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Daily Signal March 20, 2026 · 9 min read

Issue #72: Design, Synthesis, Molecular Docking, and Biological Evaluation of Tanshinone IIA Derivatives as Antibreast Cancer Agents.

Protein Design Digest - 2026-03-20 - Mechanisms of Okanin against wound healing based on network pharmacology, molecular docking and molecular dynamics simulation.

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Design, Synthesis, Molecular Docking, and Biological Evaluation of Tanshinone IIA Derivatives as Antibreast Cancer Agents.

In order to explore the effect of amino introduction of Tanshinone IIA on the antitumor activity, 18 novel N-substituted tanshinone IIA derivatives were synthesized and investigated for their anti-proliferative activity in a panel of cancer cell lines. The biological evaluation of antiproliferative assay led to the discovery of compound TA-16 with a highly potent cytotoxic effect using cervical, colon, liver and breast cancer cells, with IC50 = 1.25 µM against MCF-7 cell. The mechanistic studies indicated the ability of TA-16 in inducing apoptosis of MCF-7 cells through mitochondrial pathway and arresting the cell cycle at the G0/G1 phase. It exhibited significant anti-metastasis properties by inhibiting the expression of MMP-9 and MMP-2. Moreover, the cytotoxic study of compound TA-16 on the MCF-10A, a normal human breast epithelial cell line, further highlighted the potential of compound TA-16 as an anticancer agent for breast cancer with a selectivity index of 4.95. Molecular docking analyses confirmed the binding interaction between compound TA-16 and its target proteins, validating its mechanism of action and potential as a therapeutic agent for breast cancer.

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Integrated Network Pharmacology and AlphaFold Modeling Reveal ESR1 as a Key Target of Huanglian Jiedu Decoction for Ameliorating Sepsis-Induced Coagulopathy.

Ethnopharmacological relevance Huanglian Jiedu Decoction (HLJDD) was initially documented in the Elbow Reserve Emergency Prescription, an ancient Chinese medical text created in the Eastern Jin Dynasty. This decoction is composed of four herbs: Huanglian (HL, Coptis chinensis Franch.), Zhizi (ZZ, Gardenia jasminoides Ellis), Huangqin (HQ, Scutellaria baicalensis Georgi), and Huangbo (HB, Phellodendron chinense Schneid.). Modern pharmacological research shows that HLJDD exerts multiple therapeutic effects, including antibacterial and anti-inflammatory properties, improvement of coagulation function, and amelioration of cerebral ischemia. Aims of the study Sepsis-induced coagulopathy (SIC) is a critical complication associated with sepsis, characterized by disruptive coagulation. This study evaluated the efficacy of HLJDD in alleviating SIC and elucidated its potential mechanisms through network pharmacology, molecular dynamics, and AlphaFold. Materials and methods The cecal ligation and puncture (CLP) method was used to establish a septic rat model. HLJDD was administered as an intervention. Mortality rates, vital signs, histopathological testing of the lung and kidney, blood cell counts, and coagulation function were assessed to evaluate the severity of coagulation disorders and inflammatory injury across the groups. Network pharmacology was used to identify candidate targets, and the potential mechanism of HLJDD in alleviating SIC was verified by ELISA, RT-qPCR and Western blot. AlphaFold 3 and molecular dynamics simulations were used to predict the potential regulatory mechanisms of ESR1 by the major compound of HLJDD. Results This study demonstrated that HLJDD improved coagulation dysfunction, reduced inflammatory response and lung and kidney pathological damage in CLP-induced sepsis rats, and significantly improved survival rate. The major compounds of HLJDD were identified by integrated network pharmacology and UPLC-Q-TOF-MS. ESR1, IL-6, and CXCL8 were identified as potential targets for HLJDD in alleviating SIC. In the validation of the predicted results, HLJDD restored reduced ESR1 expression in the lungs and kidneys of sepsis rats and exhibited good regulatory effects on IL-6 and CINC-1 (a functional CXCL8 analog in rats). Furthermore, quercetin was identified as the major compound of HLJDD. Molecular docking and molecular dynamics simulations suggested that quercetin has a good binding affinity for ESR1. Based on AlphaFold 3 structural modeling analysis, quercetin may alleviate SIC by mediating the regulation of ESR1 recognition of estrogen response elements (EREs). Conclusion In summary, HLJDD alleviates SIC by reducing PT, APTT levels and increasing the FIB contents. Our study indicates that the mechanism involves the upregulation of ESR1, which enhances ESR1-ERE binding to suppress inflammation and microthrombosis. This elucidates a specific mode of action for HLJDD, highlighting its potential value in SIC treatment.

AI-enabled protein design facilitates future plant research and crop breeding.

