预约演示
更新于：2025-12-23
Shandong Taibang Biological Products Co. Ltd.
更新于：2025-12-23
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CTR20252697
评价静注人免疫球蛋白治疗原发免疫性血小板减少症（ITP）的有效性和安全性的开放、单臂、多中心Ⅲ期临床试验
CTR20232591
评价人抗凝血酶Ⅲ预防先天性抗凝血酶Ⅲ缺乏症患者在高危情况下静脉血栓形成的单臂、开放、多中心临床试验
CTR20231335
评价人凝血因子Ⅸ在中重型血友病B（因子Ⅸ缺乏症）患者中单次给药后的安全性和药代动力学特征的单臂、开放、单中心临床试验
100 项与 山东泰邦生物制品有限公司 相关的临床结果
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2025-10-13Journal of Chemical Information and Modeling
The “Carpet-like” Mechanism of NaD1 on Candida albicans Cell Membranes at Low NaD1/Lipid Ratios Revealed by Molecular Dynamics Simulations
Article
作者: Zhao, Yueru ; Sun, Ximeng ; Fang, Zhixuan ; Yuan, Mengmeng ; Yu, Hua
NaD1, a plant defensin isolated from the flowers of Nicotiana alata, is a cationic antimicrobial peptide (CAP) that displays potent antifungal activity against a variety of pathogenic fungi and tumor cells by attacking cell membranes. Specific interactions between NaD1 and phosphatidylinositol 4,5-bisphosphate (PI(4,5)P2), as well as NaD1 and phosphatidic acid (PA), have been revealed to trigger the assembly of NaD1-lipid oligomers that damage cell membranes. In this study, to comprehensively understand NaD1's interactions with diverse membrane phospholipids and their collective impact on membrane architecture, coarse-grained (CG) self-assembly molecular dynamics (MD) simulations and all-atom MD simulations were conducted to investigate interactions of NaD1 oligomeric states (monomer, dimer, and tetramer) with a Candida albicans membrane model containing physiological phospholipid compositions (POPC/POPE/POPI/POPS/POPG/POPA/DPP2 = 40:27:18:7:1:6:1 molar ratio) using GROMACS with Martini and charmm36m force fields. The results showed that phospholipids spontaneously formed bilayer structures with the NaD1 oligomer bound to their surfaces. The NaD1 monomer adopted two distinct binding orientations on the membrane, whereas both the dimer and tetramer adopted a single identical orientation. NaD1 exhibited strongest interfacial binding to DPP2 (model PIP2) and POPI, moderate affinity for POPE/POPC/POPS/POPA, and negligible interaction with POPG. Further calculation showed interface phospholipid redistribution following NaD1 binding, which featured increased DPP2/POPI/POPA and decreased POPC/POPE/POPS/total phospholipids versus NaD1-free membranes, quantitatively showing the perturbation of NaD1 on the membrane structure, together with the membrane thickness reduction and area per lipid (APL) increase (from monomer system, dimer system, to tetramer system) revealed by fundamental bilayer property analysis. These results revealed the "carpet-like" mechanism of NaD1 on C. albicans cell membranes at low NaD1/lipid ratios. In addition, this study also revealed the key binding sites of DPP2 (Lys4, His33, Ser35-Leu38, and Arg40, reproducing the hydrogen-bond network in the crystal structure), the contribution of POPI (besides DPP2) to NaD1 dimerization, and the role of POPE and POPS (besides POPA) in promoting "side-by-side" NaD1 tetramer formation. The spontaneous formation of NaD1 "head-to-head" tetramers was observed for the first time, providing new insights into the process of NaD1 "carpet-like" structure formation. Overall, the molecular details in this study provide us a better understanding of the "carpet-like" model of the NaD1 antimicrobial mechanism.
2019-05-01SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
Data mean and ratio of absorbance to concentration methods: A novel optimization strategy for near infrared spectroscopy modeling
Article
作者: Cao, Dawei ; Li, Lian ; Du, Ranran ; Li, Wei ; Sun, Zhongyu ; Quan, Shuang ; Nie, Lei ; Zang, Hengchang ; Wang, Jiayue ; Wang, Haiyan ; Liu, Ruichen
For the modeling of near infrared spectroscopy (NIRS), the accuracy of the basic data, the stability of the spectra and the optimality of variables selection method were the important factors. In this paper, a novel optimization strategy for NIRS modeling was proposed, which was formed by data mean and ratio of absorbance to concentration (RATC) methods. The data mean method was aim to obtain accurate basic data and stable spectra, the RATC method was aim to select the optimal variables and compared with other variables selection methods (FiPLS, BiPLS, CC, UVE). The experimental subject was raw human plasma, with this novel optimization strategy, the predictive capability of NIRS model of its total protein (TP) content had been improved. At the same time, the public NIRS testing data (water, protein, oil, starch of corn and octane of gasoline) were used to verify the proposed variables selection method, and the predictive capability of these models of different parameters were also improved. To some extent, the optimization strategy of NIRS modeling provided theoretical supports for the development of protein content analyzer of NIRS and the quick determination of parameters of biologics and other materials.
2018-05-01Journal of Innovative Optical Health Sciences
pH value monitoring during human albumin purification with near infrared spectroscopy and chemometrics
作者: Wang, Fei ; Li, Lian ; Sun, Qiaofeng ; Nie, Lei ; Wang, Jiayue ; Sun, Zhongyu ; Liu, Ronghua ; Wang, Mingyu ; Zang, Hengchang
Human albumin (HA) is a very important blood product which requires strict quality control strategy. Acid precipitation is a key step which has a great effect on the quality of final product. Therefore, a new method based on quality by design (QbD) was proposed to investigate the feasibility of realizing online quality control with the help of near infrared spectroscopy (NIRS) and chemometrics. The pH value is the critical process parameter (CPP) in acid precipitation process, which is used as the end-point indicator. Six batches, a total of 74 samples of acid precipitation process, were simulated in our lab. Four batches were selected randomly as calibration set and remaining two batches as validation set. Then, the analysis based on material information and three different variable selection methods, including interval partial least squares regression (iPLS), competitive adaptive reweighted sampling (CARS) and correlation coefficient (CC) were compared for eliminating irrelevant variables. Finally, iPLS was used for variables selection. The quantitative model was built up by partial least squares regression (PLSR). The values of determination coefficients ([Formula: see text] and [Formula: see text]), root mean squares error of prediction (RMSEP), root mean squares error of calibration (RMSEC) and root mean squared error of cross validation (RMSECV) were 0.969, 0.953, 0.0496, 0.0695 and 0.0826, respectively. The paired [Formula: see text] test and repeatability test showed that the model had good prediction ability and stability. The results indicated that PLSR model could give accurate measurement of the pH value.
100 项与 山东泰邦生物制品有限公司 相关的药物交易
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