Jeevanandam Jaison, Tan Kei Xian, Danquah Michael Kobina, Guo Haobo, Turgeson Andrew
Department of Chemical Engineering, Faculty of Engineering and Science, Curtin University, Miri, Sarawak, 98009, Malaysia.
School of Materials Science & Engineering, Nanyang Technological University, Singapore, 639798.
Biotechnol J. 2020 Mar;15(3):e1900368. doi: 10.1002/biot.201900368. Epub 2020 Jan 7.
Theranostics cover emerging technologies for cell biomarking for disease diagnosis and targeted introduction of drug ingredients to specific malignant sites. Theranostics development has become a significant biomedical research endeavor for effective diagnosis and treatment of diseases, especially cancer. An efficient biomarking and targeted delivery strategy for theranostic applications requires effective molecular coupling of binding ligands with high affinities to specific receptors on the cancer cell surface. Bioaffinity offers a unique mechanism to bind specific target and receptor molecules from a range of non-targets. The binding efficacy depends on the specificity of the affinity ligand toward the target molecule even at low concentrations. Aptamers are fragments of genetic materials, peptides, or oligonucleotides which possess enhanced specificity in targeting desired cell surface receptor molecules. Aptamer-target binding results from several inter-molecular interactions including hydrogen bond formation, aromatic stacking of flat moieties, hydrophobic interaction, electrostatic, and van der Waals interactions. Advancements in Systematic Evolution of Ligands by Exponential Enrichment (SELEX) assay has created the opportunity to artificially generate aptamers that specifically bind to desired cancer and tumor surface receptors with high affinities. This article discusses the potential application of molecular dynamics (MD) simulation to advance aptamer-mediated receptor targeting in targeted cancer therapy. MD simulation offers real-time analysis of the molecular drivers of the aptamer-receptor binding and generate optimal receptor binding conditions for theranostic applications. The article also provides an overview of different cancer types with focus on receptor biomarking and targeted treatment approaches, conventional molecular probes, and aptamers that have been explored for cancer cells targeting.
治疗诊断学涵盖用于细胞生物标志物检测以进行疾病诊断以及将药物成分靶向导入特定恶性部位的新兴技术。治疗诊断学的发展已成为一项重要的生物医学研究工作,旨在实现疾病尤其是癌症的有效诊断和治疗。一种用于治疗诊断应用的高效生物标志物检测和靶向递送策略需要将具有高亲和力的结合配体与癌细胞表面的特定受体进行有效的分子偶联。生物亲和力提供了一种独特的机制,可从一系列非靶标中结合特定的靶标和受体分子。即使在低浓度下,结合效力也取决于亲和配体对靶标分子的特异性。适体是遗传物质、肽或寡核苷酸的片段,它们在靶向所需细胞表面受体分子方面具有增强的特异性。适体与靶标的结合是由多种分子间相互作用导致的,包括氢键形成、扁平部分的芳香堆积、疏水相互作用、静电作用和范德华相互作用。指数富集配体系统进化(SELEX)测定法的进展创造了人工生成适体的机会,这些适体能够以高亲和力特异性结合所需的癌症和肿瘤表面受体。本文讨论了分子动力学(MD)模拟在推进适体介导的受体靶向用于靶向癌症治疗中的潜在应用。MD模拟提供了对适体 - 受体结合的分子驱动因素的实时分析,并为治疗诊断应用生成最佳的受体结合条件。本文还概述了不同类型的癌症,重点关注受体生物标志物检测和靶向治疗方法、传统分子探针以及已被探索用于靶向癌细胞的适体。