A Pharmacological Masterkey Mechanism to Unlock the Selectivity Filter Gate in K+ Channels

Biophysical Journal Elsevier 116:3 (2019) 301a-302a

Authors:

Marcus Schewe, Han Sun, Alexandra Mackenzie, Ashley CW Pike, Friederike Schulz, Christina Constantin, Aytug K Kiper, Linus J Conrad, Wendy Gonzalez, Bert L de Groot, Niels Decher, Bernd Fakler, Elisabeth P Carpenter, Stephen J Tucker, Thomas Baukrowitz

Functional Annotation of Ion Channel Structures: Predicting Pore Solvation States Based on Local Radius and Hydrophobicity

Biophysical Journal Elsevier 116:3 (2019) 241a

Authors:

Shanlin Rao, Gianni Klesse, Phillip J Stansfeld, Stephen J Tucker, Mark SP Sansom

Insights into Selectivity Filter Gating of K2P Channels from Single-Channel Recordings

Biophysical Journal Elsevier 116:3 (2019) 248a-249a

Authors:

Linus J Conrad, Stephen J Tucker

Systematic Scanning Mutagenesis of the Pore Helices in the TREK-2 K2P Channel

Biophysical Journal Elsevier 116:3 (2019) 398a-399a

Authors:

Manuel Arcangeletti, Stephen J Tucker

CHAP: A versatile tool for the structural and functional annotation of ion channel pores

(2019)

Authors:

Gianni Klesse, Shanlin Rao, Mark SP Sansom, Stephen Tucker

Abstract:

The regulation of ion channel and transporter function requires the modulation of energetic barriers or ‘gates’ within their transmembrane pathways. However, despite the ever-increasing number of available structures, our understanding of these barriers is often simply determined from calculating the physical dimensions of the pore. Such approaches (e.g. the HOLE program) have worked very well in the past, but there is now considerable evidence that the unusual behaviour of water within the narrow hydrophobic spaces found within many ion channel pores can also produce energetic barriers to ion conduction without requiring physical occlusion of the permeation pathway. Several different classes of ion channels have now been shown to exploit this principle of ‘hydrophobic gating’ to regulate ion flow. However, measurement of pore radius alone is unable to identify such barriers and new tools are required for more accurate functional annotation of an exponentially increasing number of ion channel structures. We have previously shown how molecular dynamics simulations of water behaviour can be used as a proxy to accurately predict hydrophobic gates. Here we now present a new and highly versatile computational tool, the Channel Annotation Package (CHAP) that implements this methodology to predict the conductive status of new ion channel structures.