Serizawa Takeshi, Sawada Toshiki, Matsuno Hisao
Research Center for Advanced Science and Technology (RCAST), The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan.
Langmuir. 2007 Oct 23;23(22):11127-33. doi: 10.1021/la701822n. Epub 2007 Oct 2.
We investigated polymer-binding 7-mer peptides that recognize differences in the polymer stereoregularity of all-purpose poly(methyl methacrylate)s (PMMAs) with simple chemical structures. Quantitative surface plasmon resonance measurements detected association/dissociation processes of the peptides against PMMA film surfaces, followed by an estimation of kinetic parameters such as association/dissociation rate constants and affinity constants. Greater association and smaller dissociation constants of the peptides were observed against a target isotactic PMMA than the structurally similar reference syndiotactic PMMA, followed by greater affinity constants against the target. A c02 peptide composed of the Glu-Leu-Trp-Arg-Pro-Thr-Arg sequence showed the greatest affinity constant (2.8x10(5) M(-1)) for the target, which was 41-fold greater than that for the reference, thus demonstrating extremely high peptide specificities. The substitution of each amino acid of the c02 peptide to Ala (Ala scanning) clearly revealed the essential amino acids for the affinity constants; the essential order was Pro5>>Thr6>Arg7>Glu1>Arg4. In fact, the shorter 4-mer peptide composed of the C-terminal Arg-Pro-Thr-Arg sequence of the c02 peptide still demonstrated strong target specificity, although the N-terminal 4-mer peptide Glu-Leu-Trp-Arg completely lost its specificity. The possible conformations modeled with Molecular Mechanics supported the significance of the Arg-Pro-Thr-Arg sequence. The thermodynamic parameters of the c02 peptide suggested an induced fit mechanism for the specific affinity. The present affinity analyses of polymer-recognizing peptides revealed significant and general information that was essential for potential applications in peptidyl nanomaterials.
我们研究了聚合物结合型七聚体肽,这些肽能够识别具有简单化学结构的通用聚甲基丙烯酸甲酯(PMMA)的聚合物立构规整性差异。通过定量表面等离子体共振测量检测肽与PMMA薄膜表面的结合/解离过程,随后估算结合/解离速率常数和亲和常数等动力学参数。与结构相似的间同立构PMMA相比,观察到肽与目标全同立构PMMA的结合更强且解离常数更小,随后对目标的亲和常数更大。由Glu-Leu-Trp-Arg-Pro-Thr-Arg序列组成的c02肽对目标显示出最大的亲和常数(2.8×10⁵ M⁻¹),比参考肽的亲和常数大41倍,从而证明了极高的肽特异性。将c02肽的每个氨基酸替换为丙氨酸(丙氨酸扫描)清楚地揭示了对亲和常数至关重要的氨基酸;关键顺序为Pro5>>Thr6>Arg7>Glu1>Arg4。实际上,由c02肽的C端Arg-Pro-Thr-Arg序列组成的较短四聚体肽仍表现出很强的目标特异性,尽管N端四聚体肽Glu-Leu-Trp-Arg完全失去了其特异性。用分子力学模拟的可能构象支持了Arg-Pro-Thr-Arg序列的重要性。c02肽的热力学参数表明存在特异性亲和的诱导契合机制。目前对聚合物识别肽的亲和分析揭示了对于肽基纳米材料潜在应用至关重要的重要且通用的信息。