Divakar Anjusha, Kandasamy Nagachandran, Varghese Remmiya Mary, Jeyachandran Sivakamavalli, Thomas Lincy Rachel
Department of Orthodontics and Dentofacial Orthopaedics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India.
J Orthod Sci. 2025 Mar 25;14:11. doi: 10.4103/jos.jos_89_24. eCollection 2025.
Temporomandibular joint (TMJ) disorder refers to a condition involving dysfunction or pain in the jaw joint and the muscles that control jaw movement. It can affect one or both sides of the jaw and can cause various symptoms, including Jaw pain or tenderness; Difficulty or discomfort when chewing; Clicking, popping, or grating sounds in the jaw joint; Jaw locking or limited movement; Earache or pain around the ear; Headaches or migraines; Neck and shoulder pain; Swelling on the side of the face. TMJ disorder can have various causes, including injury to the jaw joint, teeth grinding or clenching (bruxism), arthritis, stress, misalignment of the jaw or teeth, and excessive gum chewing. Computer-aided drug design (CADD) comprises a range of theoretical and computational strategies employed in contemporary drug discovery. Molecular docking stands out as a key technique within CADD, aiding in the comprehension of drug-molecule interactions for rational drug design, mechanistic investigations, and the creation of stable complexes with heightened specificity and potential effectiveness. Through the docking process, valuable information regarding binding energy, free energy, and predictions of complex stability is obtained, offering significant insights into drug development endeavors.
The objective of this research was to employ docking methodology to identify potential ADAMTS-5 protein for TMJ. Four ADAMTS-5 protein inhibitors previously reported in the literature were selected, and their compound structures were obtained from the Zinc15 database. The ADAMTS-5 protein was designated as the target and optimized utilizing the RCSB Protein Data Bank. Following pharmacophore modeling, 20 novel compounds were identified, and SwissDock was utilized to dock these compounds with the target protein. A comparison was made between the binding energies of the newly discovered compounds and those of previously published molecules with the target.
The results indicated that among the 20 ZINC1846088 and ZINC33606904 exhibited the highest binding energy and displayed superior properties compared to the other molecules.
The study concluded that ZINC1846088 and ZINC33606904 exhibited greater binding affinity than the reported inhibitors of ADAMTS-5 protein. Therefore, these two molecules can be used as a potential and promising lead for the treatment of TMJ and could be employed in targeted drug therapy.
Dentistry, TMJ.
颞下颌关节(TMJ)紊乱是指涉及下颌关节及控制下颌运动的肌肉功能障碍或疼痛的一种病症。它可影响一侧或双侧下颌,会引发多种症状,包括下颌疼痛或压痛;咀嚼时困难或不适;下颌关节出现咔嗒声、爆裂声或摩擦声;下颌锁定或活动受限;耳痛或耳部周围疼痛;头痛或偏头痛;颈部和肩部疼痛;面部一侧肿胀。颞下颌关节紊乱可有多种病因,包括下颌关节损伤、磨牙或紧咬牙(磨牙症)、关节炎、压力、下颌或牙齿排列不齐以及过度咀嚼口香糖。计算机辅助药物设计(CADD)包含当代药物研发中采用的一系列理论和计算策略。分子对接是计算机辅助药物设计中的一项关键技术,有助于理解药物 - 分子相互作用,以进行合理的药物设计、机理研究以及创建具有更高特异性和潜在有效性的稳定复合物。通过对接过程,可获得有关结合能、自由能以及复合物稳定性预测的有价值信息,为药物研发工作提供重要见解。
本研究的目的是采用对接方法来识别针对颞下颌关节的潜在含血小板解聚蛋白样金属蛋白酶 - 5(ADAMTS - 5)蛋白。选择了先前文献中报道的四种ADAMTS - 5蛋白抑制剂,并从Zinc15数据库获取其化合物结构。将ADAMTS - 5蛋白指定为靶点,并利用RCSB蛋白质数据库进行优化。经过药效团建模后,鉴定出20种新型化合物,并利用SwissDock将这些化合物与靶点蛋白进行对接。对新发现化合物与先前发表的分子和靶点的结合能进行了比较。
结果表明,在这20种化合物中,ZINC1846088和ZINC33606904表现出最高的结合能,且与其他分子相比具有更优的性质。
该研究得出结论,ZINC1846088和ZINC33606904表现出比已报道的ADAMTS - 5蛋白抑制剂更高的结合亲和力。因此,这两种分子可作为治疗颞下颌关节紊乱的潜在且有前景的先导物,并可用于靶向药物治疗。
牙科,颞下颌关节