Wang Ze, Ren Juan, Jin Nengzhi, Liu Xingyi, Li Xiaofei
Department of Pharmaceutical Sciences, Zunyi Medical University at Zhuhai Campus, Zhuhai, China.
Gansu Computing Center, Lanzhou, China.
Front Mol Biosci. 2020 Nov 5;7:586970. doi: 10.3389/fmolb.2020.586970. eCollection 2020.
Although it is known crocin, a hydrophilic compound from the herbal plant L., has promising antitumor activity, the detailed mechanism of its antitumor activity was not well understood. Recent experiments suggested tubulin as the primary target for the antitumor activity of crocin. However, due to a lack of crystal structure of tubulin bound with crocin, the exact binding mode and interaction between crocin and tubulin remains exclusive. In the present work, a computational study by integrating multiple conformation docking, molecular dynamics simulation as well as residue interaction network analysis was performed to investigate the molecular mechanism of crocin-tubulin interaction. By comparing the docking score, the most likely binding mode CRO_E1 were identified from 20 different binding modes of crocin in the vinca binding pockets. Further molecular dynamics simulation of CRO_E1 complex showed the binding of crocin is more stable than the inhibitor soblidotin and vinblastine. During the simulation course, an excessive number of hydrogen bonds were observed for the ligand crocin. The binding free energy of crocin-tubulin complex was calculated as -79.25 ± 7.24 kcal/mol, which is almost twice of the ligand soblidotin and vinblastine. By using energy decomposition, hot residues for CRO_E1 were identified as Gln, Gln, Thr, Ser, Pro-Lys-Val-Ser-Asp, Tyr, and Asn in the β-chain, and Asp, Ala-Leu, Val, Asn, and Ile in the α-chain. Residue interaction network analysis also showed the importance of these hot residues in the interaction network of crocin-tubulin complex. In addition, a common residue motif Val-Xxx-Asp was discovered for all three bindings, suggesting its importance in future drug design. The study could provide valuable insights into the interaction between crocin and tubulin, and give suggestive clues for further experimental studies.
尽管已知藏红花素(一种来自番红花属植物的亲水性化合物)具有良好的抗肿瘤活性,但其抗肿瘤活性的详细机制尚不清楚。最近的实验表明微管蛋白是藏红花素抗肿瘤活性的主要靶点。然而,由于缺乏藏红花素与微管蛋白结合的晶体结构,藏红花素与微管蛋白之间的确切结合模式和相互作用仍不清楚。在本研究中,通过整合多种构象对接、分子动力学模拟以及残基相互作用网络分析进行了一项计算研究,以探究藏红花素与微管蛋白相互作用的分子机制。通过比较对接分数,从藏红花素在长春花结合口袋中的20种不同结合模式中确定了最可能的结合模式CRO_E1。对CRO_E1复合物的进一步分子动力学模拟表明,藏红花素的结合比抑制剂索布替尼和长春碱更稳定。在模拟过程中,观察到配体藏红花素形成了大量氢键。藏红花素 - 微管蛋白复合物的结合自由能计算为 -79.25 ± 7.24 kcal/mol,几乎是配体索布替尼和长春碱的两倍。通过能量分解,确定CRO_E1的热点残基在β链中为Gln、Gln、Thr、Ser、Pro-Lys-Val-Ser-Asp、Tyr和Asn,在α链中为Asp、Ala-Leu、Val、Asn和Ile。残基相互作用网络分析也表明这些热点残基在藏红花素 - 微管蛋白复合物相互作用网络中的重要性。此外,发现所有三种结合都有一个共同的残基基序Val-Xxx-Asp,表明其在未来药物设计中的重要性。该研究可为藏红花素与微管蛋白之间的相互作用提供有价值的见解,并为进一步的实验研究提供提示线索。