{"title":"基于分子模拟的丝素蛋白在周围神经修复中的药理作用研究。","authors":"Nasser Alotaiq, Samir Chtita, Doni Dermawan","doi":"10.1021/acschemneuro.5c00375","DOIUrl":null,"url":null,"abstract":"<p><p>Peripheral nerve injury (PNI) remains a significant clinical challenge, often leading to impaired nerve regeneration and chronic neuropathic pain. Can Si (Silk Fibroin), a key component of traditional Chinese medicine (TCM), has long been recognized for its regenerative properties, yet its molecular mechanisms in PNI treatment remain unexplored. To elucidate the pharmacological actions of Silk Fibroin, an integrative molecular simulation approach was applied. Network pharmacology was employed to identify the most favorable target receptor for PNI, leading to the selection of the glucocorticoid receptor (GR) due to its critical role in inflammation and nerve repair. Molecular docking simulations evaluated the binding affinities of chemical and protein-based compounds from Silk Fibroin to GR, followed by molecular dynamics (MD) simulations to confirm the stability of these interactions under physiological conditions. Pharmacophore modeling identified key structural features essential for bioactivity, while in silico toxicity assessments evaluated the safety profiles of the compounds. Key bioactive compounds from Silk Fibroin, including Catechin, Hesperetin, and Menaquinone-7, demonstrated strong interactions with GR, with MM/PBSA-based binding free energy values of -35.98 -33.65, and -32.13 kcal/mol, respectively. Protein-based compounds, such as Bombyxin A-5 (-228.06 kcal/mol) and small ribosomal subunit protein uS11 (-204.98 kcal/mol), also displayed promising binding affinities, suggesting potential neuroprotective roles. In silico toxicity assessments revealed favorable safety profiles for most of the compounds. This study highlights Silk Fibroin as a promising source of therapeutic agents for PNI. Future studies should focus on the experimental validation of these computational findings through in vitro and in vivo models.</p>","PeriodicalId":13,"journal":{"name":"ACS Chemical Neuroscience","volume":" ","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Molecular Simulation-Based Insights into the Pharmacological Role of Silk Fibroin in Peripheral Nerve Repair.\",\"authors\":\"Nasser Alotaiq, Samir Chtita, Doni Dermawan\",\"doi\":\"10.1021/acschemneuro.5c00375\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Peripheral nerve injury (PNI) remains a significant clinical challenge, often leading to impaired nerve regeneration and chronic neuropathic pain. Can Si (Silk Fibroin), a key component of traditional Chinese medicine (TCM), has long been recognized for its regenerative properties, yet its molecular mechanisms in PNI treatment remain unexplored. To elucidate the pharmacological actions of Silk Fibroin, an integrative molecular simulation approach was applied. Network pharmacology was employed to identify the most favorable target receptor for PNI, leading to the selection of the glucocorticoid receptor (GR) due to its critical role in inflammation and nerve repair. Molecular docking simulations evaluated the binding affinities of chemical and protein-based compounds from Silk Fibroin to GR, followed by molecular dynamics (MD) simulations to confirm the stability of these interactions under physiological conditions. Pharmacophore modeling identified key structural features essential for bioactivity, while in silico toxicity assessments evaluated the safety profiles of the compounds. Key bioactive compounds from Silk Fibroin, including Catechin, Hesperetin, and Menaquinone-7, demonstrated strong interactions with GR, with MM/PBSA-based binding free energy values of -35.98 -33.65, and -32.13 kcal/mol, respectively. Protein-based compounds, such as Bombyxin A-5 (-228.06 kcal/mol) and small ribosomal subunit protein uS11 (-204.98 kcal/mol), also displayed promising binding affinities, suggesting potential neuroprotective roles. In silico toxicity assessments revealed favorable safety profiles for most of the compounds. This study highlights Silk Fibroin as a promising source of therapeutic agents for PNI. Future studies should focus on the experimental validation of these computational findings through in vitro and in vivo models.</p>\",\"PeriodicalId\":13,\"journal\":{\"name\":\"ACS Chemical Neuroscience\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Chemical Neuroscience\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1021/acschemneuro.5c00375\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Chemical Neuroscience","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1021/acschemneuro.5c00375","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Molecular Simulation-Based Insights into the Pharmacological Role of Silk Fibroin in Peripheral Nerve Repair.
Peripheral nerve injury (PNI) remains a significant clinical challenge, often leading to impaired nerve regeneration and chronic neuropathic pain. Can Si (Silk Fibroin), a key component of traditional Chinese medicine (TCM), has long been recognized for its regenerative properties, yet its molecular mechanisms in PNI treatment remain unexplored. To elucidate the pharmacological actions of Silk Fibroin, an integrative molecular simulation approach was applied. Network pharmacology was employed to identify the most favorable target receptor for PNI, leading to the selection of the glucocorticoid receptor (GR) due to its critical role in inflammation and nerve repair. Molecular docking simulations evaluated the binding affinities of chemical and protein-based compounds from Silk Fibroin to GR, followed by molecular dynamics (MD) simulations to confirm the stability of these interactions under physiological conditions. Pharmacophore modeling identified key structural features essential for bioactivity, while in silico toxicity assessments evaluated the safety profiles of the compounds. Key bioactive compounds from Silk Fibroin, including Catechin, Hesperetin, and Menaquinone-7, demonstrated strong interactions with GR, with MM/PBSA-based binding free energy values of -35.98 -33.65, and -32.13 kcal/mol, respectively. Protein-based compounds, such as Bombyxin A-5 (-228.06 kcal/mol) and small ribosomal subunit protein uS11 (-204.98 kcal/mol), also displayed promising binding affinities, suggesting potential neuroprotective roles. In silico toxicity assessments revealed favorable safety profiles for most of the compounds. This study highlights Silk Fibroin as a promising source of therapeutic agents for PNI. Future studies should focus on the experimental validation of these computational findings through in vitro and in vivo models.
期刊介绍:
ACS Chemical Neuroscience publishes high-quality research articles and reviews that showcase chemical, quantitative biological, biophysical and bioengineering approaches to the understanding of the nervous system and to the development of new treatments for neurological disorders. Research in the journal focuses on aspects of chemical neurobiology and bio-neurochemistry such as the following:
Neurotransmitters and receptors
Neuropharmaceuticals and therapeutics
Neural development—Plasticity, and degeneration
Chemical, physical, and computational methods in neuroscience
Neuronal diseases—basis, detection, and treatment
Mechanism of aging, learning, memory and behavior
Pain and sensory processing
Neurotoxins
Neuroscience-inspired bioengineering
Development of methods in chemical neurobiology
Neuroimaging agents and technologies
Animal models for central nervous system diseases
Behavioral research