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Potency-Enhancing Mutations of Gating Modifier Toxins for the Voltage-Gated Sodium Channel Na(V)1.7 Can Be Predicted Using Accurate Free-Energy Calculations

Gating modifier toxins (GMTs) isolated from venomous organisms such as Protoxin-II (ProTx-II) and Huwentoxin-IV (HwTx-IV) that inhibit the voltage-gated sodium channel Na(V)1.7 by binding to its voltage-sensing domain II (VSDII) have been extensively investigated as non-opioid analgesics. However, r...

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Autores principales: Katz, Dana, Sindhikara, Dan, DiMattia, Michael, Leffler, Abba E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8002187/
https://www.ncbi.nlm.nih.gov/pubmed/33800031
http://dx.doi.org/10.3390/toxins13030193
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author Katz, Dana
Sindhikara, Dan
DiMattia, Michael
Leffler, Abba E.
author_facet Katz, Dana
Sindhikara, Dan
DiMattia, Michael
Leffler, Abba E.
author_sort Katz, Dana
collection PubMed
description Gating modifier toxins (GMTs) isolated from venomous organisms such as Protoxin-II (ProTx-II) and Huwentoxin-IV (HwTx-IV) that inhibit the voltage-gated sodium channel Na(V)1.7 by binding to its voltage-sensing domain II (VSDII) have been extensively investigated as non-opioid analgesics. However, reliably predicting how a mutation to a GMT will affect its potency for Na(V)1.7 has been challenging. Here, we hypothesize that structure-based computational methods can be used to predict such changes. We employ free-energy perturbation (FEP), a physics-based simulation method for predicting the relative binding free energy (RBFE) between molecules, and the cryo electron microscopy (cryo-EM) structures of ProTx-II and HwTx-IV bound to VSDII of Na(V)1.7 to re-predict the relative potencies of forty-seven point mutants of these GMTs for Na(V)1.7. First, FEP predicted these relative potencies with an overall root mean square error (RMSE) of 1.0 ± 0.1 kcal/mol and an R(2) value of 0.66, equivalent to experimental uncertainty and an improvement over the widely used molecular-mechanics/generalized born-surface area (MM-GB/SA) RBFE method that had an RMSE of 3.9 ± 0.8 kcal/mol. Second, inclusion of an explicit membrane model was needed for the GMTs to maintain stable binding poses during the FEP simulations. Third, MM-GB/SA and FEP were used to identify fifteen non-standard tryptophan mutants at ProTx-II[W24] predicted in silico to have a at least a 1 kcal/mol gain in potency. These predicted potency gains are likely due to the displacement of high-energy waters as identified by the WaterMap algorithm for calculating the positions and thermodynamic properties of water molecules in protein binding sites. Our results expand the domain of applicability of FEP and set the stage for its prospective use in biologics drug discovery programs involving GMTs and Na(V)1.7.
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spelling pubmed-80021872021-03-28 Potency-Enhancing Mutations of Gating Modifier Toxins for the Voltage-Gated Sodium Channel Na(V)1.7 Can Be Predicted Using Accurate Free-Energy Calculations Katz, Dana Sindhikara, Dan DiMattia, Michael Leffler, Abba E. Toxins (Basel) Article Gating modifier toxins (GMTs) isolated from venomous organisms such as Protoxin-II (ProTx-II) and Huwentoxin-IV (HwTx-IV) that inhibit the voltage-gated sodium channel Na(V)1.7 by binding to its voltage-sensing domain II (VSDII) have been extensively investigated as non-opioid analgesics. However, reliably predicting how a mutation to a GMT will affect its potency for Na(V)1.7 has been challenging. Here, we hypothesize that structure-based computational methods can be used to predict such changes. We employ free-energy perturbation (FEP), a physics-based simulation method for predicting the relative binding free energy (RBFE) between molecules, and the cryo electron microscopy (cryo-EM) structures of ProTx-II and HwTx-IV bound to VSDII of Na(V)1.7 to re-predict the relative potencies of forty-seven point mutants of these GMTs for Na(V)1.7. First, FEP predicted these relative potencies with an overall root mean square error (RMSE) of 1.0 ± 0.1 kcal/mol and an R(2) value of 0.66, equivalent to experimental uncertainty and an improvement over the widely used molecular-mechanics/generalized born-surface area (MM-GB/SA) RBFE method that had an RMSE of 3.9 ± 0.8 kcal/mol. Second, inclusion of an explicit membrane model was needed for the GMTs to maintain stable binding poses during the FEP simulations. Third, MM-GB/SA and FEP were used to identify fifteen non-standard tryptophan mutants at ProTx-II[W24] predicted in silico to have a at least a 1 kcal/mol gain in potency. These predicted potency gains are likely due to the displacement of high-energy waters as identified by the WaterMap algorithm for calculating the positions and thermodynamic properties of water molecules in protein binding sites. Our results expand the domain of applicability of FEP and set the stage for its prospective use in biologics drug discovery programs involving GMTs and Na(V)1.7. MDPI 2021-03-07 /pmc/articles/PMC8002187/ /pubmed/33800031 http://dx.doi.org/10.3390/toxins13030193 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Katz, Dana
Sindhikara, Dan
DiMattia, Michael
Leffler, Abba E.
Potency-Enhancing Mutations of Gating Modifier Toxins for the Voltage-Gated Sodium Channel Na(V)1.7 Can Be Predicted Using Accurate Free-Energy Calculations
title Potency-Enhancing Mutations of Gating Modifier Toxins for the Voltage-Gated Sodium Channel Na(V)1.7 Can Be Predicted Using Accurate Free-Energy Calculations
title_full Potency-Enhancing Mutations of Gating Modifier Toxins for the Voltage-Gated Sodium Channel Na(V)1.7 Can Be Predicted Using Accurate Free-Energy Calculations
title_fullStr Potency-Enhancing Mutations of Gating Modifier Toxins for the Voltage-Gated Sodium Channel Na(V)1.7 Can Be Predicted Using Accurate Free-Energy Calculations
title_full_unstemmed Potency-Enhancing Mutations of Gating Modifier Toxins for the Voltage-Gated Sodium Channel Na(V)1.7 Can Be Predicted Using Accurate Free-Energy Calculations
title_short Potency-Enhancing Mutations of Gating Modifier Toxins for the Voltage-Gated Sodium Channel Na(V)1.7 Can Be Predicted Using Accurate Free-Energy Calculations
title_sort potency-enhancing mutations of gating modifier toxins for the voltage-gated sodium channel na(v)1.7 can be predicted using accurate free-energy calculations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8002187/
https://www.ncbi.nlm.nih.gov/pubmed/33800031
http://dx.doi.org/10.3390/toxins13030193
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