bioRxivMolecular BiologyPreprint
MPKaDB: A pKa Database for Exploring pH Dependence in Membrane Proteins
Jiahao HeiD, Yansheng Chen, WU Jinxi, Zhitao Cai, Wenting Jia, Qiuchen Yue, Yandong HuangiD
Abstract
The biological activities of many membrane proteins are pH-regulated, yet mapping their pH dependence experimentally is slow and expensive. In this work, we present MPKaDB (http://computbiophys.com/DeepKa/mpkadb), a comprehensive pKa database for membrane proteins that instantly decode the protonation states of ionizable residues under a specified pH. Leveraging MPKaDB, we performed pH-coupled electrostatic characterization of trans-membrane proteins. To facilitate use, a user-friendly search engine was developed to retrieve a protein of interest and returns its pKa values, isoelectric points of both cytoplasmic and extra-cytoplasmic faces, and an automated screening of active-site residues. In the end, two case studies were proposed to demonstrate how pKas from MPKaDB could be applied to explore the pH-dependent relationship between membrane protein structure and function. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=95 SRC="FIGDIR/small/688495v1_ufig1.gif" ALT="Figure 1"> View larger version (38K): org.highwire.dtl.DTLVardef@f90726org.highwire.dtl.DTLVardef@1448ac2org.highwire.dtl.DTLVardef@f1e4f4org.highwire.dtl.DTLVardef@ee57dc_HPS_FORMAT_FIGEXP M_FIG C_FIG
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