2020
DOI: 10.3390/toxins12100652
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Water Thermodynamics of Peptide Toxin Binding Sites on Ion Channels

Abstract: Peptide toxins isolated from venomous creatures, long prized as research tools due to their innate potency for ion channels, are emerging as drugs as well. However, it remains challenging to understand why peptide toxins bind with high potency to ion channels, to identify residues that are key for activity, and to improve their affinities via mutagenesis. We use WaterMap, a molecular dynamics simulation-based method, to gain computational insight into these three questions by calculating the locations and ther… Show more

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Cited by 4 publications
(11 citation statements)
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“…Taken together, these results suggest that LvIA displaces more and higher-energy unstable waters when binding to the α3β2 nAChR than the α3β4 nAChR, which could account for why it is more potent in the former subtype. These findings are consistent with a previous study in which water thermodynamics was used to explain mutagenesis data for a variety of peptide toxins for different ion channels [ 12 ].…”
Section: Resultssupporting
confidence: 92%
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“…Taken together, these results suggest that LvIA displaces more and higher-energy unstable waters when binding to the α3β2 nAChR than the α3β4 nAChR, which could account for why it is more potent in the former subtype. These findings are consistent with a previous study in which water thermodynamics was used to explain mutagenesis data for a variety of peptide toxins for different ion channels [ 12 ].…”
Section: Resultssupporting
confidence: 92%
“…Some principles for improving the selectivity of these conotoxins via mutagenesis have begun to emerge [ 11 ], such as focusing efforts on loop 2 vs. loop 1. In addition, the locations and thermodynamics of water sites in the peptide toxin binding pockets of ion channels, as computed by inhomogeneous solvation theory implemented in the WaterMap algorithm, have recently been shown to explain structure–activity relationships (SAR) for bungarotoxin and the muscle-subtype nAChR [ 12 ]; however, accurately predicting selectivity-enhancing mutations is still an arduous process with much uncertainty that would benefit from new approaches [ 13 ].…”
Section: Introductionmentioning
confidence: 99%
“…For the first step of the workflow, we ran a WaterMap of ProTx-II bound to Na V 1.7 to identify residues suitable for mutagenesis as has been performed previously [ 20 ]. WaterMap placed a total of 101 water sites within 5 Å of the protein-protein interface atoms ( Figure 7 B).…”
Section: Resultsmentioning
confidence: 99%
“…The WaterMap simulations were performed as described previously [ 20 ] using the construct described above. As this WaterMap simulation was “holo,” ProTx-II was retained during the simulation.…”
Section: Methodsmentioning
confidence: 99%
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