{"id":6,"date":"2013-09-10T12:21:20","date_gmt":"2013-09-10T12:21:20","guid":{"rendered":"https:\/\/sites.krieger.jhu.edu\/template-research\/?page_id=6"},"modified":"2025-11-12T12:19:03","modified_gmt":"2025-11-12T17:19:03","slug":"research","status":"publish","type":"page","link":"https:\/\/sites.krieger.jhu.edu\/damjanovic-lab\/research\/","title":{"rendered":"Research"},"content":{"rendered":"<p>We use computational tools (molecular dynamics simulations and machine learning) to study biomolecule electrostatics and charge transfer in biological systems. These are our current research topics.<\/p>\n<h3><strong>Ion channels<\/strong><\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft wp-image-187 \" src=\"https:\/\/sites.krieger.jhu.edu\/damjanovic-lab\/files\/2021\/01\/Screen-Shot-2021-01-07-at-1.26.24-PM-300x234.png\" alt=\"ion channel\" width=\"281\" height=\"219\" srcset=\"https:\/\/sites.krieger.jhu.edu\/damjanovic-lab\/files\/2021\/01\/Screen-Shot-2021-01-07-at-1.26.24-PM-300x234.png 300w, https:\/\/sites.krieger.jhu.edu\/damjanovic-lab\/files\/2021\/01\/Screen-Shot-2021-01-07-at-1.26.24-PM-768x600.png 768w, https:\/\/sites.krieger.jhu.edu\/damjanovic-lab\/files\/2021\/01\/Screen-Shot-2021-01-07-at-1.26.24-PM.png 942w\" sizes=\"auto, (max-width: 281px) 100vw, 281px\" \/>Ion channels are membrane proteins that form pores and control the flow of ions across cell membranes. They are found in virtually all living cells, and have tremendous physiological relevance in regulating ion concentrations inside cells. In the brain and the heart, ion channels are key players in generation of exotic phenomena known as action potentials. <span class=\"s1\">Selectivity of ion channels for one ion type\u00a0<\/span><span class=\"s1\">is key, as the action potential occurs through rapid opening and closing of voltage dependent sodiu<\/span><span class=\"s1\">m selective channels, and potassium selective channels.<\/span><\/p>\n<p>We currently study the determinants of conductance and selectivity of ion channels. We have recently proposed a new mechanism of how sodium channels prefer sodium vs potassium. If you are interested check out these papers:<\/p>\n<p><a class=\"gsc_a_at\" href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=aLadh-MAAAAJ&amp;sortby=pubdate&amp;citation_for_view=aLadh-MAAAAJ:YFjsv_pBGBYC\">Ion channel selectivity through ion-modulated changes of selectivity filter p<i>K<\/i><sub>a<\/sub>\u00a0values<\/a>, PNAS 120 (26), e2220343120<\/p>\n<p><a class=\"gsc_oci_title_link\" href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/2025.08.15.670429.abstract\" data-clk=\"hl=en&amp;sa=T&amp;ei=yL0UafHLCILKieoP8obk6As\">Characterizing the Ion-Conductive State of the \u03b17-Nicotinic Acetylcholine Receptor via Single-Channel Measurements and Molecular Dynamics Simulations<\/a><\/p>\n<h3><strong>From Channels to Neural Circuits<\/strong><\/h3>\n<p>We investigate how the physical properties of ion channels shape electrical activity in neurons and lay the groundwork for understanding collective dynamics in neural circuits. By integrating molecular-scale simulations with models of neuronal excitability, we explore how channel kinetics, electrostatics, and thermal fluctuations influence single-neuron behavior. This multi-scale approach connects atomic biophysics to cellular and systems neuroscience, bridging theory, computation, and experiment. Our goal is to uncover the physical principles linking molecular events to emergent neural function.<\/p>\n<p>Please check out our recent paper:<\/p>\n<p><a class=\"gsc_oci_title_link\" href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/2025.11.06.686996.abstract\" data-clk=\"hl=en&amp;sa=T&amp;ei=c8EUacnTLeXtieoPyZeX0Aw\">From Atoms to Neuronal Spikes: A Multi-Scale Simulation Framework<\/a><\/p>\n<h3><strong>Protein electrostatics<\/strong><\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-195 alignleft\" src=\"https:\/\/sites.krieger.jhu.edu\/damjanovic-lab\/files\/2021\/01\/Screen-Shot-2021-01-07-at-2.08.30-PM-300x106.png\" alt=\"Aspartic