Structural Descriptors for Subunit Interface Regions in Homodimers: Effect of Lipid Membrane and Secondary Structure Type.

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL Journal of Chemical Information and Modeling Pub Date : 2025-04-14 Epub Date: 2025-03-27 DOI:10.1021/acs.jcim.4c01233
Aslı Yüksek, Batuhan Yıkınç, İrem Nayır, Defne Alnıgeniş, Vahap Gazi Fidan, Tayyip Topuz, Ebru Demet Akten
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Abstract

A total of 1311 homodimers were collected and analyzed in three different categories to highlight the impact of lipid environment and secondary structure type: 422 cytoplasmic α-helix, 411 cytoplasmic β-strand, and 478 membrane complexes. Structural features of the interface connecting two monomers were investigated and compared to those of the non-interface surface. Every residue on the surface of each monomer was explored based on four attributes: solvent-accessible surface area (SASA), protrusion index (Cx), surface planarity, and surface roughness. SASA and Cx distribution profiles clearly distinguished the interface from the surface in all categories, where the rim of the interface displayed higher SASA and Cx values than the rest of the surface. Surface residues in membrane complexes protruded less than cytoplasmic ones due to the hydrophobic environment, and consequently, the difference between surface and interface residues became less noticeable in that category. Cytoplasmic β-strand complexes displayed markedly lower SASA at the interface core than at the surface. The major distinction between the surface and interface was achieved through surface roughness, which displayed significantly higher values for the interface than the surface, especially in cytoplasmic complexes. Clearly, a surface which is relatively rugged favors the association of two monomers through multiple van der Waals interactions and hydrogen-bond formations. Another structural descriptor with strong distinguishing ability was surface planarity, which was higher at the interface than at the non-interface surface. Surface flatness would eventually facilitate the interconnectedness of an interface with a network of residue pairs bridging two complementary surfaces. Analysis of contact pairs revealed that hydrophobic pairs have the highest frequency of occurrence in the lipid environment of membrane complexes. However, despite the scarcity of polar residues at the interface, the likelihood of observing a contact between polar residues was markedly higher than that of hydrophobic ones.

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同型二聚体中亚基界面区的结构描述符:脂质膜和二级结构类型的影响。
共收集了1311个同型二聚体,并将其分为三种不同的类别进行分析,以突出脂质环境和二级结构类型的影响:422个细胞质α-螺旋,411个细胞质β-链,478个膜复合物。研究了连接两个单体的界面的结构特征,并与非界面表面进行了比较。每个单体表面上的每个残留物都基于四个属性:溶剂可及表面积(SASA)、突出指数(Cx)、表面平面度和表面粗糙度。SASA和Cx分布曲线清晰地将界面与表面区分开来,界面边缘的SASA和Cx值高于表面的其他部分。由于疏水环境的影响,膜复合物的表面残基比胞质残基的突出程度要小,因此在这一类中,表面残基和界面残基之间的差异不太明显。细胞质β-链复合物在界面核心处的SASA明显低于表面。表面和界面之间的主要区别是通过表面粗糙度来实现的,界面的粗糙度值明显高于表面,特别是在细胞质复合体中。显然,相对粗糙的表面有利于两个单体通过多重范德华作用和氢键形成结合。另一个具有较强区分能力的结构描述符是表面平面度,界面表面的平面度高于非界面表面。表面平整度最终将促进界面的互联性,残馀对网络桥接两个互补的表面。对接触对的分析表明疏水对在膜复合物的脂质环境中出现的频率最高。然而,尽管界面上极性残基很少,但观察到极性残基之间接触的可能性明显高于疏水性残基。
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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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