the transmission of SARS-CoV-2. Plants have always held a special place in scientific research as invaluable bio-factories capable of producing a diverse array of chemical compounds with promising therapeutic applications. Cichorium intybus is among these plants, known for its rich reservoir of bioactive phytoconstituents with significant potential for variable health benefits.
Screening of the Prodiginine Molecules as BH3-Mimetics against the Developed Bcl-2 Antiapoptotic Chemotherapeutic Resistance: A Molecular Docking and ADMET Study Supported by Molecular Dynamics Simulations
Chemotherapy remains a primary treatment for stopping cancer cell growth. Unfortunately, resistance to chemotherapy is a challenge that leads to cancer relapse. Overexpression of the antiapoptotic proteins is a major cause of this resistance. BH3 mimetic compounds were developed in this work to deal with this issue by blocking the Bcl-2 antiapoptotic proteins. Currently, only a few BH3 mimetics are approved drugs, and even fewer can effectively target all antiapoptotic Bcl-2 proteins.
Validation of the Mechanism of Action of Jiedu Shengji Oil in the Treatment of Radiation Dermatitis based on Network Pharmacology and In Vivo Experiments
Radiation Dermatitis (RD) is a common complication of radiation therapy, with approximately 90% of patients experiencing moderate to severe radiation dermatitis injury after radiotherapy. Jiedu Shengji oil (JDSJY) is a commonly used herbal topical preparation in our hospital, with remarkable clinical efficacy in treating radiation dermatitis. However, the mechanism of JDSJY in treating RD is unclear.
In Silico Identification of 2,4-Diaryl-6-styrylpyridine Derivatives as Orthosteric-Allosteric EGFR Inhibitors
Epidermal growth factor receptor tyrosine kinase [EGFR TK] is a primary target for inhibiting cellular signal transduction in several types of cancer. Numerous EGFR TK inhibitors have been developed and approved as standard therapy for cancer management. However, the development of drug resistance and significant adverse effects have encouraged the search for alternative EGFR TK inhibitors.
Advances in Computational Approaches for Drug Discovery and Design
Network Pharmacology and Molecular Docking to Explore the Mechanism of Compound Qilian Tablets in Treating Diabetic Retinopathy
Diabetic Retinopathy (DR) is one of the common chronic complications of diabetes mellitus, which has developed into the leading cause of irreversible visual impairment in adults worldwide. The Compound Qilian Tablets (CQLT) were developed in China for the treatment and prevention of DR, but their mechanism of action still needs to be clarified.