Artificial intelligence (AI) is poised to reshape the research paradigm of the life sciences by rapidly advancing the adoption of protein language models and their derivative tools. These technologies are increasingly being applied to protein structure prediction, function analysis, and protein design throughout the life sciences, and have only recently begun to gain attention within the plant science community. Moreover, while the era of AI-driven bio-breeding is on the horizon, it remains largely in the proof-of-concept stage. Therefore, there is a pressing need not only to outline the fundamental principles, models, and tools in this rapidly evolving field, but also to explore their potential applications in plant research and crop breeding. This review begins by introducing general principles and widely used models for protein understanding and generation, supported by illustrative case studies that highlight how these tools are advancing fundamental plant research. For instance, the analyses of two maize (Zea mays) genes demonstrate how a structure-aware interpretation of the relationships between mutations and protein function enables more precise hypothesis generation and facilitates experimental validation. Subsequently, the review presents generic AI-enabled protein engineering strategies and pipelines, including rational, semi-rational, refactoring, and de novo design, tailored to diverse protein engineering objectives. These approaches aim to create artificial variants and synthetic proteins with improved or novel functions to foster innovation in crop breeding. Finally, the significant challenges of applying protein design in plants are discussed, particularly in light of the limited availability of experimentally resolved protein structures and the inherent complexity of plant biological systems.

Validating the potential mechanism and therapeutic effect of Qinlian Jiangxia decoction in the treatment of type 2 diabetes mellitus complicated with hyperlipidemia through network pharmacology, molecular docking, molecular dynamics simulation, andexperiments.

Objective To investigate the mechanism of action of Qinlian Jiangxia decoction (, QLJXD) in the treatment of type 2 diabetes mellitus (T2DM) complicated by hyperlipidemia using network pharmacology, molecular docking, molecular dynamics simulation and in vivo experiments. Methods Drug components, targets and disease targets were identified using databases such as TCM systems pharmacology database and analysis platform and GeneCards. The intersecting targets were subjected to protein-protein interaction analysis using the search tool for the retrieval of interacting genes/proteins database. Subsequently, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis of the intersecting targets were conducted using the Metascape platform to identify core components and targets. The results were validated using molecular docking, molecular dynamics simulations and in vivo experiments. Results QLJXD contains 76 active ingredients and 136 disease targets. The core ingredients are quercetin, β-sitosterol, wogonin and baicalein, while the core targets are fatty acid binding protein 4 (FABP4) and peroxisome proliferative activated receptor gamma (PPARG). Molecular docking and molecular dynamics simulations revealed that the core ingredients bound well to the core targets. Animal experiments demonstrated that QLJXD effectively inhibited the expression of FABP4 and increased the expression of PPARG, thereby enhancing disorders of glycolipid metabolism. Conclusion The putative therapeutic efficacy of QLJXD in the management of T2DM complicated with hyperlipidemia may be ascribed to the synergistic actions of multiple components, such as quercetin, β-sitosterol, wogonin, and baicalein, which collectively modulate FABP4 and PPARG molecular targets.

Research & AI Updates

From the Industry

Quick Reads

Multi-omics investigation of benzo[a]pyrene in gastric cancer: comprehensive network toxicology, machine learning and molecular docking approaches.

Gastric cancer (GC) risk is shaped by environmental exposures such as benzo[a]pyrene (BaP). Read more →

Evaluation of drug-excipient compatibility of ibuprofen with eggshell-derived calcium citrate using FTIR, DSC, and molecular docking studies.

Eggshells hold long-lasting nutritional and medicinal relevance in African folklore, often administered traditionally in its crushed or powdered form to ameliorate bone issues, treat calcium deficiency, and promote well-being. Read more →

Design, Synthesis, Molecular Docking, and Biological Evaluation of Tanshinone IIA Derivatives as Antibreast Cancer Agents.

In order to explore the effect of amino introduction of Tanshinone IIA on the antitumor activity, 18 novel N-substituted tanshinone IIA derivatives were synthesized and investigated for their anti-proliferative activity in a panel of cancer cell lines. Read more →

Developing an innovative chimeric multi-epitope subunit vaccine against Staphylococcus intermedius using an immunoinformatics strategy via Multi-omics approaches.

Streptococcus intermedius is a major human pathogen associated with invasive diseases such as meningitis and endocarditis. Read more →

Multitarget Anticoccidial Activity of Olive Seed Phenolic Compounds Against Eimeria spp.: Insights from Molecular Docking and In Vitro Validation.

Port placement and patient-specific docking strategies for robotic hysterectomy with the Hugo™ RAS system: an international Delphi consensus.

Robotic-assisted hysterectomy is increasingly performed using modular platforms such as the Hugo™ roboticassisted surgery (RAS) system, but optimal or personalised docking strategies remain undefined. Read more →

Optogenetic manipulation of estrogen receptor signaling to improve estrogen deficiency.

Estrogen receptor (ER)-mediated genomic actions are crucial for maintaining various physiological functions, and their dysfunction is associated with numerous human diseases. Read more →

Systemic immunometabolic profiling classifies cisplatin sensitivity states using interpretable machine learning.

Cisplatin resistance limits the effectiveness of platinum-based chemotherapy for lung adenocarcinoma, yet practical systemic diagnostics for cisplatin sensitivity are lacking. Read more →

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Deep learning is not a magic wand, but a powerful lens for structural biology. — Recep Adiyaman

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