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CoMSIA
Molecular Informatics · 2017 ·Vol. 36 ·期 9 ·1600157 · IF 1.955

Studies on the Bioactivities of ACE-inhibitory Peptides with Phenylalanine C-terminus Using 3D-QSAR, Molecular Docking and in vitro Evaluation

Chunyan Qi,Guimei Lin,Rong Zhang,Wenjuan Wu

Graphical 3D-QSAR, molecular docking and activity evaluation were used to study the bioactivities of ACE-inhibitory peptides with phenylalanine C-terminus. Both CoMFA ( Q 2 =0.773, R 2 =0.992) and CoMSIA ( Q 2 =0.664, R 2 =0.990) models were constructed. According to the established models, four novel potent ACE-inhibitory tripeptides GEF, VEF, VRF, and VKF were synthesized. The IC 50 values were respectively determined to be 13 μM, 23 μM, 5 μM, and 11 μM by in vitro evaluation. The results show good agreement with the predicted values. The established models play an important role in revealing the structure-activity relationship of ACE-inhibitory peptides and designing novel peptides with enhanced biological activity.

CAS / MDL: 495-69-2
研究领域: 药理学 · 生物化学 · 计算化学
✓ 已验证 产品关联 DOI PubMed 高影响因子
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FOOD RESEARCH INTERNATIONAL · 2021 · IF 6.475

Accurate prediction for adsorption rate of peptides with high ACE-inhibitory activity from sericin hydrolysate on thiophene hypercross-linked polymer using CoMSIA in 3D-QSAR model

Shan Shao,Huaju Sun,Yaseen Muhammad,Hong Huang,Ruimeng Wang,Shuangxi Nie,Meiyun Huang,Ziyi Zhao,Zhongxing Zhao

Efficient screening of angiotensin converting enzyme inhibitory (ACE-I) peptides from agricultural or edible sources attract increasing attention. However, their purification process from the complex natural system is still semi-empirical or even uncontrollable, which has seriously reduced their screening efficiency. Herein, inspired by the prediction of ACE-I activity, 3D-QSAR was proposed to predict the adsorption performance of peptides from sericin hydrolysate (SH) having high ACE-I activity on porous hypercross-linked polymers according to their molecular structures. Thiophene hypercross-linked polymer (T-HCP) possessing better screening capacity for ACE-I peptides was chosen as our research object in this work. The sequence and relative adsorption rate of 101 peptides in SH were analyzed by LC-MS and was used as a database to construct the relationship of peptide’s chemical structure and adsorption performance on T-HCP by Comparative molecular similarity indices analysis (CoMSIA) from 3D-QSAR. Optimum CoMSIA revealed that enhanced interaction of hydrophobicity and H-bond between T-HCP and the peptide was conducive to increase the adsorption performance of di- to hexa- peptides. Based on these relationships, the adsorption capability of 24 designed peptides with distinguished hydrophobic and H-bond fields was predicted on T-HCP by using optimum CoMSIA and the results of half of these were verified, which showed high consistency with their predicted adsorption rate. Interestingly, these peptides having higher adsorption capacities on T-HCP also possessed higher ACE-I activity. This can be attributed to the high concentration of aromatic surface with π-π interaction and weak-polar C S C group with H-bond interaction on T-HCP material, which is ideal for the selective adsorption of peptides with higher ACE-I activity from SH. This study provides important theoretical guidance for the industrial screening of bio-functional peptides from complex protein mixtures.

研究领域: 生物化学 · 食品科学 · 药物开发
✓ 已验证 DOI PubMed 高影响因子
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