{"data":{"id":"10.5061/dryad.ns1rn8q7c","type":"dois","attributes":{"doi":"10.5061/dryad.ns1rn8q7c","prefix":"10.5061","suffix":"dryad.ns1rn8q7c","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Morgenstein, Lion","nameType":"Personal","affiliation":["Bar-Ilan University"],"nameIdentifiers":[]},{"name":"Huang-Zhu, Carlos","nameType":"Personal","affiliation":["University of Wisconsin–Madison"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-4467-6462","nameIdentifierScheme":"ORCID"}]},{"name":"Yudovich, Shimon","nameType":"Personal","affiliation":["University of California, Berkeley"],"nameIdentifiers":[]},{"name":"Grupi, Asaf","nameType":"Personal","affiliation":["Bar-Ilan University"],"nameIdentifiers":[]},{"name":"Van Lehn, Reid","nameType":"Personal","affiliation":["University of Wisconsin–Madison"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-4885-6599","nameIdentifierScheme":"ORCID"}]},{"name":"Weiss, Shimon","nameType":"Personal","affiliation":["University of California, Los Angeles","Bar-Ilan University"],"nameIdentifiers":[]}],"titles":[{"title":"Simulation data and scripts from: Tunable electrostatic interactions of lipid-coated quantum dots with biological membranes"}],"publisher":"Dryad","container":{},"publicationYear":2026,"subjects":[{"subject":"FOS: Nano-technology","schemeUri":"https://web-archive.oecd.org/2012-06-15/138575-38235147.pdf","subjectScheme":"fos"},{"subject":"FOS: Medical biotechnology","schemeUri":"https://web-archive.oecd.org/2012-06-15/138575-38235147.pdf","subjectScheme":"fos"},{"subject":"FOS: Other engineering and technologies","schemeUri":"https://web-archive.oecd.org/2012-06-15/138575-38235147.pdf","subjectScheme":"fos"},{"subject":"Quantum dots","schemeUri":"https://github.com/PLOS/plos-thesaurus","subjectScheme":"PLOS Subject Area Thesaurus"},{"subject":"lipid membranes"},{"subject":"membrane adsorption"},{"subject":"Molecular dynamics","schemeUri":"https://github.com/PLOS/plos-thesaurus","subjectScheme":"PLOS Subject Area Thesaurus"},{"subject":"FACS"}],"contributors":[],"dates":[{"date":"2026-05-07T14:09:39Z","dateType":"Created"},{"date":"2026-08-22T00:05:37Z","dateType":"Submitted"},{"date":"2026-09-02T00:00:00Z","dateType":"Issued"},{"date":"2026-09-02T00:00:00Z","dateType":"Available"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsCitedBy","relatedIdentifier":"10.64898/2026.05.21.726631","relatedIdentifierType":"DOI"},{"relationType":"IsCitedBy","relatedIdentifier":"10.1021/acs.langmuir.6c03172","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["72852217060 bytes"],"formats":[],"version":"7","rightsList":[{"rights":"Creative Commons Zero v1.0 Universal","rightsUri":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc0-1.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Surface functionalization of inorganic quantum dot nanoparticles is of\n great interest in the application of these materials toward a wide range\n of biological applications where membrane interactions are critical. The\n use of amphiphilic lipids to functionalize the surfaces of quantum dots\n represents a promising alternative to produce water-soluble and\n membrane-active materials with facile tuning of the quantum dot's\n surface properties. Here, we demonstrate an experimental approach that\n yields lipid-coated quantum dots with highly tunable surface charge by\n controlling the concentration of cationic lipids during preparation.\n Through fluorescence-activated cell sorting assays, we show that these\n cationic lipid-coated quantum dots can enhance membrane interactions and\n increase membrane labeling density in live HEK293 cells. We further\n employed coarse-grained molecular dynamics simulations to model the lipid\n self-assembly process using an implicit solvent force field and\n subsequently model the adsorption of lipid-coated quantum dots to model\n membranes. Our simulations show that we can control the effective surface\n charge of lipid-coated quantum dots and influence the strength of\n adsorption to oppositely charged lipid membranes, a process that is\n mediated by the release of counterions at the quantum dot-membrane\n interface. This work supports the future development of biocompatible and\n water-soluble inorganic nanoparticles with highly tunable surfaces, and\n provides mechanistic insight into how different lipids can influence\n nanoparticle-membrane interactions at a molecular scale.