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Featured researches published by Kevin R. DeMarco.


Frontiers in Pharmacology | 2018

Digging into Lipid Membrane Permeation for Cardiac Ion Channel Blocker d-Sotalol with All-Atom Simulations

Kevin R. DeMarco; Slava Bekker; Colleen E. Clancy; Sergei Y. Noskov; Igor Vorobyov

Interactions of drug molecules with lipid membranes play crucial role in their accessibility of cellular targets and can be an important predictor of their therapeutic and safety profiles. Very little is known about spatial localization of various drugs in the lipid bilayers, their active form (ionization state) or translocation rates and therefore potency to bind to different sites in membrane proteins. All-atom molecular simulations may help to map drug partitioning kinetics and thermodynamics, thus providing in-depth assessment of drug lipophilicity. As a proof of principle, we evaluated extensively lipid membrane partitioning of d-sotalol, well-known blocker of a cardiac potassium channel Kv11.1 encoded by the hERG gene, with reported substantial proclivity for arrhythmogenesis. We developed the positively charged (cationic) and neutral d-sotalol models, compatible with the biomolecular CHARMM force field, and subjected them to all-atom molecular dynamics (MD) simulations of drug partitioning through hydrated lipid membranes, aiming to elucidate thermodynamics and kinetics of their translocation and thus putative propensities for hydrophobic and aqueous hERG access. We found that only a neutral form of d-sotalol accumulates in the membrane interior and can move across the bilayer within millisecond time scale, and can be relevant to a lipophilic channel access. The computed water-membrane partitioning coefficient for this form is in good agreement with experiment. There is a large energetic barrier for a cationic form of the drug, dominant in water, to cross the membrane, resulting in slow membrane translocation kinetics. However, this form of the drug can be important for an aqueous access pathway through the intracellular gate of hERG. This route will likely occur after a neutral form of a drug crosses the membrane and subsequently re-protonates. Our study serves to demonstrate a first step toward a framework for multi-scale in silico safety pharmacology, and identifies some of the challenges that lie therein.


bioRxiv | 2018

Structural Basis for Antiarrhythmic Drug Interactions with the Human Cardiac Sodium Channel

Phuong T. Nguyen; Kevin R. DeMarco; Igor Vorobyov; Colleen E. Clancy; Vladimir Yarov-Yarovoy

The human voltage-gated sodium channel, hNav1.5, is responsible for the rapid upstroke of the cardiac action potential and is target for antiarrhythmic therapy. Despite the clinical relevance of hNav1.5 targeting drugs, structure-based molecular mechanisms of promising or problematic drugs have not been investigated at atomic scale to inform drug design. Here, we used Rosetta structural modeling and docking as well as molecular dynamics simulations to study the interactions of antiarrhythmic and local anesthetic drugs with hNav1.5. These calculations revealed several key drug binding sites formed within the pore lumen that can simultaneously accommodate up to two drug molecules. Molecular dynamics simulations identified a hydrophilic access pathway through the intracellular gate and a hydrophobic access pathway through a fenestration between domains III and IV. Our results advance the understanding of molecular mechanisms of antiarrhythmic and local anesthetic drug interactions with hNav1.5 and will be useful for rational design of novel therapeutics.


Biophysical Journal | 2018

Atomistic Simulation of Lipid Membrane Permeation for Cardiac Ion Channel Blockers

Kevin R. DeMarco; Slava Bekker; Colleen E. Clancy; Sergei Y. Noskov; Igor Vorobyov


Biophysical Journal | 2018

Molecular Determinants of Steroid Hormone and Drug Induced Arrhythmogenesis via hERG Channel Block

Igor Vorobyov; Brandon M. Brown; Kevin R. DeMarco; Sergei Y. Noskov; Vladimir Yarov-Yarovoy; Heike Wulff; Colleen E. Clancy


Biophysical Journal | 2018

Structural Modeling of hERG Channel Interactions with Drugs using Rosetta

Aiyana M. Emigh; Kevin R. DeMarco; Kazuharu Furutani; Slava Bekker; Jon T. Sack; Colleen E. Clancy; Igor Vorobyov; Vladimir Yarov-Yarovoy


Biophysical Journal | 2018

Structural Modeling of Local Anesthetic and Antiarrhythmic Drug Binding to the Human Cardiac Voltage Gated Sodium Channel

Phuong T. Nguyen; Kevin R. DeMarco; Igor Vorobyov; Colleen E. Clancy; Vladimir Yarov-Yarovoy


Biophysical Journal | 2018

Structural Modeling of Full-Length KCa Channels using Rosetta

Heesung Shim; Heike Wulff; Kevin R. DeMarco; Vladimir Yarov-Yarovoy


Archive | 2017

Methods and systems of predicting agent induced effects in silico

Colleen E. Clancy; Pei-Chi Yang; Kevin R. DeMarco; Sergei Y. Noskov; Yibo Wang; Laura L. Perissinotti; Igor Vorobyov


Biophysical Journal | 2017

State-Dependent Structural Modeling and Atomistic Simulations of the hERG Potassium Channel

Kevin R. DeMarco; Phuong T. Nguyen; Toby W. Allen; Vladimir Yarov-Yarovoy; Colleen E. Clancy; Igor Vorobyov


Biophysical Journal | 2017

An Open State Model of the Navab Channel Explored by Rosetta and Molecular Dynamics Simulation

Phuong T. Nguyen; Kevin R. DeMarco; Igor Vorobyov; Coleen E. Clancy; Toby W. Allen; Vladimir Yarov-Yarovoy

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Igor Vorobyov

University of California

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Slava Bekker

University of California

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Heike Wulff

University of California

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Pei-Chi Yang

University of California

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