6GC2

AbLIFT: Antibody stability and affinity optimization by computational design of the variable light-heavy chain interface

6GC2 の概要

• エントリーDOI: 10.2210/pdb6gc2/pdb
• 分子名称: Light Chain, Heavy chain (3 entities in total)
• 機能のキーワード: antibody, immune system
• 由来する生物種: Homo sapiens (human); 詳細
• タンパク質・核酸の鎖数: 2
• 化学式量合計: 51742.77

構造登録者

Warszawski, S.,Katz, A.,Khmelnitsky, L.,Ben Nissan, G.,Javitt, G.,Dym, O.,Unger, T.,Knop, O.,Diskin, R.,Albeck, S.,Fass, D.,Sharon, M.,Fleishman, S.J. (登録日: 2018-04-17, 公開日: 2019-05-01, 最終更新日: 2024-10-09)

主引用文献

Warszawski, S.,Katz, A.B.,Lipsh, R.,Khmelnitsky, L.,Ben Nissan, G.,Javitt, G.,Dym, O.,Unger, T.,Knop, O.,Albeck, S.,Diskin, R.,Fass, D.,Sharon, M.,Fleishman, S.J.
Optimizing antibody affinity and stability by the automated design of the variable light-heavy chain interfaces.
Plos Comput.Biol., 15:e1007207-e1007207, 2019

PubMed Abstract: Antibodies developed for research and clinical applications may exhibit suboptimal stability, expressibility, or affinity. Existing optimization strategies focus on surface mutations, whereas natural affinity maturation also introduces mutations in the antibody core, simultaneously improving stability and affinity. To systematically map the mutational tolerance of an antibody variable fragment (Fv), we performed yeast display and applied deep mutational scanning to an anti-lysozyme antibody and found that many of the affinity-enhancing mutations clustered at the variable light-heavy chain interface, within the antibody core. Rosetta design combined enhancing mutations, yielding a variant with tenfold higher affinity and substantially improved stability. To make this approach broadly accessible, we developed AbLIFT, an automated web server that designs multipoint core mutations to improve contacts between specific Fv light and heavy chains (http://AbLIFT.weizmann.ac.il). We applied AbLIFT to two unrelated antibodies targeting the human antigens VEGF and QSOX1. Strikingly, the designs improved stability, affinity, and expression yields. The results provide proof-of-principle for bypassing laborious cycles of antibody engineering through automated computational affinity and stability design.

PubMed: 31442220
DOI: 10.1371/journal.pcbi.1007207

実験手法

X-RAY DIFFRACTION (2.55 Å)