Membrane proteins (MPs) are key players in a variety of different cellular processes and constitute the target of around 60% of all Food and Drug Administration–approved drugs. Despite their importance, there is still a massive lack of relevant structural, biochemical and mechanistic information mainly due to their localization within the lipid bilayer. To help fulfil this gap, we developed the MEmbrane protein dimer Novel Structure Analyser database (MENSAdb). This interactive web application summarizes the evolutionary and physicochemical properties of dimeric MPs to expand the available knowledge on the fundamental principles underlying their formation. Currently, MENSAdb contains features of 167 unique MPs (63% homo- and 37% heterodimers) and brings insights into the conservation of residues, accessible solvent area descriptors, average B-factors, intermolecular contacts at 2.5 Å and 4.0 Å distance cut-offs, hydrophobic contacts, hydrogen bonds, salt bridges, π–π stacking, T-stacking and cation–π interactions. The regular update and organization of all these data into a unique platform will allow a broad community of researchers to collect and analyse a large number of features efficiently, thus facilitating their use in the development of prediction models associated with MPs. Database URL: http://www.moreiralab.com/resources/mensadb.

中文翻译：

---

MENSAdb：膜蛋白二聚体的彻底结构分析

膜蛋白 (MPs) 是各种不同细胞过程中的关键参与者，并且构成了食品和药物管理局批准的所有药物中约 60% 的目标。尽管它们很重要，但仍然大量缺乏相关的结构、生化和机械信息，这主要是由于它们位于脂质双层内。为了填补这一空白，我们开发了 MEmbrane 蛋白二聚体新型结构分析器数据库 (MENSAdb)。这个交互式网络应用程序总结了二聚体 MP 的进化和物理化学特性，以扩展关于其形成的基本原理的可用知识。目前，MENSAdb 包含 167 个独特 MP（63% 同源二聚体和 37% 异源二聚体）的特征，并带来了对残基守恒、可访问溶剂区域描述符、平均 B 因子、2.5 Å 和 4.0 Å 距离截止值的分子间接触、疏水接触、氢键、盐桥、π-π 堆积、T-堆积和阳离子-π 相互作用。所有这些数据的定期更新和组织到一个独特的平台将使广泛的研究人员社区能够有效地收集和分析大量特征，从而促进它们在与 MPs 相关的预测模型的开发中的使用。数据库网址：http://www.moreiralab.com/resources/mensadb。所有这些数据的定期更新和组织到一个独特的平台将使广泛的研究人员社区能够有效地收集和分析大量特征，从而促进它们在与 MPs 相关的预测模型的开发中的使用。数据库网址：http://www.moreiralab.com/resources/mensadb。所有这些数据的定期更新和组织到一个独特的平台将使广泛的研究人员社区能够有效地收集和分析大量特征，从而促进它们在与 MPs 相关的预测模型的开发中的使用。数据库网址：http://www.moreiralab.com/resources/mensadb。