Targeting Anaplastic Lymphoma Kinase in Oncology: Identification and Computational Validation of Novel Inhibitors for Anaplastic Large Cell Lymphoma, Non-small Cell Lung Cancer, and Neuroblastoma.

IF 2.6 4区 医学 Q2 PHARMACOLOGY & PHARMACY
Aftab Alam, Mohammed H Alqarni, Indrakant K Singh, Ahmed I Foudah, Neeraj Upmanyu, Mohamed F Balaha
{"title":"Targeting Anaplastic Lymphoma Kinase in Oncology: Identification and Computational Validation of Novel Inhibitors for Anaplastic Large Cell Lymphoma, Non-small Cell Lung Cancer, and Neuroblastoma.","authors":"Aftab Alam, Mohammed H Alqarni, Indrakant K Singh, Ahmed I Foudah, Neeraj Upmanyu, Mohamed F Balaha","doi":"10.2174/0113816128342778250218105338","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Anaplastic Lymphoma Kinase (ALK) is implicated in several cancers, including anaplastic large cell lymphoma, non-small cell lung cancer, and neuroblastoma. Targeted inhibition of ALK represents a promising therapeutic strategy.</p><p><strong>Aims: </strong>This study aimed to identify and evaluate potential ALK inhibitors using virtual screening and computational analyses to determine their binding stability, affinity, and dynamic behavior, ultimately assessing their potential as therapeutic agents for ALK-driven cancers.</p><p><strong>Objective: </strong>The objective of this study was to identify potential ALK inhibitors using virtual screening techniques and to evaluate their binding affinities and stability through computational analyses.</p><p><strong>Methods: </strong>This study utilized virtual screening to identify potential ALK inhibitors from the MTiOpen Screen Diverse library and selected three compounds (24331480, 26536128, and 24353407) based on their binding affinities. These compounds underwent optimization using Density Functional Theory (DFT) and were redocked to confirm binding stability. Molecular dynamics simulations, hydrogen bond analysis, MM/PBSA calculations, and PCA-based free energy landscape analysis were also carried out.</p><p><strong>Results: </strong>The re-docking experiments confirmed the stable and strong binding affinities of the selected compounds to the ALK active site. Molecular dynamics simulations revealed stable interactions throughout the 200 ns simulation period. Hydrogen bond analysis demonstrated consistent hydrogen bonds between key residues and the inhibitors. MM/PBSA calculations indicated favorable binding free energies, suggesting strong binding affinities. Finally, PCA-based free energy landscape analysis highlighted energetically favorable binding modes.</p><p><strong>Conclusion: </strong>The identified compounds (24331480, 26536128, and 24353407) exhibited promising inhibitory potential against ALK. These findings warrant further experimental validation to confirm their potential as therapeutic agents for ALK-driven cancers.</p>","PeriodicalId":10845,"journal":{"name":"Current pharmaceutical design","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current pharmaceutical design","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2174/0113816128342778250218105338","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Anaplastic Lymphoma Kinase (ALK) is implicated in several cancers, including anaplastic large cell lymphoma, non-small cell lung cancer, and neuroblastoma. Targeted inhibition of ALK represents a promising therapeutic strategy.

Aims: This study aimed to identify and evaluate potential ALK inhibitors using virtual screening and computational analyses to determine their binding stability, affinity, and dynamic behavior, ultimately assessing their potential as therapeutic agents for ALK-driven cancers.

Objective: The objective of this study was to identify potential ALK inhibitors using virtual screening techniques and to evaluate their binding affinities and stability through computational analyses.

Methods: This study utilized virtual screening to identify potential ALK inhibitors from the MTiOpen Screen Diverse library and selected three compounds (24331480, 26536128, and 24353407) based on their binding affinities. These compounds underwent optimization using Density Functional Theory (DFT) and were redocked to confirm binding stability. Molecular dynamics simulations, hydrogen bond analysis, MM/PBSA calculations, and PCA-based free energy landscape analysis were also carried out.

Results: The re-docking experiments confirmed the stable and strong binding affinities of the selected compounds to the ALK active site. Molecular dynamics simulations revealed stable interactions throughout the 200 ns simulation period. Hydrogen bond analysis demonstrated consistent hydrogen bonds between key residues and the inhibitors. MM/PBSA calculations indicated favorable binding free energies, suggesting strong binding affinities. Finally, PCA-based free energy landscape analysis highlighted energetically favorable binding modes.

Conclusion: The identified compounds (24331480, 26536128, and 24353407) exhibited promising inhibitory potential against ALK. These findings warrant further experimental validation to confirm their potential as therapeutic agents for ALK-driven cancers.

肿瘤中靶向间变性淋巴瘤激酶:间变性大细胞淋巴瘤、非小细胞肺癌和神经母细胞瘤新抑制剂的鉴定和计算验证。
背景:无细胞淋巴瘤激酶(ALK)与多种癌症有关,包括无细胞大细胞淋巴瘤、非小细胞肺癌和神经母细胞瘤。目的:本研究旨在通过虚拟筛选和计算分析来确定和评估潜在的ALK抑制剂,以确定它们的结合稳定性、亲和力和动态行为,最终评估它们作为ALK驱动的癌症治疗药物的潜力:本研究的目的是利用虚拟筛选技术识别潜在的 ALK 抑制剂,并通过计算分析评估它们的结合亲和力和稳定性:本研究利用虚拟筛选技术从 MTiOpen Screen Diverse 文库中筛选出潜在的 ALK 抑制剂,并根据其结合亲和力筛选出三个化合物(24331480、26536128 和 24353407)。利用密度泛函理论(DFT)对这些化合物进行了优化,并进行了重新锁定以确认其结合稳定性。此外,还进行了分子动力学模拟、氢键分析、MM/PBSA 计算以及基于 PCA 的自由能景观分析:结果:重新对接实验证实了所选化合物与 ALK 活性位点稳定而强的结合亲和力。分子动力学模拟结果表明,在整个 200 ns 模拟期间都存在稳定的相互作用。氢键分析表明,关键残基与抑制剂之间存在一致的氢键。MM/PBSA 计算显示了良好的结合自由能,表明了很强的结合亲和力。最后,基于 PCA 的自由能景观分析强调了能量上有利的结合模式:鉴定出的化合物(24331480、26536128 和 24353407)对 ALK 具有良好的抑制潜力。这些发现需要进一步的实验验证,以确认它们作为 ALK 驱动的癌症治疗药物的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
6.30
自引率
0.00%
发文量
302
审稿时长
2 months
期刊介绍: Current Pharmaceutical Design publishes timely in-depth reviews and research articles from leading pharmaceutical researchers in the field, covering all aspects of current research in rational drug design. Each issue is devoted to a single major therapeutic area guest edited by an acknowledged authority in the field. Each thematic issue of Current Pharmaceutical Design covers all subject areas of major importance to modern drug design including: medicinal chemistry, pharmacology, drug targets and disease mechanism.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信