Departament de Química, Universitat Autònoma de Barcelona, Bellaterra 08193, Catalonia, Spain.
Dipartimento di Chimica and Nanostructured Interfaces and Surfaces (NIS) Inter-Departmental Centre, Università degli Studi di Torino, Via P. Giuria 7, Torino 10125, Italy.
J Chem Inf Model. 2021 Nov 22;61(11):5484-5498. doi: 10.1021/acs.jcim.1c00689. Epub 2021 Nov 9.
Computational modeling of protein/surface systems is challenging since the conformational variations of the protein and its interactions with the surface need to be considered at once. Adoption of first-principles methods to this purpose is overwhelming and computationally extremely expensive so that, in many cases, dramatically simplified systems (, small peptides or amino acids) are used at the expenses of modeling nonrealistic systems. In this work, we propose a cost-effective strategy for the modeling of peptide/surface interactions at a full quantum mechanical level, taking the adsorption of polyglycine on the TiO (101) anatase surface as a test case. Our approach is based on applying the periodic boundary conditions for both the surface model and the polyglycine peptide, giving rise to full periodic polyglycine/TiO surface systems. By proceeding this way, the considered complexes are modeled with a drastically reduced number of atoms compared with the finite-analogous systems, modeling the polypeptide structures at the same time in a realistic way. Within our modeling approach, full periodic density functional theory calculations (including implicit solvation effects) and molecular dynamics (AIMD) simulations at the PBE-D2* theory level have been carried out to investigate the adsorption and relative stability of the different polyglycine structures (, extended primary, β-sheet, and α-helix) on the TiO surface. It has been found that, upon adsorption, secondary structures become partially denatured because the peptide C═O groups form Ti-O═C dative bonds. AIMD simulations have been fundamental to identify these phenomena because thermal and entropic effects are of paramount importance. Irrespective of the simulated environments (gas phase and implicit solvent), adsorption of the α-helix is more favorable than that of the β-sheet because in the former, more Ti-O═C bonds are formed and the adsorbed secondary structure results less distorted with respect to the isolated state. Under the implicit water solvent, additionally, adsorbed β-sheet structures weaken with respect to their isolated states as the H-bonds between the strands are longer due to solvation effects. Accordingly, the results indicate that the preferred conformation upon adsorption is the α-helix over the β-sheet.
蛋白质/表面体系的计算建模具有挑战性,因为需要同时考虑蛋白质的构象变化及其与表面的相互作用。为此目的采用第一性原理方法是压倒性的,并且在计算上非常昂贵,以至于在许多情况下,使用显著简化的体系(例如小肽或氨基酸)来牺牲对非现实体系的建模。在这项工作中,我们提出了一种在全量子力学水平上建模肽/表面相互作用的经济有效的策略,以多聚甘氨酸在 TiO(101)锐钛矿表面上的吸附为例。我们的方法基于对表面模型和多聚甘氨酸肽都应用周期性边界条件,从而产生全周期性多聚甘氨酸/TiO 表面体系。通过这种方式,与有限类似体系相比,所考虑的复合物的建模原子数量大大减少,同时以现实的方式对多肽结构进行建模。在我们的建模方法中,在 PBE-D2*理论水平上进行了全周期性密度泛函理论计算(包括隐式溶剂化效应)和分子动力学(AIMD)模拟,以研究不同多聚甘氨酸结构(伸展初级结构、β-折叠和α-螺旋)在 TiO 表面上的吸附和相对稳定性。结果发现,在吸附过程中,由于肽的 C═O 基团形成 Ti-O═C 配位键,二级结构部分变性。AIMD 模拟对于识别这些现象至关重要,因为热和熵效应非常重要。无论模拟环境(气相和隐式溶剂)如何,α-螺旋的吸附都比β-折叠有利,因为在前者中形成了更多的 Ti-O═C 键,并且与孤立状态相比,吸附的二级结构变形较小。在隐式水溶剂中,另外,由于溶剂化效应,链间氢键较长,吸附的β-折叠结构相对于其孤立状态变弱。因此,结果表明,吸附时优先的构象是α-螺旋而不是β-折叠。