\n         ","descriptionType":"Abstract"},{"description":"# Simulation data and scripts from: Tunable electrostatic interactions of\n lipid-coated quantum dots with biological membranes Dataset DOI:\n [10.5061/dryad.ns1rn8q7c](https://doi.org/10.5061/dryad.ns1rn8q7c) ##\n Description of the data and file structure This document includes\n processed data for the main simulation results in the paper \"Tunable\n electrostatic interactions of lipid-coated quantum dots with biological\n membranes\" as well as the input files and scripts required to\n reproduce the computational workflow and analyses. ### Files and variables\n #### File: lcQD.tar.gz **Description:** Contains data and scripts to\n reproduce figures from the main text. Contains files and scripts necessary\n to reproduce computational methods. Also contains data and files to for\n experimental data. ## Code/software ``` # # File structure: # lcQD/ # |__\n lcQD525\\ FACS/ : FACS Data for lcQD 525 # | |__ 180419_lcqd525\\ 1.csv :\n FACS analysis of lcQD 525 chi_dotap=20% # | |__ 180419_lcqd525\\ 2.csv :\n FACS analysis of lcQD 525 chi_dotap=30% # | |__ 180419_lcqd525\\ 3.csv :\n FACS analysis of lcQD 525 chi_dotap=40% # | |__ 180419_lcqd525\\ 4.csv :\n FACS analysis of lcQD 525 chi_dotap=50% # | |__ 180419_NO\\ QD\\ 5.csv :\n FACS analysis of unstained cell # |__ lcQD600\\ FACS/ : FACS Data for lcQD\n 600 # | |__ 25-12-18_lcqd600\\ 1.csv : FACS analysis of lcQD 600\n chi_dotap=10% # | |__ 25-12-18_lcqd600\\ 2.csv : FACS analysis of lcQD 600\n chi_dotap=30% # | |__ 25-12-18_lcqd600\\ 3.csv : FACS analysis of lcQD 600\n chi_dotap=40% # | |__ 25-12-18_lcqd600\\ 4.csv : FACS analysis of lcQD 600\n chi_dotap=50% # | |__ 25-12-18_NO\\ QD\\ 5.csv : FACS analysis of unstained\n cell # |__ FACS_VIS_chargeQD_525.m matlab script for visualization of FACS\n experiments for the 525nm QDs # |__ FACS_VIS_chargeQD.m matlab script for\n visualization of FACS experiments for the 600nm QDs # |__\n analysis_scripts/ : contains PY and SH scripts to analyze and plot data #\n | |__ dry_selfAssembly_plot_ChiSurface-vs-ChiOverall.py : python script to\n plot Chi surface as a function of Chi overall # | |__\n dry_selfAssembly_plot_ChiSurface-vs-TotalLipids.py : python script to plot\n Chi surface as a function of total number of lipids # | |__\n dry_selfAssembly_plot_sasa.py : python script to plot SASA as a function\n of total number of lipids # | |__\n wet_unbiased_adsorption_short_analyze_numberDensities.py : python script\n to calculate number densities # | |__\n wet_unbiased_adsorption_short_analyze_localDensities-stateProbabilities.py\n : python script to calculate number of species and state probabilities # |\n |__ wet_unbiased_adsorption_short_plot_numberDensities.py : python script\n to plot number densities 2D histogram # | |__\n wet_unbiased_adsorption_short_plot_stateProbabilities.py : python script\n to plot state probabilities # | |__\n wet_unbiased_adsorption_short_plot_localDensities.py : python script to\n plot number of species as a function of simulation time # |__ QD_CSZS_2nm/\n : directory for data corresponding to the 2 nm diameter QD - also applies\n to QD_CSZS_5nm (dry_self_assembly only) # |__ dry_self_assembly/ :\n directory for self-assembly simulations in implicit solvent # | |__ \u0026lt;#\n total lipids\u0026gt;_\u0026lt;# DLPC\u0026gt;DLPC_\u0026lt;# DOTAP\u0026gt;DOTAP/ : directory for\n specific lipid mixture # | |__ rep_/ : directory\n for replicate # | |__ input_files/ : directory for input files # | | |__\n analyze_lcQDExtraction.py : python script that extracts lipid-coated\n quantum dot # | |__ equil/ : directory for NVT simulation # | |__\n data_extraction.csv : data corresponding to lipid coating for extracted\n lcQD # | |__ index_extraction.ndx : index file with groups corresponding\n to extracted lcQD # | |__ index_sasa.ndx : index file with groups used in\n computing SASA # | |__ nvt.tpr : TPR file to run simulation # | |__\n nvt_centered.gro : final structure file # | |__ nvt_centered.xtc : final\n trajectory with QD centered in the simulation box # | |__ sasa_atom_QD.xvg\n : SASA computed for the QD (per atom) # | |__\n sasa_atom_QDLIPIDS-LIGANDS.xvg : SASA computed for the QD-LIPIDS and\n LIGANDS (per atom) # | |__ sasa_total_QD.xvg : SASA computed for the QD\n (total) # | |__ sasa_total_QDLIPIDS-LIGANDS.xvg : SASA computed for the\n QD-LIPIDS and LIGANDS (total) # |__ wet_unbiased_adsorption_short/ :\n directory for QD-Membrane adsorption simulations in explicit solvent # |__\n \u0026lt;# total lipids\u0026gt;_\u0026lt;# DLPC\u0026gt;DLPC_\u0026lt;# DOTAP\u0026gt;DOTAP/ :\n directory for specific lipid mixture # |__ rep_/ : directory of the replicate selected for the lcQD #\n |__ 80DOPC_20DOPG/ : directory for the biomembrane composition # |__\n pickle_data_localDensities.p : saved data for the number