Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

17

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

17 results for “DMPC”

Learn how ShareScore rates datasets ↗
zenodo40/100

Configurations and parameters for DMPC and DMTAP lipids and their mixtures

<p><strong>Configurations</strong> containing cationic (charge: +1) DMTAP and DMPC lipids, water and neutralizing ions (when necessary) at 50 C for the following systems:</p> <ol> <li>Pure DMPC: 128 lipids (all DMPC, 0 Cl ions) and 3655 waters. File: dmpc128_20ns.pdb</li> <li>6% DMTAP: 128 lipids (120 DMPC, 8 DMTAP, 8 Cl ions) and 3647 waters. File: tap06_20ns.pdb</li> <li>16% DMTAP: 128 lipids (108 DMPC, 20 DMTAP, 20 Cl ions) and 3635 waters</li> <li>25% DMTAP: 128 lipids (96 DMPC, 32 DMTAP, 32 Cl ions) and 3623 waters</li> <li>31% DMTAP: 128 lipids (88 DMPC, 40 DMTAP, 40 Cl ions) and 3615 waters</li> <li>39% DMTAP: 128 lipids (78 DMPC, 50 DMTAP, 50 Cl ions) and 3605 waters</li> <li>50% DMTAP: 128 lipids (64 DMPC, 64 DMTAP, 64 Cl ions) and 3591 waters</li> <li>63% DMTAP: 128 lipids (48 DMPC, 80 DMTAP, 80 Cl ions) and 3575 waters</li> <li>75% DMTAP: 128 lipids (32 DMPC, 96 DMTAP, 96 Cl ions) and 3559 waters</li> <li>89% DMTAP: 128 lipids (14 DMPC, 114 DMTAP, 114 Cl ions) and 3541 waters</li> <li>Pure DMTAP: 128 lipids (all DMTAP, 128 Cl ions) and 3527 waters: File: dmtap128_24ns.pdb</li> </ol> <p>Simulation time for each system is shown in the file name.</p> <p><strong>Parameter files are: </strong>dmpc.itp and dmtap.itp. The file lipid.itp is also needed (these are Berger lipids). Download lipid.itp from <a href="http://wcm.ucalgary.ca/tieleman/downloads">http://wcm.ucalgary.ca/tieleman/downloads</a></p> <p><strong>The PDF file</strong> (TablePDB.pdf ) contains a summary of the systems with area per lipid and error.</p> <p><strong>References:</strong></p> <ol> <li><a href="http://www.biophysj.org/cgi/content/abstract/86/6/3461">Cationic DMPC/DMTAP Lipid Bilayers: Molecular Dynamics Study</a>, Gurtovenko, Patra, Karttunen, Vattulainen, Biophys. J. 86, 3461-3472 (2004).</li> <li><a href="http://dx.doi.org/10.1021/jp053667m">Effect of Monovalent Salt on Cationic Lipid Membranes As Revealed by Molecular Dynamics Simulations</a>, A. A. Gurtovenko, M. Miettinen, M. Karttunen, and I. Vattulainen J. Phys. Chem. B 109, 21126-21134 (2005).</li> <li><a href="http://dx.doi.org/10.1021/jp810233q">Ion Dynamics in Cationic Lipid Bilayer Systems in Saline Solutions</a>, M.S. Miettinen, A.A. Gurtovenko, I. Vattulainen, and M. Karttunen, J. Phys. Chem. B 113, 9226-9234 (2009).</li> </ol> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Mar 2019View details →
zenodo40/100

