Rationalization and design of the complementarity determining region sequences in an antibody-antigen recognition interface

Chung Ming Yu, Hung Pin Peng, Ing Chien Chen, Yu Ching Lee, Jun Bo Chen, Keng Chang Tsai, Ching Tai Chen, Jeng Yih Chang, Ei Wen Yang, Po Chiang Hsu, Jhih Wei Jian, Hung Ju Hsu, Hung Ju Chang, Wen Lian Hsu, Kai Fa Huang, Alex Che Ma, An Suei Yang

研究成果: 雜誌貢獻文章同行評審

33 引文 斯高帕斯(Scopus)

摘要

Protein-protein interactions are critical determinants in biological systems. Engineered proteins binding to specific areas on protein surfaces could lead to therapeutics or diagnostics for treating diseases in humans. But designing epitope-specific protein-protein interactions with computational atomistic interaction free energy remains a difficult challenge. Here we show that, with the antibody-VEGF (vascular endothelial growth factor) interaction as a model system, the experimentally observed amino acid preferences in the antibody-antigen interface can be rationalized with 3-dimensional distributions of interacting atoms derived from the database of protein structures. Machine learning models established on the rationalization can be generalized to design amino acid preferences in antibody-antigen interfaces, for which the experimental validations are tractable with current high throughput synthetic antibody display technologies. Leave-one-out cross validation on the benchmark system yielded the accuracy, precision, recall (sensitivity) and specificity of the overall binary predictions to be 0.69, 0.45, 0.63, and 0.71 respectively, and the overall Matthews correlation coefficient of the 20 amino acid types in the 24 interface CDR positions was 0.312. The structure-based computational antibody design methodology was further tested with other antibodies binding to VEGF. The results indicate that the methodology could provide alternatives to the current antibody technologies based on animal immune systems in engineering therapeutic and diagnostic antibodies against predetermined antigen epitopes.
原文英語
文章編號e33340
期刊PLoS One
7
發行號3
DOIs
出版狀態已發佈 - 三月 22 2012
對外發佈

ASJC Scopus subject areas

  • 農業與生物科學 (全部)
  • 生物化學、遺傳與分子生物學 (全部)
  • 醫藥 (全部)

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