of species at the\n lcQD-membrane interface # |__ pickle_data_stateProbabilities.p : saved\n data for the probabilities of each state # |__\n rep_/ : directory for replicate # |__ input_files/\n : directory for input files # | |__ index.ndx : index file with groups\n used in calculating minimum distance # |__ prod/ : directory for\n production simulations # |__ analysis_mindist/ : directory for minimum\n distance calculation # | |__ LC-MEMB.xvg : data corresponding to minimum\n distance between lipid coating and membrane # |__\n pickle_data_numberDensities.p : saved data for the number density 2D\n histograms # |__ prod.tpr : TPR file to run simulation # |__\n prod_centered_translated.gro : final structure file # |__\n prod_centered_translated.xtc : final trajectory with QD centered in the\n simulation box # |__ prod_centered_translated_dry-ion.gro : final\n structure file without water # |__ prod_centered_translated_dry-ion.xtc :\n final trajectory with QD centered in the simulation box without water #\n ########################################## ### LIPID SELF-ASSEMBLY ON\n QUANTUM DOT ### ### IN IMPLICIT SOLVENT ###\n ########################################## # Move into working directory\n -- replace NP, SYSTEM, REP accordingly NP=\"QD_CSZS_5nm\"\n SYSTEM=\"500_250DLPC_250DOTAP\" REP=\"rep_0\" cd\n ${NP}/dry_self_assembly/${SYSTEM}/${REP}/equil/ # Run simulation gmx mdrun\n -v -deffnm nvt gmx trjconv -f nvt.gro -s nvt.tpr -pbc mol -center -o\n nvt_centered.gro \u0026lt;\u0026lt;\u0026lt; $'QD\\nSystem' gmx trjconv -f\n nvt.xtc -s nvt.tpr -pbc mol -center -o nvt_centered.xtc \u0026lt;\u0026lt;\u0026lt;\n $'QD\\nSystem' # Extract lcQD cd ../ python\n input_files/analyze_lcQDExtraction.py gmx trjconv -f nvt_centered.gro -s\n nvt.tpr -n index_extraction.ndx -o lcQD.gro # Generate index file for\n analyses gmx make_ndx -f nvt_centered.gro -o index_sasa.ndx \u0026lt;\u0026lt;\n INPUTS del 1-10 r QD name 1 QD r QD \u0026amp; a C5 | r DLPC DOTAP name 2\n DLPC_DOTAP_C5 r QD DLPC DOTAP name 3 QD_DLPC_DOTAP r QD \u0026amp; a C5 name 4\n C5 r QD \u0026amp; a S1 C2 C3 C4 C5 name 5 LIGANDS r DLPC DOTAP name 6\n DLPC_DOTAP q INPUTS # Analyze SASA gmx sasa -f nvt_centered.xtc -s nvt.tpr\n -n index_sasa.ndx -surface QD -probe 0.26 -ndots 4800 -oa sasa_atom_QD.xvg\n -o sasa_total_QD.xvg gmx sasa -f nvt_centered.xtc -s nvt.tpr -n\n index_sasa.ndx -surface QD_DLPC_DOTAP -output LIGANDS -probe 0.26 -ndots\n 4800 -oa sasa_atom_QDLIPIDS-LIGANDS.xvg -o sasa_total_QDLIPIDS-LIGANDS.xvg\n ########################################## ### LCQD ADSORPTION ON\n BIOMEMBRANE ### ### IN EXPLICIT SOLVENT ###\n ########################################## # Move into working directory\n -- replace NP, LC_SYSTEM, LC_REP, SYSTEM, REP accordingly\n NP=\"QD_CSZS_2nm\" LC_SYSTEM=\"500_250DLPC_250DOTAP\"\n LC_REP=\"rep_1\" SYSTEM=\"80DOPC_20DOPG\"\n REP=\"rep_0\" cd\n ${NP}/wet_unbiased_adsorption_short/${LC_SYSTEM}/${LC_REP}/${SYSTEM}/${REP}/prod/ # Run simulation gmx mdrun -v -deffnm prod gmx trjconv -f prod.gro -s prod.tpr -pbc mol -center -o prod_centered.gro \u0026lt;\u0026lt;\u0026lt; $'QD\\nSystem' gmx trjconv -f prod.xtc -s prod.tpr -pbc mol -center -o prod_centered.xtc \u0026lt;\u0026lt;\u0026lt; $'QD\\nSystem' # Translate system along z-axis if membrane crosses pbc # these output files should be named \"prod_centered_translated.gro\" and \"prod_centered_translated.xtc\" # Compute mindist cd ../ mkdir prod/analysis_mindist/ gmx mindist -f prod/prod_centered_translated.xtc -s prod/prod.tpr -n input_files/index.ndx -od prod/analysis_mindist/LC-MEMB.xvg # Data analysis and plotting (from lcQD/ directory) cd analysis_scripts/ python3 dry_selfAssembly_plot_ChiSurface-vs-ChiOverall.py ../ ./ QD_CSZS_2nm 500_450DLPC_50DOTAP 500_350DLPC_150DOTAP 500_250DLPC_250DOTAP 500_150DLPC_350DOTAP 500_50DLPC_450DOTAP python3 dry_selfAssembly_plot_ChiSurface-vs-TotalLipids.py ../ ./ QD_CSZS_2nm 500_250DLPC_250DOTAP 1000_500DLPC_500DOTAP 1500_750DLPC_750DOTAP python3 dry_selfAssembly_plot_sasa.py ../ ./ QD_CSZS_2nm 500_250DLPC_250DOTAP 1000_500DLPC_500DOTAP 1500_750DLPC_750DOTAP # Analyze densities # Uses prod_centered_translated_dry-ion.gro and prod_centered_translated_dry-ion.xtc for computational efficiency # 2 nm {'500_450DLPC_50DOTAP' : 'rep_0', '500_250DLPC_250DOTAP' : 'rep_1', '500_50DLPC_450DOTAP' : 'rep_3'} python3 wet_unbiased_adsorption_short_analyze_numberDensities.py ../ ./ QD_CSZS_2nm 500_250DLPC_250DOTAP rep_1 80DOPC_20DOPG rep_0 python3 wet_unbiased_adsorption_short_analyze_localDensities-stateProbabilities.py ../ ./ QD_CSZS_2nm 500_250DLPC_250DOTAP rep_1 80DOPC_20DOPG rep_0 rep_1 rep_2 rep_3 rep_4 rep_5 