MD simulations of bOG:DMPC in CHARMM36 force field

<p>CHARMM-GUI based series of simulations of beta-octyl-D-glucopyranoside (b-OG) mixed with DMPC at different dilutions. bOG:DMPC mol ratios are 1:1, 1:2, and 2:3. The only change in the force field was changing atom names from 2H2 to H2 in BOG residue to allow **gmx grompp** to recognize protons as protons when setting up constraints for bonds with hydrogens.</p> <p>Simulations are performed in highly hydrated state. I can name it "more than 50 water per two acyl chains"; "water per lipid" measure doesn't work here because bOG has just a single hydrocarbon tail.</p> <p>Trajectory length: 500 ns (20 ps step). T = 303 K.&nbsp;</p> <p>In this version we add *znd files where atom names are unique (changed in a new version of BOG.itp).</p>

opencc-by-4.0Oct 2024View details →
zenodo36/100

MD simulation trajectory and related files for DMPC bilayer, Högberg et al, J.Comp.Chem., 29, 2359 (2008)

<p>MD simulation trajectory and related files for DMPC bilayer, from paper: C.J.H&ouml;gberg, A.M,Nikitin, A.P.Lyubartsev, J.Comp.Chem., 29, 2359 (2008)</p> <p>25ns( excluded) + 55 ns trajectory<br /> T=303K, 98 lipids + 2700 H2O<br /> software: MDynaMix v 5.0</p> <p>Relevant files:</p> <p>md.input&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : main MD input file</p> <p>dmpc_2008.mmol&nbsp; :&nbsp; lipid topology/force field file<br /> H2O.mmol&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; :&nbsp; SPC water</p> <p>order.in&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : Input for the analysis utility to extract order parameters</p> <p>Trajectory files:</p> <p>dmpc_NewMod.250 - dmpc_NewMod.849</p> <p>Most of files contain 100 frames taken with 1 ps interval</p>

opencc-zeroMar 2015View details →
zenodo36/100

Molecular dynamics simulation trajectory of a fully hydrated DMPC lipid bilayer

<p><strong>System:&nbsp;</strong>DMPC (dimyristoylphosphatidylcholine)&nbsp;bilayer in water.</p> <p><strong>Number of lipids:&nbsp;</strong>128.<br> <strong>Number of waters:</strong>&nbsp;5097.</p> <p><strong>Lipid model:</strong>&nbsp;&#39;Berger&#39; united-atom [<em>Biophys. J.</em>&nbsp;<strong>72</strong>&nbsp;2002 (1997)].<br> <strong>Water model:</strong>&nbsp;SPC [In&nbsp;<em>Intermolecular Forces,</em>&nbsp;ed. Pullman. 331 (1981)].</p> <p><strong>Simulation engine:</strong>&nbsp;Gromacs 3.x [www.gromacs.org]</p> <p><strong>Trajectory length:</strong>&nbsp;110 ns.<br> <strong>Previously equilibrated for:</strong>&nbsp;20 ns.<br> <strong>Sampling rate:</strong>&nbsp;every 10 ps.</p> <p><strong>Time integration step:</strong>&nbsp;2 fs.</p> <p><strong>Thermodynamic ensemble:</strong>&nbsp;NpT.&nbsp;<br> <strong>Temperature coupling:</strong>&nbsp;&#39;Berendsen&#39; [<em>J. Chem. Phys.</em>&nbsp;<strong>81</strong>&nbsp;3684 (1984)] with lipids and water coupled separately at T = 323 K.<br> <strong>Pressure coupling: &#39;</strong>Berendsen&#39; [<em>J. Chem. Phys.</em>&nbsp;<strong>81</strong>&nbsp;3684 (1984)] with xy and z coupled separately at p = 1.0 bar.</p> <p><strong>Electrostatics:&nbsp;</strong>PME [<em>J. Chem. Phys.</em>&nbsp;<strong>98</strong>&nbsp;10089 (1993);&nbsp;<em>J. Chem. Phys.</em>&nbsp;<strong>103</strong>&nbsp;8577 (1995)], real-space cutoff at 1.0 nm.<br> <strong>Van der Waals:</strong>&nbsp;Truncated at 1.0 nm.</p> <p><strong>Constraints:&nbsp;</strong>Covalent bond lengths in lipids using LINCS [<em>J. Comput. Chem.</em>&nbsp;<strong>18</strong>&nbsp;1463 (1997)], in water using SETTLE [J. Comput. Chem.&nbsp;<strong>13</strong>&nbsp;952 (1992)].</p> <p><strong>Used in publications:&nbsp;</strong>[1]&nbsp;Markus S. Miettinen, Andrey A. Gurtovenko, Ilpo Vattulainen, and Mikko Karttunen: &quot;Ion Dynamics in Cationic Lipid Bilayer Systems in Saline Solutions&quot;.&nbsp;<em>J. Phys. Chem. B</em>&nbsp;<strong>113</strong>&nbsp;9226 (2009). DOI:&nbsp;10.1021/jp810233q. [2] Markus S. Miettinen: &quot;Computational Modeling of Cationic Lipid Bilayers in Saline Solutions&quot;. PhD Thesis.&nbsp;Aalto University School of Science and Technology, Helsinki, Finland. (2010). ISBN&nbsp;978-952-60-3194-1.</p>

