{"title":"结直肠癌治疗中Wnt信号通路潜在调节剂微生物代谢物的基于药效团的鉴定和计算机表征","authors":"Divya Sharma, Sivakumar Arumugam","doi":"10.1007/s11030-024-11103-4","DOIUrl":null,"url":null,"abstract":"<p><p>Aberrant activation of the Wnt/β-catenin signaling pathway, primarily driven by APC mutation and AXIN degradation via Tankyrase, contributes significantly to colorectal cancer (CRC) progression and metastasis. The accumulation of β-catenin, resulting from the dysregulated ubiquitination, underscores the need for alternative therapeutic strategies targeting Tankyrase and β-catenin. This present study explores microbial metabolites as a source of novel anti-cancer agents, leveraging their unique bioactivity and structural diversity, often exhibiting superior target specificity and lower toxicity than synthetic drugs. Through a computational drug discovery pipeline, a large library of 27641 microbial metabolites was initially screened based on multiple drug-likeliness criteria, resulting in the selection of 2527 compounds. Among the screened compounds, an integrated computational workflow comprising molecular docking, molecular dynamic simulations (MDS), MM/PBSA analysis, and Principal component analysis (PCA) identified Terreustoxin I (T1) as a potential Tankyrase inhibitor. In contrast, compound 10- phenyl-[12]-cytochalasin Z16 (B1) demonstrated a strong binding affinity within the β-catenin active site. Under physiological conditions, these lead compounds were evaluated for conformational stability, binding efficacy, and dynamic behavior. Additionally, ADMET profiling, physiochemical properties, and bioactivity score predictions confirmed the identified compounds' pharmacokinetic suitability and reduced toxicity profile. In silico, cytotoxicity predictions showed significant activity against SW480 and HCT90 colorectal cell lines, with additional anti-neoplastic and anti-leukemic properties, strengthening their candidacy as effective anti-cancer agents. These findings provide a foundation for further experimental validation and development of novel CRC therapies with improved safety and efficacy potential.</p>","PeriodicalId":708,"journal":{"name":"Molecular Diversity","volume":" ","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pharmacophore-based identification and in Silico characterization of microbial metabolites as potential modulators of Wnt signaling pathway in colorectal cancer therapy.\",\"authors\":\"Divya Sharma, Sivakumar Arumugam\",\"doi\":\"10.1007/s11030-024-11103-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Aberrant activation of the Wnt/β-catenin signaling pathway, primarily driven by APC mutation and AXIN degradation via Tankyrase, contributes significantly to colorectal cancer (CRC) progression and metastasis. The accumulation of β-catenin, resulting from the dysregulated ubiquitination, underscores the need for alternative therapeutic strategies targeting Tankyrase and β-catenin. This present study explores microbial metabolites as a source of novel anti-cancer agents, leveraging their unique bioactivity and structural diversity, often exhibiting superior target specificity and lower toxicity than synthetic drugs. Through a computational drug discovery pipeline, a large library of 27641 microbial metabolites was initially screened based on multiple drug-likeliness criteria, resulting in the selection of 2527 compounds. Among the screened compounds, an integrated computational workflow comprising molecular docking, molecular dynamic simulations (MDS), MM/PBSA analysis, and Principal component analysis (PCA) identified Terreustoxin I (T1) as a potential Tankyrase inhibitor. In contrast, compound 10- phenyl-[12]-cytochalasin Z16 (B1) demonstrated a strong binding affinity within the β-catenin active site. Under physiological conditions, these lead compounds were evaluated for conformational stability, binding efficacy, and dynamic behavior. Additionally, ADMET profiling, physiochemical properties, and bioactivity score predictions confirmed the identified compounds' pharmacokinetic suitability and reduced toxicity profile. In silico, cytotoxicity predictions showed significant activity against SW480 and HCT90 colorectal cell lines, with additional anti-neoplastic and anti-leukemic properties, strengthening their candidacy as effective anti-cancer agents. 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引用次数: 0