rep_6 rep_7 rep_8 rep_9 rep_10 rep_11 rep_12 rep_13 rep_14 rep_15 # Plot data python3 wet_unbiased_adsorption_short_plot_numberDensities.py ../ ./ QD_CSZS_2nm 500_250DLPC_250DOTAP rep_1 80DOPC_20DOPG rep_0 python3 wet_unbiased_adsorption_short_plot_stateProbabilities.py ../ ./ QD_CSZS_2nm 80DOPC_20DOPG 500_450DLPC_50DOTAP/rep_0 500_250DLPC_250DOTAP/rep_1 500_50DLPC_450DOTAP/rep_3 python3 wet_unbiased_adsorption_short_plot_localDensities.py ../ ./ QD_CSZS_2nm 80DOPC_20DOPG 500_450DLPC_50DOTAP/rep_0 500_250DLPC_250DOTAP/rep_1 500_50DLPC_450DOTAP/rep_3 ```","descriptionType":"TechnicalInfo"}],"geoLocations":[],"fundingReferences":[{"funderName":"European Research Council","awardNumber":"669941","funderIdentifier":"https://ror.org/0472cxd90","funderIdentifierType":"ROR"},{"funderName":"European Research Council","awardNumber":"779896","funderIdentifier":"https://ror.org/0472cxd90","funderIdentifierType":"ROR"},{"funderName":"Office of Science","awardNumber":"DE-SC0020338","funderIdentifier":"https://ror.org/00mmn6b08","funderIdentifierType":"ROR"},{"funderName":"U.S. National Science Foundation","awardNumber":"DMR-1548924","funderIdentifier":"https://ror.org/021nxhr62","funderIdentifierType":"ROR"},{"funderName":"Israel Science Foundation","awardNumber":"813/19","funderIdentifier":"https://ror.org/04sazxf24","funderIdentifierType":"ROR"},{"funderName":"Bar-Ilan Research and Development Co"},{"funderName":"Israel Innovation Authority","awardNumber":"63392","funderIdentifier":"https://ror.org/013kba371","funderIdentifierType":"ROR"},{"funderName":"University of Wisconsin–Madison","funderIdentifier":"https://ror.org/01y2jtd41","funderIdentifierType":"ROR"},{"funderName":"National Institute of General Medical Sciences","awardNumber":"T32GM152341","funderIdentifier":"https://ror.org/04q48ey07","funderIdentifierType":"ROR"},{"awardTitle":"Graduate Research Fellowship","funderName":"U.S. National Science Foundation","funderIdentifier":"https://ror.org/021nxhr62","funderIdentifierType":"ROR"},{"awardTitle":"DMR-2044997","funderName":"U.S. National Science Foundation","funderIdentifier":"https://ror.org/021nxhr62","funderIdentifierType":"ROR"}],"xml":"<?xml version="1.0" encoding="UTF-8"?>
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  <identifier identifierType="DOI">10.5061/DRYAD.NS1RN8Q7C</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Morgenstein, Lion</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/03kgsv495" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Bar-Ilan University</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Huang-Zhu, Carlos</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4467-6462</nameIdentifier>
      <affiliation affiliationIdentifier="https://ror.org/01y2jtd41" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of Wisconsin–Madison</affiliation>
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    <creator>
      <creatorName nameType="Personal">Yudovich, Shimon</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/01an7q238" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of California, Berkeley</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Grupi, Asaf</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/03kgsv495" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Bar-Ilan University</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Van Lehn, Reid</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-4885-6599</nameIdentifier>
      <affiliation affiliationIdentifier="https://ror.org/01y2jtd41" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of Wisconsin–Madison</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Weiss, Shimon</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/046rm7j60" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of California, Los Angeles</affiliation>
      <affiliation affiliationIdentifier="https://ror.org/03kgsv495" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Bar-Ilan University</affiliation>
    </creator>
  </creators>
  <titles>
    <title>
      Simulation data and scripts from: Tunable electrostatic interactions of
      lipid-coated quantum dots with biological membranes
    </title>
  </titles>
  <publisher publisherIdentifier="https://ror.org/00x6h5n95" publisherIdentifierScheme="ROR" schemeURI="https://ror.org/">Dryad</publisher>
  <resourceType resourceTypeGeneral="Dataset">dataset</resourceType>
  <publicationYear>2026</publicationYear>
  <subjects>
    <subject subjectScheme="fos" schemeURI="https://web-archive.oecd.org/2012-06-15/138575-38235147.pdf">FOS: Nano-technology</subject>