acid\" width=\"390\" height=\"138\" srcset=\"https:\/\/sites.krieger.jhu.edu\/damjanovic-lab\/files\/2021\/01\/Screen-Shot-2021-01-07-at-2.08.30-PM-300x106.png 300w, https:\/\/sites.krieger.jhu.edu\/damjanovic-lab\/files\/2021\/01\/Screen-Shot-2021-01-07-at-2.08.30-PM-1024x362.png 1024w, https:\/\/sites.krieger.jhu.edu\/damjanovic-lab\/files\/2021\/01\/Screen-Shot-2021-01-07-at-2.08.30-PM-768x271.png 768w, https:\/\/sites.krieger.jhu.edu\/damjanovic-lab\/files\/2021\/01\/Screen-Shot-2021-01-07-at-2.08.30-PM-1536x543.png 1536w, https:\/\/sites.krieger.jhu.edu\/damjanovic-lab\/files\/2021\/01\/Screen-Shot-2021-01-07-at-2.08.30-PM.png 1788w\" sizes=\"auto, (max-width: 390px) 100vw, 390px\" \/>Binding of protons to ionizable amino acids in proteins, such as aspartic and glutamic acid, histidine and lysine affects the charge on that residue and thus determines the protein&#8217;s electrostatic properties. Electrostatics affects almost every structural and functional aspect of proteins; including stability, solubility, dynamics, interactions, and catalysis. It is especially important for key processes involving movement of charges, including proton and electron transfer reactions and transport of ions. Thus it is very important to know how many protons are bound to a protein, and to which ionizable residues, i.e., it is important to know what the protonation state of each ionizable residue is.<\/p>\n<p class=\"p1\"><span class=\"s1\">We are developing new tools for protein pKa predictions. Our earlier work focused on molecular dynami<\/span><span class=\"s1\">cs based methods for pKa prediction, i.e., on constant pH simulations. Currently we are focusing on <\/span><span class=\"s1\">machine learning approaches. You can read more about it in our recent paper:<\/span><\/p>\n<p><a class=\"gsc_a_at\" href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=aLadh-MAAAAJ&amp;sortby=pubdate&amp;citation_for_view=aLadh-MAAAAJ:maZDTaKrznsC\">Protein p<i>K<\/i><sub>a<\/sub>\u00a0Prediction by Tree-Based Machine Learning<\/a>, Journal of chemical theory and computation 18 (4), 2673-2686<\/p>\n<p>We are also interested in obtaining pKa values through NMR spectroscopy.<\/p>\n<h3><strong>Membrane electrostatics<\/strong><\/h3>\n<p class=\"p1\"><span class=\"s1\">Charged lipids play a key role in many cellular processes, including cell migration, endocytosis<\/span><span class=\"s1\">, exocytosis and signaling. We currently study structural and electrostatic properties <\/span><span>of charged lipids, as well as the role of lipid bilayers in sensing of external electric fields.\u00a0<\/span><\/p>\n<p>We are also interested in understanding how lipids modulate ion channel function.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We use computational tools (molecular dynamics simulations and machine learning) to study biomolecule electrostatics and charge transfer in biological systems. These are our current research topics. Ion channels Ion channels are membrane proteins that form pores and control the flow of ions across cell membranes. They are found in virtually all living cells, and have [&hellip;]<\/p>\n","protected":false},"author":40,"featured_media":0,"parent":0,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-6","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sites.krieger.jhu.edu\/damjanovic-lab\/wp-json\/wp\/v2\/pages\/6","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.krieger.jhu.edu\/damjanovic-lab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.krieger.jhu.edu\/damjanovic-lab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.krieger.jhu.edu\/damjanovic-lab\/wp-json\/wp\/v2\/users\/40"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.krieger.jhu.edu\/damjanovic-lab\/wp-json\/wp\/v2\/comments?post=6"}],"version-history":[{"count":4,"href":"https:\/\/sites.krieger.jhu.edu\/damjanovic-lab\/wp-json\/wp\/v2\/pages\/6\/revisions"}],"predecessor-version":[{"id":424,"href":"https:\/\/sites.krieger.jhu.edu\/damjanovic-lab\/wp-json\/wp\/v2\/pages\/6\/revisions\/424"}],"wp:attachment":[{"href":"https:\/\/sites.krieger.jhu.edu\/damjanovic-lab\/wp-json\/wp\/v2\/media?parent=6"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}