opencc-by-4.0Dec 2012View details →
zenodo36/100

200 ns simulation of a DMPC bilayer using Gromos 53A6 + Berger lipids

<p><strong>MD simulation of a DMPC bilayer: 200 ns </strong></p> <ul> <li>Gromos 53A6 force field and Berger lipids (lipid.itp)</li> <li>128 DMPC lipids and 3655 SPC waters. Total number of atoms: 16853.</li> <li>This simulation: 200 ns. The systems was equilibrated for 52 ns before this run.</li> <li>Simulation details: <ul> <li>Temperature: 323 K</li> <li>Times step: 2 fs</li> <li>V-rescale thermostat, Parrinello-Rahman barostat, P-LINCS for constraints</li> <li>The run was done using a laptop with GTX980M. Performance: ~105ns/day</li> </ul> </li> <li>Area per lipid and thickness (P-P distance) are provided.</li> </ul>

opencc-by-4.0Mar 2019View details →
zenodo36/100

OpenMM simulations of DMPC using the CHARMM Drude2023 force field

<p>The&nbsp;dataset contains a PSF, a formatted coordinate file (CRD), and DCD files with the final 200 ns from<br> each of 3 replicate simulations from the paper</p> <p><br> <strong>Drude Polarizable Lipid Force Field with Explicit Treatment of LongRange Dispersion:<br> Parametrization and Validation for Saturated and Monounsaturated Zwitterionic Lipids</strong><br> Yalun Yu, Richard M. Venable, Jonathan Thirman, Payal Chatterjee, Anmol Kumar, Richard W. Pastor,*<br> Beno&icirc;t Roux,* Alexander D. MacKerell, Jr.,* and Jeffery B. Klauda*<br> https://doi.org/10.1021/acs.jctc.3c00203</p> <p>DCD file names indicate the lipid, replica number, and the time point of the final coordinate set in the file&nbsp; Each file has 50 ns of data, with coordinate sets spaced at 10 ps between frames.</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

All-atomic simulation of DMPC bilayer with PME and with RFZ

<p>We have performed simulations of DMPC&nbsp;to check&nbsp;if the <strong>reaction-field-zero</strong> mode of calculating electrostatics is a good substitute for PME if we want to avoid PME for some reasons (e.g. for stress calculations). We started this simulation from the configuration deposited by Matti Javanainen (10.5281/zenodo.6943413). We performed two simulations of about 500 ns with the same protocol but&nbsp;at 313 K. Protocol for reaction-field-zero is supplemented as well. POPE simulated with the same RFZ protocol is deposited in a separate dataset (10.5281/zenodo.8435138).</p>

opencc-by-4.0Oct 2023View details →
zenodo32/100

MD simulation of DMPC bilayer with CHARMM36 force field. 20 w/l

<p>MD simulation of DMPC bilayer with CHARMM36 force field. 20 w/l.</p> <p>Dataset contains simulation files including trajectories (.xtc) (original production.xtc, and equilibrated and centered centered_pbcmol-20-500ns.xtc).</p> <p>System: DMPC bilayer in water</p> <p>Number of lipids: 200 (100/leaflet)</p> <p>Number of waters: 4000</p> <p>Simulation time: 500 ns</p> <p>Simulation engine: GROMACS 2019.5</p> <p>Temperature: 314 K</p>

opencc-by-4.0Apr 2024View details →
zenodo32/100

MD simulation of DMPC bilayer with CHARMM36 force field. 10 w/l.