    <subject subjectScheme="fos" schemeURI="https://web-archive.oecd.org/2012-06-15/138575-38235147.pdf">FOS: Medical biotechnology</subject>
    <subject subjectScheme="fos" schemeURI="https://web-archive.oecd.org/2012-06-15/138575-38235147.pdf">FOS: Other engineering and technologies</subject>
    <subject subjectScheme="PLOS Subject Area Thesaurus" schemeURI="https://github.com/PLOS/plos-thesaurus">Quantum dots</subject>
    <subject>lipid membranes</subject>
    <subject>membrane adsorption</subject>
    <subject subjectScheme="PLOS Subject Area Thesaurus" schemeURI="https://github.com/PLOS/plos-thesaurus">Molecular dynamics</subject>
    <subject>FACS</subject>
  </subjects>
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      <funderName>European Research Council</funderName>
      <funderIdentifier funderIdentifierType="ROR">https://ror.org/0472cxd90</funderIdentifier>
      <awardNumber>669941</awardNumber>
      <awardTitle/>
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    <fundingReference>
      <funderName>European Research Council</funderName>
      <funderIdentifier funderIdentifierType="ROR">https://ror.org/0472cxd90</funderIdentifier>
      <awardNumber>779896</awardNumber>
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      <funderName>Office of Science</funderName>
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      <awardNumber>DE-SC0020338</awardNumber>
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      <funderName>U.S. National Science Foundation</funderName>
      <funderIdentifier funderIdentifierType="ROR">https://ror.org/021nxhr62</funderIdentifier>
      <awardNumber>DMR-1548924</awardNumber>
      <awardTitle/>
    </fundingReference>
    <fundingReference>
      <funderName>Israel Science Foundation</funderName>
      <funderIdentifier funderIdentifierType="ROR">https://ror.org/04sazxf24</funderIdentifier>
      <awardNumber>813/19</awardNumber>
      <awardTitle/>
    </fundingReference>
    <fundingReference>
      <funderName>Bar-Ilan Research and Development Co</funderName>
      <awardTitle/>
    </fundingReference>
    <fundingReference>
      <funderName>Israel Innovation Authority</funderName>
      <funderIdentifier funderIdentifierType="ROR">https://ror.org/013kba371</funderIdentifier>
      <awardNumber>63392</awardNumber>
      <awardTitle/>
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    <fundingReference>
      <funderName>University of Wisconsin–Madison</funderName>
      <funderIdentifier funderIdentifierType="ROR">https://ror.org/01y2jtd41</funderIdentifier>
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    <fundingReference>
      <funderName>National Institute of General Medical Sciences</funderName>
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      <awardNumber>T32GM152341</awardNumber>
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      <funderName>U.S. National Science Foundation</funderName>
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      <awardTitle>Graduate Research Fellowship</awardTitle>
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      <funderIdentifier funderIdentifierType="ROR">https://ror.org/021nxhr62</funderIdentifier>
      <awardTitle>DMR-2044997</awardTitle>
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  <dates>
    <date dateType="Created">2026-05-07T14:09:39Z</date>
    <date dateType="Submitted">2026-08-22T00:05:37Z</date>
    <date dateType="Issued">2026-09-02T00:00:00Z</date>
    <date dateType="Available">2026-09-02T00:00:00Z</date>
  </dates>
  <language>en</language>
  <relatedIdentifiers>
    <relatedIdentifier relationType="IsCitedBy" relatedIdentifierType="DOI">https://doi.org/10.64898/2026.05.21.726631</relatedIdentifier>
    <relatedIdentifier relationType="IsCitedBy" relatedIdentifierType="DOI">https://doi.org/10.1021/acs.langmuir.6c03172</relatedIdentifier>
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  <descriptions>
    <description descriptionType="Abstract">
      Surface functionalization of inorganic quantum dot nanoparticles is of
      great interest in the application of these materials toward a wide range
      of biological applications where membrane interactions are critical. The
      use of amphiphilic lipids to functionalize the surfaces of quantum dots
      represents a promising alternative to produce water-soluble and
      membrane-active materials with facile tuning of the quantum dot's
      surface properties. Here, we demonstrate an experimental approach that
      yields lipid-coated quantum dots with highly tunable surface charge by
      controlling the concentration of cationic lipids during preparation.
