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In Silico Analysis of the Subtype Selective Blockage of KCNA Ion Channels through the mu-Conotoxins PIIIA, SIIIA, and GIIIA

Artikel i vetenskaplig tidskrift
Författare D. Kaufmann
Alesia A. Tietze
D. Tietze
Publicerad i Marine Drugs
Volym 17
Nummer/häfte 3
ISSN 1660-3397
Publiceringsår 2019
Publicerad vid Wallenberglaboratoriet
Språk en
Länkar dx.doi.org/10.3390/md17030180
Ämnesord potassium channel, mu-conotoxins, mu-PIIIA, mu-SIIIA, mu-GIIIA, ion channel, toxin interactions, protein side-chain, k+ channels, web server, voltage, accuracy, prediction, algorithm, dynamics, docking, haddock, Pharmacology & Pharmacy, yamoto s, 1992, journal of computational chemistry, v13, p952
Ämneskategorier Farmakologi och toxikologi

Sammanfattning

Understanding subtype specific ion channel pore blockage by natural peptide-based toxins is crucial for developing such compounds into promising drug candidates. Herein, docking and molecular dynamics simulations were employed in order to understand the dynamics and binding states of the mu-conotoxins, PIIIA, SIIIA, and GIIIA, at the voltage-gated potassium channels of the KV1 family, and they were correlated with their experimental activities recently reported by Leipold et al. Their different activities can only adequately be understood when dynamic information about the toxin-channel systems is available. For all of the channel-bound toxins investigated herein, a certain conformational flexibility was observed during the molecular dynamic simulations, which corresponds to their bioactivity. Our data suggest a similar binding mode of mu-PIIIA at KV1.6 and KV1.1, in which a plethora of hydrogen bonds are formed by the Arg and Lys residues within the -helical core region of mu-PIIIA, with the central pore residues of the channel. Furthermore, the contribution of the K+ channel's outer and inner pore loops with respect to the toxin binding. and how the subtype specificity is induced, were proposed.

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