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Prediction of Bone Implant Interface Based on a Molecular Level Interaction

机译:基于分子水平相互作用的骨植入界面预测

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Uncontrolled interactions between synthetic materials and human tissues are a major concern for implants and tissue engineering. It is well recognized that osteoblasts (bone cells) preferentially adhere to specific amino acid sequences such as arginine—glycine—aspartic acid (RGD) and heparin-sulphate ligand binding regions in adsorbed proteins. Accordingly, how specific amino acid sequences are exposed in adsorbed proteins to associate with binding to integrin receptors in cell membranes is critical to whether cell adhesion will occur on an implant surface. The abundance of positive binding sites to electron deficient sites of the protein molecules presents a strong case for adhesion of these cell adhesion li-gands on to a biomaterial surface. This paper reviews the study based on a molecular orbital interactive method for prediction of the biocompatibility of implants based on a pro- tein-biomaterial surface interaction.
机译:合成材料与人体组织之间的不受控制的相互作用是植入物和组织工程的主要关注点。很好地认识到,成骨细胞(骨细胞)优先粘附在吸附蛋白中的精致氨基酸序列,例如精氨酸 - 甘氨酸 - 天冬氨酸(RGD)和肝素 - 硫酸盐配体结合区域。因此,如何在吸附的蛋白质中暴露特定的氨基酸序列,以与细胞膜中的整联蛋白受体结合,这对于是否将在植入物表面上发生细胞粘附至关重要。蛋白质分子的电子缺陷位点的阳性结合位点的丰富性呈现强烈的情况下,这些细胞粘附Li-gand对生物材料表面的粘附性的壳体。本文介绍了基于分子轨道交互方法的研究,用于基于促进生物材料相互作用预测植入物的生物相容性。

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