Barderas Rodrigo, Desmet Johan, Alard Philippe, Casal J Ignacio
Centro de Investigaviones Biológicas, Madrid, Spain.
Methods Mol Biol. 2012;907:463-86. doi: 10.1007/978-1-61779-974-7_27.
Rational engineering methods can be applied with success to optimize physicochemical characteristics of antibodies. Application of in silico analysis and prediction methods to antibody Fv regions can help to find residues affecting antibody-antigen affinity when high-resolution antibody structures or antibody-antigen complex structures are known. In these cases, the identification of residues affecting affinity can facilitate the selection of candidates for guided maturation by PCR using degenerate oligonucleotides. Here, we describe the utilization of a semi-rational approach to enhance the affinity of antibodies by combining in silico and traditional wet lab-based methods.
合理的工程方法能够成功应用于优化抗体的物理化学特性。当已知高分辨率抗体结构或抗体 - 抗原复合物结构时,将计算机分析和预测方法应用于抗体Fv区域有助于找到影响抗体 - 抗原亲和力的残基。在这些情况下,鉴定影响亲和力的残基能够促进使用简并寡核苷酸通过PCR进行定向成熟的候选物选择。在此,我们描述了一种半合理方法的应用,即通过结合计算机方法和传统的基于湿实验室的方法来提高抗体的亲和力。