Labrou N E
Laboratory of Enzyme Technology, Department of Agricultural Biotechnology, Agricultural University of Athens, 75 Iera Odos Street, GR-11855, Athens, Greece.
J Chromatogr B Analyt Technol Biomed Life Sci. 2003 Jun 25;790(1-2):67-78. doi: 10.1016/s1570-0232(03)00098-9.
Affinity chromatography is potentially the most selective method for protein purification. The technique has the purification power to eliminate steps, increase yields and thereby improve process economics. However, it suffers from problems regarding ligand stability and cost. Some of the most recent advances in this area have explored the power of rational and combinatorial approaches for designing highly selective and stable synthetic affinity ligands. Rational molecular design techniques, which are based on the ability to combine knowledge of protein structures with defined chemical synthesis and advanced computational tools, have made rational ligand design feasible and faster. Combinatorial approaches based on peptide and nucleic acid libraries have permitted the rapid synthesis of new synthetic affinity ligands of potential use in affinity chromatography. The versatility of these approaches suggests that, in the near future, they will become the dominant methods for designing and selection of novel affinity ligands with scale-up potential.
亲和色谱法可能是蛋白质纯化最具选择性的方法。该技术具有强大的纯化能力,能够省去一些步骤、提高产量,从而改善工艺经济性。然而,它存在配体稳定性和成本方面的问题。该领域一些最新进展探索了合理设计和组合方法在设计高选择性和稳定的合成亲和配体方面的作用。基于将蛋白质结构知识与特定化学合成及先进计算工具相结合能力的合理分子设计技术,使合理配体设计变得可行且更快。基于肽和核酸文库的组合方法能够快速合成在亲和色谱中可能有用的新型合成亲和配体。这些方法的多功能性表明,在不久的将来,它们将成为设计和筛选具有放大潜力的新型亲和配体的主导方法。