Issue #28: Predicting the Mechanism of Action of Bawei Chufan Soup in Treating Teen Depression through Network Pharmacology, Molecular Docking and Molecular Dynamics Simulation.

Signal of the Day

Predicting the Mechanism of Action of Bawei Chufan Soup in Treating Teen Depression through Network Pharmacology, Molecular Docking and Molecular Dynamics Simulation.

Introduction The Bawei Chufan Soup (BWCFS) in Traditional Chinese Medicine (TCM) offers unique advantages in treating Teen Depression (TD). This study utilizes network pharmacology, molecular docking, and molecular dynamics simulations to predict the material basis and mechanism of action of the decoction. Methods The TCMSP, SwissADME, and SwissTargetPrediction databases were utilized to obtain the active ingredients and targets of the BWCFS. The GeneCards, OMIM, and Disgenet databases were used to identify disease targets, and the intersection of these sets was determined using the VENNY tool. The intersecting targets were imported into the String database for protein- protein interaction analysis and the screening of core targets. GO and KEGG enrichment analyses of the intersecting targets were conducted using the David database, and drugcomponent- target-pathway network diagrams were constructed using Cytoscape 3.10.0 software. The molecular docking models of the core components and key targets were generated using AutoDock Vina, and kinetic simulations were conducted using GROMACS 2020.3, paired with the best docking models. Results After screening, the study identified the core components of BWCFS as Baicalein, Kaempferol, Quercetin, Cerevisterol, and Cavidine, with the key targets for TD being AKT1, IL6, TNF, ESR1, and IL1B. GO enrichment analysis revealed that BWCFS may affect signal transduction in the treatment of TD, and is associated with cellular components such as the plasma membrane and dendrites, as well as the regulation of protein binding. KEGG analysis suggested that the intersecting genes are primarily enriched in the cyclic adenosine monophosphate (cAMP) signaling pathway. Molecular docking results indicated that AKT1 shows good binding affinity with Baicalein, Cavidine, Kaempferol, and Quercetin, while Cerevisterol exhibits strong binding with TNF. The molecular dynamics simulations were stable and reliable. During the protein-ligand complex simulation, the binding between the protein and ligand was stable, with van der Waals interactions as the primary force, while hydrogen bonds were present between both the protein and ligand. Discussion Though this study has several common limitations associated with network pharmacology, and no animal experiments have been conducted for verification, the study has successfully explored and validated the mechanism of action of BWCFS in treating TD using scientific computational methods. This study provides new perspectives and methods for the development and management of pharmacological treatments for TD, offering innovative insights into TCM approaches for its treatment. Conclusion Through network pharmacology, this study preliminarily predicted the material basis and mechanism of action of BWCFS in treating TD. Furthermore, the therapeutic effects of BWCFS on TD may be associated with neuroinflammation and structural and functional changes in neuronal dendrites. The cAMP-PKA-NF-κB and cAMP-PI3K-AKT-NF-κB pathways are proposed as potential therapeutic targets.

Why this matters: Enhances small-molecule or peptide docking accuracy for targeted drug discovery.

Also Worth Reading

In Silico Investigation Reveals <i>IL-6</i> as a Key Target of Asiatic Acid in Osteoporosis: Insights from Network Pharmacology, Molecular Docking, and Molecular Dynamics Simulation.

Background/objectives Osteoporosis is a multifactorial skeletal disorder in which chronic inflammation, dysregulated cytokine signaling, and metabolic imbalance contribute to excessive bone resorption and impaired bone formation. Asiatic acid has demonstrated bone-protective effects, but its molecular mechanisms in osteoporosis remain incompletely understood. This study aimed to investigate the anti-osteoporotic mechanisms of asiatic acid using an integrative in silico strategy. Methods Network pharmacology analysis was performed to identify osteoporosis-related molecular targets of asiatic acid. Molecular docking was used to predict the binding modes and affinities between asiatic acid and its target proteins. Molecular dynamics simulation was used to assess the structural stability and interaction persistence of the asiatic acid-protein complex. Results Network pharmacology identified 135 overlapping targets between asiatic acid and osteoporosis, with IL-6 , STAT3 , PPARG , and NFKB1 emerging as key hubs. KEGG analysis indicated the PPAR signaling pathway as a potential mechanism underlying the anti-osteoporotic effect. Molecular docking showed strong binding energies of asiatic acid with all predicted target proteins, with the highest affinity observed for IL-6 , involving key residues ASN61, LEU62, GLU172, LYS66, and ARG168. Consistently, molecular dynamics simulation confirmed stable binding of asiatic acid to IL-6 , with persistent interactions with ASN61, LYS66, LEU62, LEU64, and GLN154 mediated by hydrogen bonds, water bridges, and hydrophobic interactions. Conclusions This integrative in silico study provides mechanistic insight into the potential anti-osteoporotic actions of asiatic acid, implicating IL-6 as a plausible upstream molecular target. These results establish a robust mechanistic framework for future translational studies exploring asiatic acid as a natural therapeutic candidate for osteoporosis.