      Through fluorescence-activated cell sorting assays, we show that these
      cationic lipid-coated quantum dots can enhance membrane interactions and
      increase membrane labeling density in live HEK293 cells. We further
      employed coarse-grained molecular dynamics simulations to model the lipid
      self-assembly process using an implicit solvent force field and
      subsequently model the adsorption of lipid-coated quantum dots to model
      membranes. Our simulations show that we can control the effective surface
      charge of lipid-coated quantum dots and influence the strength of
      adsorption to oppositely charged lipid membranes, a process that is
      mediated by the release of counterions at the quantum dot-membrane
      interface. This work supports the future development of biocompatible and
      water-soluble inorganic nanoparticles with highly tunable surfaces, and
      provides mechanistic insight into how different lipids can influence
      nanoparticle-membrane interactions at a molecular scale.
      &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;
    </description>
    <description descriptionType="TechnicalInfo">
      # Simulation data and scripts from: Tunable electrostatic interactions of
      lipid-coated quantum dots with biological membranes Dataset DOI:
      [10.5061/dryad.ns1rn8q7c](https://doi.org/10.5061/dryad.ns1rn8q7c) ##
      Description of the data and file structure This document includes
      processed data for the main simulation results in the paper "Tunable
      electrostatic interactions of lipid-coated quantum dots with biological
      membranes" as well as the input files and scripts required to
      reproduce the computational workflow and analyses. ### Files and variables
      #### File: lcQD.tar.gz **Description:** Contains data and scripts to
      reproduce figures from the main text. Contains files and scripts necessary
      to reproduce computational methods. Also contains data and files to for
      experimental data. ## Code/software ``` # # File structure: # lcQD/ # |__
      lcQD525\ FACS/ : FACS Data for lcQD 525 # | |__ 180419_lcqd525\ 1.csv :
      FACS analysis of lcQD 525 chi_dotap=20% # | |__ 180419_lcqd525\ 2.csv :
      FACS analysis of lcQD 525 chi_dotap=30% # | |__ 180419_lcqd525\ 3.csv :
      FACS analysis of lcQD 525 chi_dotap=40% # | |__ 180419_lcqd525\ 4.csv :
      FACS analysis of lcQD 525 chi_dotap=50% # | |__ 180419_NO\ QD\ 5.csv :
      FACS analysis of unstained cell # |__ lcQD600\ FACS/ : FACS Data for lcQD
      600 # | |__ 25-12-18_lcqd600\ 1.csv : FACS analysis of lcQD 600
      chi_dotap=10% # | |__ 25-12-18_lcqd600\ 2.csv : FACS analysis of lcQD 600
      chi_dotap=30% # | |__ 25-12-18_lcqd600\ 3.csv : FACS analysis of lcQD 600
      chi_dotap=40% # | |__ 25-12-18_lcqd600\ 4.csv : FACS analysis of lcQD 600
      chi_dotap=50% # | |__ 25-12-18_NO\ QD\ 5.csv : FACS analysis of unstained
      cell # |__ FACS_VIS_chargeQD_525.m matlab script for visualization of FACS
      experiments for the 525nm QDs # |__ FACS_VIS_chargeQD.m matlab script for
      visualization of FACS experiments for the 600nm QDs # |__
      analysis_scripts/ : contains PY and SH scripts to analyze and plot data #
      | |__ dry_selfAssembly_plot_ChiSurface-vs-ChiOverall.py : python script to
      plot Chi surface as a function of Chi overall # | |__
      dry_selfAssembly_plot_ChiSurface-vs-TotalLipids.py : python script to plot
      Chi surface as a function of total number of lipids # | |__
      dry_selfAssembly_plot_sasa.py : python script to plot SASA as a function
      of total number of lipids # | |__
      wet_unbiased_adsorption_short_analyze_numberDensities.py : python script
      to calculate number densities # | |__
      wet_unbiased_adsorption_short_analyze_localDensities-stateProbabilities.py
