揭示针对LIM激酶2 (LIMK2)的新型1型抑制剂用于癌症治疗:综合药物信息学方法。

IF 2.6 4区 生物学 Q2 BIOLOGY Computational Biology and Chemistry Pub Date : 2024-11-23 DOI:10.1016/j.compbiolchem.2024.108289
Nagarajan Hemavathy , Vetrivel Umashankar , Jeyaraman Jeyakanthan
{"title":"揭示针对LIM激酶2 (LIMK2)的新型1型抑制剂用于癌症治疗:综合药物信息学方法。","authors":"Nagarajan Hemavathy ,&nbsp;Vetrivel Umashankar ,&nbsp;Jeyaraman Jeyakanthan","doi":"10.1016/j.compbiolchem.2024.108289","DOIUrl":null,"url":null,"abstract":"<div><div>LIMK2 is crucial in regulating actin cytoskeleton dynamics, significantly contributing to cancer cell proliferation, invasion, and metastasis. Inhibitors like LIMKi3 effectively suppress LIMK2 kinase activity by directly affecting actin polymerization and preventing the formation of structures like filopodia and lamellipodia, which are typical of motile cancer cells. By modulating these actin dynamics, LIMKi3 inhibits cancer cell migration and invasion, reducing the potential for metastasis. Thus, this study aims to explore potential anti-cancer therapeutic LIMK2 inhibitors with properties resembling LIMKi3. Henceforth, molecular docking was utilized in this study to comprehend the ATP mimetic binding mode of LIMKi3, followed by Pharmacophore-based virtual screening to identify small molecules resembling LIMKi3. In addition, molecular dynamics simulations were performed to explore the dynamic behavior of LIMK2 and potential inhibitors. Further, network analysis and binding free energy calculations were implemented to comprehensively assess the interactions between the compounds and LIMK2. In molecular docking, LIMKi3 demonstrated an ATP mimetic hinge binding mode with hydrogen bonds at Ile408. Among the screened compounds (NCI300395, ChemDiv-8020–2508, and ChemDiv-7997–0024), three displayed \"ADRH\" pharmacophoric features like LIMKi3, with favorable ADMET properties, higher binding affinity, and significant hydrogen bond interactions at Ile408. LIMK2-inhibitor complexes showed lower RMSD than LIMK2-LIMKi3, indicating higher equilibrium by identified compounds. Protein-drug Complexes exhibited significant inter-domain correlation in N-lobe residues of LIMK2, including conserved β3, αC, and Hinge residues. Binding free energy analysis ranked LIMK2-NCI300395 highest, followed by LIMK2-ChemDiv-7997–0024 and LIMK2-ChemDiv-8020–2508, highlighting their potential as effective LIMK2-targeting compounds. Hence, this study emphasizes LIMKi3's significance and identifies potential candidates (NCI300395, ChemDiv-7997–0024, and ChemDiv-8020–2508) for developing cancer therapeutics targeting LIMK2. These findings open avenues for further investigations into the complex interplay between cytoskeletal dynamics and cancer progression.</div></div>","PeriodicalId":10616,"journal":{"name":"Computational Biology and Chemistry","volume":"115 ","pages":"Article 108289"},"PeriodicalIF":2.6000,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unveiling novel type 1 inhibitors for targeting LIM kinase 2 (LIMK2) for cancer therapeutics: An integrative pharmacoinformatics approach\",\"authors\":\"Nagarajan Hemavathy ,&nbsp;Vetrivel Umashankar ,&nbsp;Jeyaraman Jeyakanthan\",\"doi\":\"10.1016/j.compbiolchem.2024.108289\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>LIMK2 is crucial in regulating actin cytoskeleton dynamics, significantly contributing to cancer cell proliferation, invasion, and metastasis. Inhibitors like LIMKi3 effectively suppress LIMK2 kinase activity by directly affecting actin polymerization and preventing the formation of structures like filopodia and lamellipodia, which are typical of motile cancer cells. By modulating these actin dynamics, LIMKi3 inhibits cancer cell migration and invasion, reducing the potential for metastasis. Thus, this study aims to explore potential anti-cancer therapeutic LIMK2 inhibitors with properties resembling LIMKi3. Henceforth, molecular docking was utilized in this study to comprehend the ATP mimetic binding mode of LIMKi3, followed by Pharmacophore-based virtual screening to identify small molecules resembling LIMKi3. In addition, molecular dynamics simulations were performed to explore the dynamic behavior of LIMK2 and potential inhibitors. Further, network analysis and binding free energy calculations were implemented to comprehensively assess the interactions between the compounds and LIMK2. In molecular docking, LIMKi3 demonstrated an ATP mimetic hinge binding mode with hydrogen bonds at Ile408. Among the screened compounds (NCI300395, ChemDiv-8020–2508, and ChemDiv-7997–0024), three displayed \\\"ADRH\\\" pharmacophoric features like LIMKi3, with favorable ADMET properties, higher binding affinity, and significant hydrogen bond interactions at Ile408. LIMK2-inhibitor complexes showed lower RMSD than LIMK2-LIMKi3, indicating higher equilibrium by identified compounds. Protein-drug Complexes exhibited significant inter-domain correlation in N-lobe residues of LIMK2, including conserved β3, αC, and Hinge residues. Binding free energy analysis ranked LIMK2-NCI300395 highest, followed by LIMK2-ChemDiv-7997–0024 and LIMK2-ChemDiv-8020–2508, highlighting their potential as effective LIMK2-targeting compounds. Hence, this study emphasizes LIMKi3's significance and identifies potential candidates (NCI300395, ChemDiv-7997–0024, and ChemDiv-8020–2508) for developing cancer therapeutics targeting LIMK2. These findings open avenues for further investigations into the complex interplay between cytoskeletal dynamics and cancer progression.