Rawsterne Rachel E, Todd Simon J, Gough Julie E, Farrar David, Rutten Frank J M, Alexander Morgan R, Ulijn Rein V
School of Materials, The University of Manchester, Grosvenor Street, Manchester M1 7HS, UK.
Acta Biomater. 2007 Sep;3(5):715-21. doi: 10.1016/j.actbio.2007.02.006. Epub 2007 Apr 19.
The interactions of cells with synthetic surfaces are a critical factor in biomaterials design and it would be invaluable if these interactions could be precisely controlled and predicted. Hydrophobicity or lipophilicity of the surface is commonly used to rationalize cell attachment to materials. In the pharmaceutical sciences it is common practice to use logP, the partitioning coefficient between water and octanol, as a reliable indicator of the hydrophobicity or lipophilicity of (drug) molecules. A number of methods are available to reliably predict logP values directly from molecular structure. In this paper we demonstrate that logP values calculated on the basis of the molecular structure of a range of surface-tethered groups correlate well with cell spreading. To our knowledge this is the first method to predict cell spreading on chemically modified surfaces via nonspecific interactions.
细胞与合成表面的相互作用是生物材料设计中的关键因素，如果能够精确控制和预测这些相互作用，将非常有价值。表面的疏水性或亲脂性通常用于解释细胞与材料的附着。在制药科学中，常用水和辛醇之间的分配系数logP作为（药物）分子疏水性或亲脂性的可靠指标。有多种方法可直接从分子结构可靠地预测logP值。在本文中，我们证明基于一系列表面连接基团的分子结构计算出的logP值与细胞铺展密切相关。据我们所知，这是第一种通过非特异性相互作用预测细胞在化学修饰表面上铺展的方法。