Exploring the mechanism of Kemofang in treating idiopathic membranous nephropathy based on LC-MS/MS combined with network pharmacology, molecular docking, and molecular dynamics simulation.

Idiopathic membranous nephropathy (IMN), an autoimmune glomerular disease, arises from in situ immune complex deposition in the glomerular subepithelial spaces, triggering complement activation and podocyte injury. Although the Kemo Formula shows therapeutic potential for IMN, its mechanisms remain unclear. This study employed LC-MS/MS, network pharmacology, molecular docking, and dynamic simulations to elucidate the mechanism of action. LC-MS/MS and the TCMSP database identified 83 bioactive components from 267 chemicals detected in the Kemo Formula. Using PubChem, Swiss Target Prediction, and GeneCards, 827 drug targets and 2581 IMN-related targets were screened, yielding 336 overlapping targets linked to 81 components. Network analysis prioritized 15 key components ( baicalein and quercetin) and 36 core targets (TP53, IL6, and AKT1). Functional enrichment revealed involvement in hormone response, MAPK cascade regulation, and kinase binding with pathways including lipid metabolism, PI3K/Akt, and MAPK signaling. Molecular docking indicated strong binding affinities between the active components and targets, while dynamic simulations predicted the stability of the galangin-AKT1 complex. The Kemo Formula likely mitigates IMN by multi-target modulation, ameliorating lipid dysregulation, suppressing podocyte apoptosis, and attenuating immune-inflammatory and oxidative stress via PI3K/Akt and MAPK pathways. This integrative approach highlights its multicomponent, multitarget therapeutic strategy against IMN, providing a foundation for further mechanistic and clinical exploration.

Discovery of ActRIIB antagonistic peptides from in vitro-digested chicken breast meat via an integrated Peptidomics and molecular docking approach.

Sarcopenia and obesity are major global health challenges. This study investigated peptides from chicken breast meat via in vitro digestion as potent ActRIIB antagonists to promote myogenesis. The intestinal-phase digest collected at 120 min showed the highest degree of hydrolysis (65.99 % ± 4.00 %) and enhanced C2C12 proliferation (128.15 % ± 9.90 %). Peptidomics identified peptides mainly from myofibrillar proteins and metabolic enzymes. Molecular docking revealed key hydrogen-bonding residues, including Glu 95 , Pro 117 , Glu 94 , Thr 93 , Asn 96 (Chain A), Ser 97 (Chain L), and Ser 59 (Chain H). Surface plasmon resonance showed that KEKLHVYKHIEK, EIKKEEKKEER, and DLENDKQQLDEK exhibited strong ActRIIB-binding affinity (K D : 0.514, 0.813, 1.91 μM). These peptides enhanced cell proliferation, inhibited myostatin signaling by reducing Smad2/3 phosphorylation, and upregulated MyoD expression. Molecular dynamics simulations (100 ns) indicated that DLENDKQQLDEK-ActRIIB and EIKKEEKKEER-ActRIIB complexes maintained a stable average number of 6 and 10 hydrogen bonds, respectively. Chicken breast-derived peptides thus represent promising functional food ingredients for combating muscle-wasting disorders.

Research & AI Updates

• From Computing Chips to Physical AI: Nobel Laureate Hassabis’ Trillion-Dollar Paradigm Forecast and 51WORLD’s (6651.HK) Industry Breakthrough - TradingView — Track All Markets — From Computing Chips to Physical AI: Nobel Laureate Hassabis’ Trillion-Dollar Paradigm Forecast and 51WORLD’s (6651.HK) Industry Breakthrough    TradingView — Track All Markets.