</div></div>\",\"PeriodicalId\":10616,\"journal\":{\"name\":\"Computational Biology and Chemistry\",\"volume\":\"115 \",\"pages\":\"Article 108289\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational Biology and Chemistry\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1476927124002779\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Biology and Chemistry","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1476927124002779","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

LIMK2在调节肌动蛋白细胞骨架动力学中起着至关重要的作用,对癌细胞的增殖、侵袭和转移有重要作用。LIMKi3等抑制剂通过直接影响肌动蛋白聚合,阻止运动癌细胞典型的丝状足和板足等结构的形成,有效抑制LIMK2激酶活性。通过调节这些肌动蛋白的动态,LIMKi3抑制癌细胞的迁移和侵袭,降低转移的可能性。因此,本研究旨在探索具有类似LIMKi3特性的潜在抗癌治疗LIMK2抑制剂。因此,本研究通过分子对接了解LIMKi3的ATP模拟结合模式,然后通过基于药效团的虚拟筛选来识别类似LIMKi3的小分子。此外,我们还进行了分子动力学模拟,以探索LIMK2和潜在抑制剂的动力学行为。此外,通过网络分析和结合自由能计算来全面评估化合物与LIMK2之间的相互作用。在分子对接中,LIMKi3表现出与Ile408上的氢键的ATP模拟铰链结合模式。在筛选的化合物(NCI300395、ChemDiv-8020-2508和ChemDiv-7997-0024)中,有3个化合物表现出与LIMKi3类似的“ADRH”药效特征,具有良好的ADMET性质、较高的结合亲和力和显著的Ile408氢键相互作用。limk2 -抑制剂复合物的RMSD低于LIMK2-LIMKi3,表明所鉴定的化合物具有更高的平衡性。蛋白-药物复合物在LIMK2的n-叶残基上表现出显著的结构域间相关性,包括保守的β3、αC和Hinge残基。结合自由能分析结果显示,LIMK2-NCI300395最高,其次是LIMK2-ChemDiv-7997-0024和LIMK2-ChemDiv-8020-2508,显示了它们作为limk2靶向化合物的潜力。因此,本研究强调了LIMKi3的重要性,并确定了潜在的候选药物(NCI300395、ChemDiv-7997-0024和ChemDiv-8020-2508),以开发针对LIMK2的癌症治疗药物。这些发现为进一步研究细胞骨架动力学和癌症进展之间复杂的相互作用开辟了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Unveiling novel type 1 inhibitors for targeting LIM kinase 2 (LIMK2) for cancer therapeutics: An integrative pharmacoinformatics approach
LIMK2 is crucial in regulating actin cytoskeleton dynamics, significantly contributing to cancer cell proliferation, invasion, and metastasis. Inhibitors like LIMKi3 effectively suppress LIMK2 kinase activity by directly affecting actin polymerization and preventing the formation of structures like filopodia and lamellipodia, which are typical of motile cancer cells. By modulating these actin dynamics, LIMKi3 inhibits cancer cell migration and invasion, reducing the potential for metastasis. Thus, this study aims to explore potential anti-cancer therapeutic LIMK2 inhibitors with properties resembling LIMKi3. Henceforth, molecular docking was utilized in this study to comprehend the ATP mimetic binding mode of LIMKi3, followed by Pharmacophore-based virtual screening to identify small molecules resembling LIMKi3. In addition, molecular dynamics simulations were performed to explore the dynamic behavior of LIMK2 and potential inhibitors. Further, network analysis and binding free energy calculations were implemented to comprehensively assess the interactions between the compounds and LIMK2. In molecular docking, LIMKi3 demonstrated an ATP mimetic hinge binding mode with hydrogen bonds at Ile408. Among the screened compounds (NCI300395, ChemDiv-8020–2508, and ChemDiv-7997–0024), three displayed "ADRH" pharmacophoric features like LIMKi3, with favorable ADMET properties, higher binding affinity, and significant hydrogen bond interactions at Ile408. LIMK2-inhibitor complexes showed lower RMSD than LIMK2-LIMKi3, indicating higher equilibrium by identified compounds. Protein-drug Complexes exhibited significant inter-domain correlation in N-lobe residues of LIMK2, including conserved β3, αC, and Hinge residues. Binding free energy analysis ranked LIMK2-NCI300395 highest, followed by LIMK2-ChemDiv-7997–0024 and LIMK2-ChemDiv-8020–2508, highlighting their potential as effective LIMK2-targeting compounds. Hence, this study emphasizes LIMKi3's significance and identifies potential candidates (NCI300395, ChemDiv-7997–0024, and ChemDiv-8020–2508) for developing cancer therapeutics targeting LIMK2. These findings open avenues for further investigations into the complex interplay between cytoskeletal dynamics and cancer progression.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
期刊最新文献
Decoding the link between microbial secondary metabolites and colorectal cancer Virtual screening of polyherbal compounds for AKT1 and HSPB1 inhibition in breast cancer apoptosis pathway Editorial Board Synergistic modeling of hemorrhagic dengue fever: Passive immunity dynamics and time-delay neural network analysis Knowledge graph applications and multi-relation learning for drug repurposing: A scoping review
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1