Kalsoom Maria, Rehman Hafiz Muzzammel, Al-Qassab Yasamin, Rehman Hafiz Muhammad, Syed Rabbani, Ahmed Nadeem, Wu Yurong, Al-Qahtani Ahmed A, Nadeem Tariq, Bashir Hamid
Centre for Applied Molecular Biology (CAMB), University of the Punjab, 87-West Canal Bank Road, Lahore 53700, Punjab, Pakistan.
School of Biochemistry and Biotechnology, University of the Punjab, Allama Iqbal Road, Lahore 54590, Punjab, Pakistan.
Toxicol Res (Camb). 2025 May 24;14(3):tfaf060. doi: 10.1093/toxres/tfaf060. eCollection 2025 Jun.
Targeted therapy is one crucial therapeutic approach frequently employed in cancer treatment. In almost 30% of human breast cancers, a transmembrane tyrosine kinase receptor named the HER2 (human epidermal growth factor receptor 2) is overexpressed, establishing HER-2 as a promising target for cancer treatment. The goal of the current work is to computationally design and analyze a new chimeric protein that could selectively target HER2-positive breast cancer cells based on a single polypeptide chain variable fragment and leptulipin (an anticancer peptide) fusion. After the computational joining of the secondary structure, 3D modeling, quality validation, physicochemical properties, docking, interaction analysis, MD simulation, and energy calculations were performed using various computational tools and online servers. The most precise predicted chimeric protein model was docked to the HER-2 receptor using ClusPro 2.0, which revealed a significant number of hydrogen bonds and salt bridges reflecting the fusion protein's quality, validity, interaction, and stability. These results were further supported by MD simulation on the Desmond Schrodinger module, which predicted a stable docked complex. This was also evident by principal component analysis and the negative energy value of MM/PBSA. These comprehensive in silico analyses, coupled with a high predicted expression value of 0.94 in by the SOLUPROT, collectively highlight the potential of fusion protein as a potent therapeutic agent against breast cancer and open a potential avenue for targeted cancer therapy and provide a groundwork for in vitro and in vivo validation that might lead to clinical implication.
靶向治疗是癌症治疗中常用的一种关键治疗方法。在近30%的人类乳腺癌中,一种名为HER2(人表皮生长因子受体2)的跨膜酪氨酸激酶受体过度表达,这使得HER-2成为癌症治疗的一个有前景的靶点。当前工作的目标是通过计算设计并分析一种新的嵌合蛋白,该蛋白基于单链多肽可变片段和瘦素脂肽(一种抗癌肽)融合,能够选择性地靶向HER2阳性乳腺癌细胞。在对二级结构进行计算拼接后,使用各种计算工具和在线服务器进行了三维建模、质量验证、理化性质分析、对接、相互作用分析、分子动力学模拟和能量计算。使用ClusPro 2.0将预测最精确的嵌合蛋白模型与HER-2受体进行对接,结果显示存在大量氢键和盐桥,这反映了融合蛋白的质量、有效性、相互作用和稳定性。德斯蒙德薛定谔模块上的分子动力学模拟进一步支持了这些结果,该模拟预测了一个稳定的对接复合物。主成分分析和MM/PBSA的负能量值也证明了这一点。这些全面的计算机模拟分析,再加上SOLUPROT预测的0.94的高表达值,共同突出了融合蛋白作为一种有效的抗乳腺癌治疗剂的潜力,为靶向癌症治疗开辟了一条潜在途径,并为可能导致临床应用的体外和体内验证奠定了基础。