{"title":"PD-L1-In-1在肿瘤免疫治疗中的密度泛函理论研究","authors":"Bijay Sijapati Magar, Kiran Pudasainee, Prakash Pandey, Mahesh Kumar Neupane, Rupak Raj Lamichhane, Basanta Gurung, Khagendra Tripathi, Binod Adhikari","doi":"10.1038/s41598-025-92180-9","DOIUrl":null,"url":null,"abstract":"<p><p>This study presents a comprehensive theoretical analysis of PD-L1-In-1 (C<sub>21</sub>H<sub>23</sub>N<sub>5</sub>O<sub>2</sub>) using the B3LYP functional with the 6-311G(d) basis set, focusing on its structural, electronic, and spectroscopic properties. Fourier Transform Infrared (FT-IR), Raman, and UV-Vis spectra were simulated, and vibrational modes were assigned via potential energy distribution (PED) analysis using the VEDA 4 program. Natural Bond Orbital (NBO) analysis revealed hyperconjugative interactions (E<sup>2</sup>) and provided insights into donor-acceptor electron densities. The energy band gap was obtained from HOMO-LUMO calculations and further analyzed through the density of states (DOS) spectrum. Electron Localization Function (ELF) and Localized Orbital Locator (LOL) analyses, performed using Multiwfn, highlighted regions of electron localization and orbital overlap. Reduced Density Gradient (RDG) analysis uncovered non-covalent interactions. Ground-state <sup>1</sup>H and <sup>13</sup>C NMR chemical shifts were predicted using the Gauge-Independent Atomic Orbital (GIAO) method. Fukui function analysis identified reactive sites and evaluated the chemical reactivity of the molecule. Molecular docking studies using AutoDock Vina explored interactions between PD-L1-In-1 and the PD-L1 checkpoint protein, shedding light on its potential biological activity. Notably, the simulations indicated strong ligand-protein interactions, positioning PD-L1-In-1 as a promising candidate for cancer immunotherapy targeting the PD-1/PD-L1 pathway.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"30476"},"PeriodicalIF":3.9000,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12365063/pdf/","citationCount":"0","resultStr":"{\"title\":\"Theoretical investigation on PD-L1-In-1 for cancer immunotherapy via density functional theory.\",\"authors\":\"Bijay Sijapati Magar, Kiran Pudasainee, Prakash Pandey, Mahesh Kumar Neupane, Rupak Raj Lamichhane, Basanta Gurung, Khagendra Tripathi, Binod Adhikari\",\"doi\":\"10.1038/s41598-025-92180-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study presents a comprehensive theoretical analysis of PD-L1-In-1 (C<sub>21</sub>H<sub>23</sub>N<sub>5</sub>O<sub>2</sub>) using the B3LYP functional with the 6-311G(d) basis set, focusing on its structural, electronic, and spectroscopic properties. Fourier Transform Infrared (FT-IR), Raman, and UV-Vis spectra were simulated, and vibrational modes were assigned via potential energy distribution (PED) analysis using the VEDA 4 program. Natural Bond Orbital (NBO) analysis revealed hyperconjugative interactions (E<sup>2</sup>) and provided insights into donor-acceptor electron densities. The energy band gap was obtained from HOMO-LUMO calculations and further analyzed through the density of states (DOS) spectrum. Electron Localization Function (ELF) and Localized Orbital Locator (LOL) analyses, performed using Multiwfn, highlighted regions of electron localization and orbital overlap. Reduced Density Gradient (RDG) analysis uncovered non-covalent interactions. Ground-state <sup>1</sup>H and <sup>13</sup>C NMR chemical shifts were predicted using the Gauge-Independent Atomic Orbital (GIAO) method. Fukui function analysis identified reactive sites and evaluated the chemical reactivity of the molecule. Molecular docking studies using AutoDock Vina explored interactions between PD-L1-In-1 and the PD-L1 checkpoint protein, shedding light on its potential biological activity. Notably, the simulations indicated strong ligand-protein interactions, positioning PD-L1-In-1 as a promising candidate for cancer immunotherapy targeting the PD-1/PD-L1 pathway.</p>\",\"PeriodicalId\":21811,\"journal\":{\"name\":\"Scientific Reports\",\"volume\":\"15 1\",\"pages\":\"30476\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12365063/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Reports\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1038/s41598-025-92180-9\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Reports","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41598-025-92180-9","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
本研究利用6-311G(d)基集的B3LYP泛函对PD-L1-In-1 (C21H23N5O2)进行了全面的理论分析,重点研究了其结构、电子和光谱性质。模拟了傅里叶变换红外光谱(FT-IR)、拉曼光谱(Raman)和紫外可见光谱(UV-Vis),并利用VEDA 4程序通过势能分布(PED)分析确定了振动模式。自然键轨道(NBO)分析揭示了超共轭相互作用(E2),并提供了对供体-受体电子密度的见解。通过HOMO-LUMO计算得到能带隙,并通过态密度(DOS)谱进一步分析。利用Multiwfn进行的电子定位函数(ELF)和定位轨道定位器(LOL)分析突出了电子定位和轨道重叠区域。降低密度梯度(RDG)分析揭示了非共价相互作用。利用非量规原子轨道(GIAO)方法预测了基态1H和13C核磁共振化学位移。福井功能分析确定了反应位点并评价了分子的化学反应性。使用AutoDock Vina进行分子对接研究,探索PD-L1- in -1与PD-L1检查点蛋白之间的相互作用,揭示其潜在的生物活性。值得注意的是,模拟显示了强的配体-蛋白相互作用,将PD-L1- in -1定位为针对PD-1/PD-L1途径的癌症免疫治疗的有希望的候选者。
Theoretical investigation on PD-L1-In-1 for cancer immunotherapy via density functional theory.
This study presents a comprehensive theoretical analysis of PD-L1-In-1 (C21H23N5O2) using the B3LYP functional with the 6-311G(d) basis set, focusing on its structural, electronic, and spectroscopic properties. Fourier Transform Infrared (FT-IR), Raman, and UV-Vis spectra were simulated, and vibrational modes were assigned via potential energy distribution (PED) analysis using the VEDA 4 program. Natural Bond Orbital (NBO) analysis revealed hyperconjugative interactions (E2) and provided insights into donor-acceptor electron densities. The energy band gap was obtained from HOMO-LUMO calculations and further analyzed through the density of states (DOS) spectrum. Electron Localization Function (ELF) and Localized Orbital Locator (LOL) analyses, performed using Multiwfn, highlighted regions of electron localization and orbital overlap. Reduced Density Gradient (RDG) analysis uncovered non-covalent interactions. Ground-state 1H and 13C NMR chemical shifts were predicted using the Gauge-Independent Atomic Orbital (GIAO) method. Fukui function analysis identified reactive sites and evaluated the chemical reactivity of the molecule. Molecular docking studies using AutoDock Vina explored interactions between PD-L1-In-1 and the PD-L1 checkpoint protein, shedding light on its potential biological activity. Notably, the simulations indicated strong ligand-protein interactions, positioning PD-L1-In-1 as a promising candidate for cancer immunotherapy targeting the PD-1/PD-L1 pathway.
期刊介绍:
We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections.
Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021).
•Engineering
Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live.
•Physical sciences
Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics.
•Earth and environmental sciences
Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems.
•Biological sciences
Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants.
•Health sciences
The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.