Pawar Krunal, Gupta Pramodkumar P, Solanki Pooran Singh, Niraj Ravi Ranjan Kumar, Kothari Shanker L
Amity Institute of Biotechnology, Amity University Rajasthan, SP-1, Kant Kalwar, RIICO Industrial Area, NH-11C, Jaipur 303002, Rajasthan, India.
School of Biotechnology and Bioinformatics, D Y Patil Deemed to be University, Plot 50, Sector 15, CBD Belapur, Navi Mumbai 400614, Maharashtra, India.
Curr Issues Mol Biol. 2025 Jan 20;47(1):67. doi: 10.3390/cimb47010067.
Colorectal cancer (CRC) is a complex and increasingly prevalent malignancy with significant challenges in its treatment and prognosis. This study aims to explore the role of the SLC4A4 transporter as a biomarker in CRC progression and its potential as a therapeutic target, particularly in relation to tumor acidity and immune response.
The study utilized computational approaches, including receptor-based virtual screening and high-throughput docking, to identify potential SLC4A4 inhibitors. A model of the human SLC4A4 structure was generated based on CryoEM data (PDB ID 6CAA), and drug candidates from the DrugBank database were evaluated using two computational tools (DrugRep and CB-DOCK2).
The study identified the compound (5R)-N-[(1r)-3-(4-hydroxyphenyl)butanoyl]-2-decanamide (DB07991) as the best ligand, demonstrating favorable binding affinity and stability. Molecular dynamics simulations revealed strong protein-ligand interactions with consistent RMSD (0.25 nm), RMSF (0.5 nm), compact Rg (4.0-3.9 nm), and stable SASA profiles, indicating that the SLC4A4 structure remains stable upon ligand binding.
The findings suggest that DB07991 is a promising drug candidate for further investigation as a therapeutic agent against CRC, particularly for targeting SLC4A4. This study highlights the potential of computational drug repositioning in identifying effective treatments for colorectal cancer.
结直肠癌(CRC)是一种复杂且日益普遍的恶性肿瘤,在其治疗和预后方面存在重大挑战。本研究旨在探讨溶质载体家族4成员4(SLC4A4)转运蛋白作为生物标志物在结直肠癌进展中的作用及其作为治疗靶点的潜力,特别是与肿瘤酸度和免疫反应相关的潜力。
该研究利用了计算方法,包括基于受体的虚拟筛选和高通量对接,以鉴定潜在的SLC4A4抑制剂。基于冷冻电镜数据(蛋白质数据银行ID 6CAA)生成了人类SLC4A4结构模型,并使用两种计算工具(DrugRep和CB-DOCK2)对药物银行数据库中的候选药物进行了评估。
该研究确定化合物(5R)-N-[(1r)-3-(4-羟基苯基)丁酰基]-2-癸酰胺(DB07991)为最佳配体,显示出良好的结合亲和力和稳定性。分子动力学模拟揭示了强烈的蛋白质-配体相互作用,均方根偏差(RMSD)一致(约0.25纳米),均方根波动(RMSF)约0.5纳米,紧密的回转半径(Rg)(4.0 - 3.9纳米),以及稳定的溶剂可及表面积(SASA)分布,表明SLC4A4结构在配体结合后保持稳定。
研究结果表明,DB07991作为一种抗结直肠癌的治疗药物具有进一步研究的潜力,特别是针对SLC4A4。本研究突出了计算药物重新定位在确定结直肠癌有效治疗方法方面的潜力。