From the Industry

• USA–Saudi Biotech Alliance Advances Global Immune Medicine - Oncodaily — USA–Saudi Biotech Alliance Advances Global Immune Medicine    Oncodaily.
• INTENT Biologics Receives FDA Agreement Granting a Full Waiver for its Pediatric Study Plan for PEP Biologic™ in Advanced Wound Care - Business Wire — INTENT Biologics Receives FDA Agreement Granting a Full Waiver for its Pediatric Study Plan for PEP Biologic™ in Advanced Wound Care    Business Wire.
• A ‘lightbulb moment’: AI-designed intrabody probes track activity inside living cells - BioTechniques — A ‘lightbulb moment’: AI-designed intrabody probes track activity inside living cells    BioTechniques.
• Transient Protein Expression Market Size, Share | CAGR of 11.1% - Market.us — Transient Protein Expression Market Size, Share | CAGR of 11.1%    Market.us.
• AAX Biotech and Vascurie announce new neuro-oncology collaboration - PharmaTimes — AAX Biotech and Vascurie announce new neuro-oncology collaboration    PharmaTimes.
• 2026: the year AI stops being optional in drug discovery - Drug Target Review — 2026: the year AI stops being optional in drug discovery    Drug Target Review.
• Layoff Tracker: Takeda Slashes US Headcount, Hitting Neuro Commercial Teams Hard - BioSpace — Layoff Tracker: Takeda Slashes US Headcount, Hitting Neuro Commercial Teams Hard    BioSpace.

Quick Reads

The multi-target mechanisms of β-sitosterol in Alzheimer’s disease: Integrative evidence from network pharmacology, molecular docking, and mendelian randomization.

β-Sitosterol, a widely distributed phytosterol, has shown therapeutic potential against Alzheimer’s disease (AD); however, its system-level mechanisms remain unclear. Read more →

Deciphering bisphenol A (BPA)-elicited osteoarthritis mechanisms through network toxicology and molecular docking, then de novo generation of novel therapeutic candidates.

Objective Bisphenol A (BPA), a pervasive environmental pollutant, is increasingly associated with osteoarthritis (OA) development, yet its molecular mechanisms remain unknown. Read more →

Protein folding stability estimation with explicit consideration of unfolded states.

Folding stability is crucial for the vast majority of proteins. Read more →

Assessment of antimicrobial activity by LC-HRMS profiling and Molecular Docking of Bioactive Compounds from Dytiscus marginalis, an aquatic coleopteran

Abstract Background The rapid rise in antibiotic resistance highlights the need for new antimicrobial agents. Read more →

Isovanillin-derived bis-hydrazones as dual cholinesterase and carbonic anhydrase inhibitors: synthesis, enzymatic profiling, and computational insights from molecular docking and dynamics.

Aims To develop isovanillin-based bis-hydrazones as multitarget inhibitors of acetylcholinesterase (AChE), butyrylcholinesterase (BChE), and human carbonic anhydrase I/II ( h CA I/II). Read more →

Targeted anticancer potential of oxazole derivative against breast cancer: Synthesis, molecular docking, dynamics simulation, and in vitro evaluation on ERBB3 receptor.

The study investigates 5- ((2-nitrobenzylidene) amino 2-phenyloxazole-4-carbonitrile (PS13), a derivative of the oxazole that was designed to block the ERBB3 receptor that plays a role in breast cancer development. Read more →

Design, Synthesis, Molecular Docking, Dynamics Simulation, and Biological Evaluation of Novel Thiazolidinedione Derivatives Against Breast Cancer with Apoptosis-Inducing Activity.

Breast cancer remains one of the leading causes of cancer-related deaths among women worldwide. Read more →

Two cases of TBL1XR1 heterozygous variants in children: a new splicing site variant identification and functional analysis through molecular docking and molecular dynamics simulation.

Pipeline Tip

Check for missing residues in PDB files using PDB-Fixer before simulation.

Resources & Tools

• Dataset: CATH - Hierarchical protein domain classification for structure and function.
• Dataset: SCOPe - Curated structural classification of proteins for fold analysis.
• Tool: MMseqs2 - Fast and sensitive sequence search and clustering suite. View all tools →
• Tool: HHSuite - Remote homology detection with HMM-HMM comparison. View all tools →
• Event: Protein Design Hub (LinkedIn Group) (Ongoing)
• Event: Structural Biology Events (Open)
• Job: Jack Link’s Protein Snacks Cybersecurity Intern - SmartRecruiters at SmartRecruiters
• Job: Jack Link’s Protein Snacks Sr. Regulatory Affairs Specialist - SmartRecruiters at SmartRecruiters

The protein structure is the language of life; design is its poetry. — Recep Adiyaman