      : python script to calculate number of species and state probabilities # |
      |__ wet_unbiased_adsorption_short_plot_numberDensities.py : python script
      to plot number densities 2D histogram # | |__
      wet_unbiased_adsorption_short_plot_stateProbabilities.py : python script
      to plot state probabilities # | |__
      wet_unbiased_adsorption_short_plot_localDensities.py : python script to
      plot number of species as a function of simulation time # |__ QD_CSZS_2nm/
      : directory for data corresponding to the 2 nm diameter QD - also applies
      to QD_CSZS_5nm (dry_self_assembly only) # |__ dry_self_assembly/ :
      directory for self-assembly simulations in implicit solvent # | |__ &lt;#
      total lipids&gt;_&lt;# DLPC&gt;DLPC_&lt;# DOTAP&gt;DOTAP/ : directory for
      specific lipid mixture # | |__ rep_&lt;replicate number&gt;/ : directory
      for replicate # | |__ input_files/ : directory for input files # | | |__
      analyze_lcQDExtraction.py : python script that extracts lipid-coated
      quantum dot # | |__ equil/ : directory for NVT simulation # | |__
      data_extraction.csv : data corresponding to lipid coating for extracted
      lcQD # | |__ index_extraction.ndx : index file with groups corresponding
      to extracted lcQD # | |__ index_sasa.ndx : index file with groups used in
      computing SASA # | |__ nvt.tpr : TPR file to run simulation # | |__
      nvt_centered.gro : final structure file # | |__ nvt_centered.xtc : final
      trajectory with QD centered in the simulation box # | |__ sasa_atom_QD.xvg
      : SASA computed for the QD (per atom) # | |__
      sasa_atom_QDLIPIDS-LIGANDS.xvg : SASA computed for the QD-LIPIDS and
      LIGANDS (per atom) # | |__ sasa_total_QD.xvg : SASA computed for the QD
      (total) # | |__ sasa_total_QDLIPIDS-LIGANDS.xvg : SASA computed for the
      QD-LIPIDS and LIGANDS (total) # |__ wet_unbiased_adsorption_short/ :
      directory for QD-Membrane adsorption simulations in explicit solvent # |__
      &lt;# total lipids&gt;_&lt;# DLPC&gt;DLPC_&lt;# DOTAP&gt;DOTAP/ :
      directory for specific lipid mixture # |__ rep_&lt;replicate number of
      selected lcQD&gt;/ : directory of the replicate selected for the lcQD #
      |__ 80DOPC_20DOPG/ : directory for the biomembrane composition # |__
      pickle_data_localDensities.p : saved data for the number of species at the
      lcQD-membrane interface # |__ pickle_data_stateProbabilities.p : saved
      data for the probabilities of each state # |__
      rep_&lt;replicate_number&gt;/ : directory for replicate # |__ input_files/
      : directory for input files # | |__ index.ndx : index file with groups
      used in calculating minimum distance # |__ prod/ : directory for
      production simulations # |__ analysis_mindist/ : directory for minimum
      distance calculation # | |__ LC-MEMB.xvg : data corresponding to minimum
      distance between lipid coating and membrane # |__
      pickle_data_numberDensities.p : saved data for the number density 2D
      histograms # |__ prod.tpr : TPR file to run simulation # |__
      prod_centered_translated.gro : final structure file # |__
      prod_centered_translated.xtc : final trajectory with QD centered in the
      simulation box # |__ prod_centered_translated_dry-ion.gro : final
      structure file without water # |__ prod_centered_translated_dry-ion.xtc :
      final trajectory with QD centered in the simulation box without water #
      ########################################## ### LIPID SELF-ASSEMBLY ON
      QUANTUM DOT ### ### IN IMPLICIT SOLVENT ###
      ########################################## # Move into working directory
      -- replace NP, SYSTEM, REP accordingly NP="QD_CSZS_5nm"
      SYSTEM="500_250DLPC_250DOTAP" REP="rep_0" cd
      ${NP}/dry_self_assembly/${SYSTEM}/${REP}/equil/ # Run simulation gmx mdrun
