{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/115315"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/115315","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Efficient modeling of DNA translocations and ionic currents using coarse-grained molecular dynamics simulation and finite-element modeling","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled &#x27;Open Access&#x27;. The submission was exported from vireo on 2022-11-11 without embargo terms","abstract_has_math":false,"creators":["Choudhary, Adnan"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Physics","degree_department":null,"school":null,"contributors":["Aksimentiev, Aleksei","Song, Jun","Cooper, Stephen L","Kim, Sangjin"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-05","date_published":"2022-05","updated_at":"2026-07-22T22:24:54Z","subjects":["Physics"],"languages":["en","eng"],"rights":["Copyright 2021 Adnan Choudhary"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/115315","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Aksimentiev, Aleksei","Song, Jun","Cooper, Stephen L","Kim, Sangjin"]},{"key":"dc:creator","label":"Author","values":["Choudhary, Adnan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-05","2021-12-20"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Physics"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Physics"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2021 Adnan Choudhary"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/115315"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms","The student, Adnan Choudhary, accepted the attached license on 2021-12-15 at 17:20.","The student, Adnan Choudhary, submitted this Dissertation for approval on 2021-12-15 at 17:41.","This Dissertation was approved for publication on 2021-12-20 at 08:59.","DSpace SAF Submission Ingestion Package generated from Vireo submission #17461 on 2022-11-11 at 13:03:52","Nanopore sensing is a biophysical analysis technique with wide-ranging applications from DNA and protein sequencing to DNA data storage. While the ionic current signals measured by this technique are useful, their complexity makes interpreting them diﬃcult. For this reason, all-atom and coarse-grained molecular dynamics simulations have been used to relate microscopic translocation details to the experimentally measured ionic current signals. However, traditional coarse-grained simulations don’t predict ionic current signals with atomic resolution, and the usefulness of traditional all-atom simulation is lessened by stringent length and time scale limitations. Here, we perform coarse-grained simulations of DNA translocation through large (100 nm to 1 µm) nanofabricated systems. The transport is driven by an electrostatic proﬁle computed beforehand using continuum modeling. We incorporate the eﬀect of DNA on the conductivity of the simulation volume and employ ﬁnite element modeling to calculate the ionic current signals produced by the DNA translocation. We illustrate this method by simulating translocation of DNA through a variety of geometries, including solid-state nanopores, a nanolit, and nanocapillaries. We conﬁrm expected DNA conformations during these translocations, and further identify new con-formations that aid in interpreting experimental results. The electric currents computed by our method demonstrate good quantitative agreement with experiment, and also reveal nanoscopic mechanisms for experimentally observed phenomena. The methodology employed here represents a new approach to quickly and cheaply simulate large scale systems that are inaccessible to all-atom molecular dynamics simulations. The sensitivity of the current estimates to ﬁne details of the DNA motion suggests that these tools could be helpful in guiding experiments. In particular, it may be desirable to use the methodology presented here to check if an experimental system is likely to produce interesting results. Or, it may be used to ﬁne tune parameters in simulation before committing to a particular design in experiment. Lastly, the computational eﬃciency of this approach allows researchers without access to supercomputing resources to make valuable contributions to the ﬁeld."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Efficient modeling of DNA translocations and ionic currents using coarse-grained molecular dynamics simulation and finite-element modeling"]}]}],"canonical_facts":{"dc:contributor":["Aksimentiev, Aleksei","Song, Jun","Cooper, Stephen L","Kim, Sangjin"],"dc:creator":["Choudhary, Adnan"],"dc:date":["2022-05","2021-12-20"],"dc:description":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms","The student, Adnan Choudhary, accepted the attached license on 2021-12-15 at 17:20.","The student, Adnan Choudhary, submitted this Dissertation for approval on 2021-12-15 at 17:41.","This Dissertation was approved for publication on 2021-12-20 at 08:59.","DSpace SAF Submission Ingestion Package generated from Vireo submission #17461 on 2022-11-11 at 13:03:52","Nanopore sensing is a biophysical analysis technique with wide-ranging applications from DNA and protein sequencing to DNA data storage. While the ionic current signals measured by this technique are useful, their complexity makes interpreting them diﬃcult. For this reason, all-atom and coarse-grained molecular dynamics simulations have been used to relate microscopic translocation details to the experimentally measured ionic current signals. However, traditional coarse-grained simulations don’t predict ionic current signals with atomic resolution, and the usefulness of traditional all-atom simulation is lessened by stringent length and time scale limitations. Here, we perform coarse-grained simulations of DNA translocation through large (100 nm to 1 µm) nanofabricated systems. The transport is driven by an electrostatic proﬁle computed beforehand using continuum modeling. We incorporate the eﬀect of DNA on the conductivity of the simulation volume and employ ﬁnite element modeling to calculate the ionic current signals produced by the DNA translocation. We illustrate this method by simulating translocation of DNA through a variety of geometries, including solid-state nanopores, a nanolit, and nanocapillaries. We conﬁrm expected DNA conformations during these translocations, and further identify new con-formations that aid in interpreting experimental results. The electric currents computed by our method demonstrate good quantitative agreement with experiment, and also reveal nanoscopic mechanisms for experimentally observed phenomena. The methodology employed here represents a new approach to quickly and cheaply simulate large scale systems that are inaccessible to all-atom molecular dynamics simulations. The sensitivity of the current estimates to ﬁne details of the DNA motion suggests that these tools could be helpful in guiding experiments. In particular, it may be desirable to use the methodology presented here to check if an experimental system is likely to produce interesting results. Or, it may be used to ﬁne tune parameters in simulation before committing to a particular design in experiment. Lastly, the computational eﬃciency of this approach allows researchers without access to supercomputing resources to make valuable contributions to the ﬁeld."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/115315"],"dc:language":["en","eng"],"dc:rights":["Copyright 2021 Adnan Choudhary"],"dc:subject":["Physics"],"dc:title":["Efficient modeling of DNA translocations and ionic currents using coarse-grained molecular dynamics simulation and finite-element modeling"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Physics"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:54Z"}