Pinilla C, Appel J R, Campbell G D, Buencamino J, Benkirane N, Muller S, Greenspan N S
Torrey Pines Institute for Molecular Studies, 3550 General Atomics Court, San Diego, CA, 92121, USA.
J Mol Biol. 1998 Nov 13;283(5):1013-25. doi: 10.1006/jmbi.1998.2137.
Monoclonal antibodies recognize antigens with high affinity and specificity, but the structural basis for molecular mimicry remains unclear. It is often assumed that cross-reactive antigens share some structural similarity that is specifically recognized by a monoclonal antibody. Recent studies using combinatorial libraries, which are composed of millions of sequences, have examined antibody cross-reactivity in a manner entirely different from traditional epitope mapping approaches. Here, peptide libraries were screened against an anti-carbohydrate monoclonal antibody for the identification of peptide mimics. Positional scanning libraries composed of all-l or all-d hexapeptides were screened for inhibition of monoclonal antibody HGAC 39.G3 binding to an antigen displaying N-acetyl-d-glucosamine (GlcNAc) residues on a polyrhamnose backbone. Inhibitory activity by mixtures from the all-d hexapeptide library was greater than the activity from the all-l libraries. The most active d-amino acid residues defined in each of the six positions of the library were selected to prepare 27 different individual hexapeptides. The sequence Ac-yryygl-NH2 was specifically recognized by mAb HGAC 39.G3 with a relative affinity of 300 nM when measured in a competitive binding assay. The contributions to overall specificity of the residues of the all-d peptide (Ac-yryygl-NH2) in binding to mAb HGAC 39.G3 were examined with a series of truncation, l and d-amino acid substitution, and retro analogs. Dimeric forms of the all-d peptide were recognized with tenfold to 100-fold greater affinities relative to the monomer. The all-d peptide was found to inhibit mAb HGAC 39.G3 binding to an anti-idiotype antibody with approximately 1000-fold greater affinity than GlcNAc. As demonstrated here, the study of immune recognition using combinatorial chemistry may offer new insights into the molecular basis of cross-reactivity.
单克隆抗体以高亲和力和特异性识别抗原,但分子模拟的结构基础仍不清楚。人们通常认为交叉反应性抗原具有一些结构相似性,能被单克隆抗体特异性识别。最近使用由数百万个序列组成的组合文库进行的研究,以一种与传统表位作图方法完全不同的方式检测了抗体的交叉反应性。在这里,针对一种抗碳水化合物单克隆抗体筛选肽文库,以鉴定肽模拟物。筛选由全L型或全D型六肽组成的位置扫描文库,以抑制单克隆抗体HGAC 39.G3与在聚鼠李糖主链上展示N-乙酰-D-葡萄糖胺(GlcNAc)残基的抗原的结合。来自全D型六肽文库的混合物的抑制活性大于来自全L型文库的活性。选择文库六个位置中每个位置定义的最具活性的D-氨基酸残基,制备27种不同的单个六肽。在竞争结合试验中测量时,序列Ac-yryygl-NH2被单克隆抗体HGAC 39.G3特异性识别,相对亲和力为300 nM。通过一系列截短、L型和D型氨基酸取代以及反向类似物,研究了全D型肽(Ac-yryygl-NH2)残基与单克隆抗体HGAC 39.G3结合时对整体特异性的贡献。相对于单体,全D型肽的二聚体形式被识别的亲和力高10倍至100倍。发现全D型肽抑制单克隆抗体HGAC 39.G3与抗独特型抗体的结合,其亲和力比GlcNAc大约高1000倍。如此处所示,使用组合化学研究免疫识别可能为交叉反应性的分子基础提供新的见解。