摘要
Wnt/β-catenin信号通路的异常激活,主要由APC突变和Tankyrase降解AXIN驱动,在结直肠癌(CRC)的进展和转移中起重要作用。由于泛素化失调导致β-catenin的积累,强调了针对Tankyrase和β-catenin的替代治疗策略的必要性。本研究探索微生物代谢物作为新型抗癌药物的来源,利用其独特的生物活性和结构多样性,通常表现出优于合成药物的靶向特异性和更低的毒性。通过计算药物发现管道,基于多种药物可能性标准对27641种微生物代谢物进行了初步筛选,最终筛选出2527种化合物。在筛选的化合物中,通过分子对接、分子动力学模拟(MDS)、MM/PBSA分析和主成分分析(PCA)等综合计算流程确定了Terreustoxin I (T1)为潜在的Tankyrase抑制剂。相比之下,化合物10- phenyl-[12]-cytochalasin Z16 (B1)在β-catenin活性位点表现出很强的结合亲和力。在生理条件下,对这些先导化合物的构象稳定性、结合效能和动力学行为进行了评价。此外,ADMET分析、理化性质和生物活性评分预测证实了所鉴定化合物的药代动力学适用性和降低的毒性。在计算机上,细胞毒性预测显示对SW480和HCT90结直肠癌细胞系有显著活性,具有额外的抗肿瘤和抗白血病特性,加强了它们作为有效抗癌药物的候选资格。这些发现为进一步实验验证和开发具有更高安全性和有效性潜力的新型结直肠癌疗法提供了基础。
Pharmacophore-based identification and in Silico characterization of microbial metabolites as potential modulators of Wnt signaling pathway in colorectal cancer therapy.
Aberrant activation of the Wnt/β-catenin signaling pathway, primarily driven by APC mutation and AXIN degradation via Tankyrase, contributes significantly to colorectal cancer (CRC) progression and metastasis. The accumulation of β-catenin, resulting from the dysregulated ubiquitination, underscores the need for alternative therapeutic strategies targeting Tankyrase and β-catenin. This present study explores microbial metabolites as a source of novel anti-cancer agents, leveraging their unique bioactivity and structural diversity, often exhibiting superior target specificity and lower toxicity than synthetic drugs. Through a computational drug discovery pipeline, a large library of 27641 microbial metabolites was initially screened based on multiple drug-likeliness criteria, resulting in the selection of 2527 compounds. Among the screened compounds, an integrated computational workflow comprising molecular docking, molecular dynamic simulations (MDS), MM/PBSA analysis, and Principal component analysis (PCA) identified Terreustoxin I (T1) as a potential Tankyrase inhibitor. In contrast, compound 10- phenyl-[12]-cytochalasin Z16 (B1) demonstrated a strong binding affinity within the β-catenin active site. Under physiological conditions, these lead compounds were evaluated for conformational stability, binding efficacy, and dynamic behavior. Additionally, ADMET profiling, physiochemical properties, and bioactivity score predictions confirmed the identified compounds' pharmacokinetic suitability and reduced toxicity profile. In silico, cytotoxicity predictions showed significant activity against SW480 and HCT90 colorectal cell lines, with additional anti-neoplastic and anti-leukemic properties, strengthening their candidacy as effective anti-cancer agents. These findings provide a foundation for further experimental validation and development of novel CRC therapies with improved safety and efficacy potential.
期刊介绍:
Molecular Diversity is a new publication forum for the rapid publication of refereed papers dedicated to describing the development, application and theory of molecular diversity and combinatorial chemistry in basic and applied research and drug discovery. The journal publishes both short and full papers, perspectives, news and reviews dealing with all aspects of the generation of molecular diversity, application of diversity for screening against alternative targets of all types (biological, biophysical, technological), analysis of results obtained and their application in various scientific disciplines/approaches including:
combinatorial chemistry and parallel synthesis;
small molecule libraries;
microwave synthesis;
flow synthesis;
fluorous synthesis;
diversity oriented synthesis (DOS);
nanoreactors;
click chemistry;
multiplex technologies;
fragment- and ligand-based design;
structure/function/SAR;
computational chemistry and molecular design;
chemoinformatics;
screening techniques and screening interfaces;
analytical and purification methods;
robotics, automation and miniaturization;
targeted libraries;
display libraries;
peptides and peptoids;
proteins;
oligonucleotides;
carbohydrates;
natural diversity;
new methods of library formulation and deconvolution;
directed evolution, origin of life and recombination;
search techniques, landscapes, random chemistry and more;