      -v -deffnm nvt gmx trjconv -f nvt.gro -s nvt.tpr -pbc mol -center -o
      nvt_centered.gro &lt;&lt;&lt; $'QD\nSystem' gmx trjconv -f
      nvt.xtc -s nvt.tpr -pbc mol -center -o nvt_centered.xtc &lt;&lt;&lt;
      $'QD\nSystem' # Extract lcQD cd ../ python
      input_files/analyze_lcQDExtraction.py gmx trjconv -f nvt_centered.gro -s
      nvt.tpr -n index_extraction.ndx -o lcQD.gro # Generate index file for
      analyses gmx make_ndx -f nvt_centered.gro -o index_sasa.ndx &lt;&lt;
      INPUTS del 1-10 r QD name 1 QD r QD &amp; a C5 | r DLPC DOTAP name 2
      DLPC_DOTAP_C5 r QD DLPC DOTAP name 3 QD_DLPC_DOTAP r QD &amp; a C5 name 4
      C5 r QD &amp; a S1 C2 C3 C4 C5 name 5 LIGANDS r DLPC DOTAP name 6
      DLPC_DOTAP q INPUTS # Analyze SASA gmx sasa -f nvt_centered.xtc -s nvt.tpr
      -n index_sasa.ndx -surface QD -probe 0.26 -ndots 4800 -oa sasa_atom_QD.xvg
      -o sasa_total_QD.xvg gmx sasa -f nvt_centered.xtc -s nvt.tpr -n
      index_sasa.ndx -surface QD_DLPC_DOTAP -output LIGANDS -probe 0.26 -ndots
      4800 -oa sasa_atom_QDLIPIDS-LIGANDS.xvg -o sasa_total_QDLIPIDS-LIGANDS.xvg
      ########################################## ### LCQD ADSORPTION ON
      BIOMEMBRANE ### ### IN EXPLICIT SOLVENT ###
      ########################################## # Move into working directory
      -- replace NP, LC_SYSTEM, LC_REP, SYSTEM, REP accordingly
      NP="QD_CSZS_2nm" LC_SYSTEM="500_250DLPC_250DOTAP"
      LC_REP="rep_1" SYSTEM="80DOPC_20DOPG"
      REP="rep_0" cd
      ${NP}/wet_unbiased_adsorption_short/${LC_SYSTEM}/${LC_REP}/${SYSTEM}/${REP}/prod/ # Run simulation gmx mdrun -v -deffnm prod gmx trjconv -f prod.gro -s prod.tpr -pbc mol -center -o prod_centered.gro &lt;&lt;&lt; $'QD\nSystem' gmx trjconv -f prod.xtc -s prod.tpr -pbc mol -center -o prod_centered.xtc &lt;&lt;&lt; $'QD\nSystem' # Translate system along z-axis if membrane crosses pbc # these output files should be named "prod_centered_translated.gro" and "prod_centered_translated.xtc" # Compute mindist cd ../ mkdir prod/analysis_mindist/ gmx mindist -f prod/prod_centered_translated.xtc -s prod/prod.tpr -n input_files/index.ndx -od prod/analysis_mindist/LC-MEMB.xvg # Data analysis and plotting (from lcQD/ directory) cd analysis_scripts/ python3 dry_selfAssembly_plot_ChiSurface-vs-ChiOverall.py ../ ./ QD_CSZS_2nm 500_450DLPC_50DOTAP 500_350DLPC_150DOTAP 500_250DLPC_250DOTAP 500_150DLPC_350DOTAP 500_50DLPC_450DOTAP python3 dry_selfAssembly_plot_ChiSurface-vs-TotalLipids.py ../ ./ QD_CSZS_2nm 500_250DLPC_250DOTAP 1000_500DLPC_500DOTAP 1500_750DLPC_750DOTAP python3 dry_selfAssembly_plot_sasa.py ../ ./ QD_CSZS_2nm 500_250DLPC_250DOTAP 1000_500DLPC_500DOTAP 1500_750DLPC_750DOTAP # Analyze densities # Uses prod_centered_translated_dry-ion.gro and prod_centered_translated_dry-ion.xtc for computational efficiency # 2 nm {'500_450DLPC_50DOTAP' : 'rep_0', '500_250DLPC_250DOTAP' : 'rep_1', '500_50DLPC_450DOTAP' : 'rep_3'} python3 wet_unbiased_adsorption_short_analyze_numberDensities.py ../ ./ QD_CSZS_2nm 500_250DLPC_250DOTAP rep_1 80DOPC_20DOPG rep_0 python3 wet_unbiased_adsorption_short_analyze_localDensities-stateProbabilities.py ../ ./ QD_CSZS_2nm 500_250DLPC_250DOTAP rep_1 80DOPC_20DOPG rep_0 rep_1 rep_2 rep_3 rep_4 rep_5 rep_6 rep_7 rep_8 rep_9 rep_10 rep_11 rep_12 rep_13 rep_14 rep_15 # Plot data python3 wet_unbiased_adsorption_short_plot_numberDensities.py ../ ./ QD_CSZS_2nm 500_250DLPC_250DOTAP rep_1 80DOPC_20DOPG rep_0 python3 wet_unbiased_adsorption_short_plot_stateProbabilities.py ../ ./ QD_CSZS_2nm 80DOPC_20DOPG 500_450DLPC_50DOTAP/rep_0 500_250DLPC_250DOTAP/rep_1 500_50DLPC_450DOTAP/rep_3 python3 wet_unbiased_adsorption_short_plot_localDensities.py ../ ./ QD_CSZS_2nm 80DOPC_20DOPG 500_450DLPC_50DOTAP/rep_0 500_250DLPC_250DOTAP/rep_1 500_50DLPC_450DOTAP/rep_3 ```
    </description>
  </descriptions>
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