<p>MD simulation of DMPC bilayer with CHARMM36 force field. 10 w/l.</p> <p>Dataset contains simulation files including trajectories (.xtc) (original production.xtc, and equilibrated and centered centered_pbcmol-50-500ns.xtc).</p> <p>System: DMPC bilayer in water</p> <p>Number of lipids: 200 (100/leaflet)</p> <p>Number of waters: 2000</p> <p>Simulation time: 500 ns</p> <p>Simulation engine: GROMACS 2019.5</p> <p>Temperature: 314 K</p>

opencc-by-4.0Apr 2024View details →
zenodo32/100

MD simulation of DMPC bilayer with CHARMM36 force field. Full hydration

<p>MD simulation of DMPC bilayer with CHARMM36 force field. Full hydration</p> <p>Dataset contains simulation files including trajectories (.xtc) (original production.xtc, and equilibrated and centered ).</p> <p>System: DMPC bilayer in water</p> <p>Number of lipids: 200 (100/leaflet)</p> <p>Number of waters: 10000</p> <p>Simulation time: 500 ns</p> <p>Sampling rate: every 10 ps</p> <p>Simulation engine: GROMACS 2019.5</p> <p>Temperature: 314 K</p>

opencc-by-4.0Apr 2024View details →
zenodo32/100

MD simulation of DMPC bilayer with CHARMM36 force field. 5 w/l.

<p>MD simulation of DMPC bilayer with CHARMM36 force field. 5 w/l.</p> <p>Dataset contains simulation files including trajectories (.xtc) (original production.xtc, and equilibrated and centered centered_pbcmol-20-500ns.xtc).</p> <p>System: DMPC bilayer in water</p> <p>Number of lipids: 200 (100/leaflet)</p> <p>Number of waters: 1000</p> <p>Simulation time: 1000 ns</p> <p>Simulation engine: GROMACS 2019.5</p> <p>Temperature: 314 K</p>

opencc-by-4.0Apr 2024View details →
zenodo32/100

OpenMM simulations of DMPC using the CHARMM Drude2023 force field in xtc format

<p>The dataset contains a PSF, a formatted coordinate file (CRD), and XTC files with the final 200 ns from<br> each of 3 replicate simulations from the paper</p> <p><br> <strong>Drude Polarizable Lipid Force Field with Explicit Treatment of LongRange Dispersion:<br> Parametrization and Validation for Saturated and Monounsaturated Zwitterionic Lipids</strong><br> Yalun Yu, Richard M. Venable, Jonathan Thirman, Payal Chatterjee, Anmol Kumar, Richard W. Pastor,*<br> Beno&icirc;t Roux,* Alexander D. MacKerell, Jr.,* and Jeffery B. Klauda*<br> https://doi.org/10.1021/acs.jctc.3c00203</p> <p>XTC file names indicate the lipid and the replica number;&nbsp;each file has frames spaced at 10 ps over a 200 ns interval.</p> <p>The DCD sub-files in <span>10.5281/zenodo.7872767</span> have been concatenated into a single 200 ns long trajectory in xtc format by Batuhan Kav using MDAnalysis.</p>

opencc-by-4.0May 2023View details →
zenodo28/100

MD simulation of DMPC bilayer with OPLS4 force field. 5 w/l.

Open the record for dataset details and reuse information.

opencc-by-4.0Apr 2024View details →
zenodo28/100

MD simulation of DMPC bilayer with OPLS4 force field. 10 w/l.

Open the record for dataset details and reuse information.

opencc-by-4.0Apr 2024View details →
zenodo28/100

MD simulation of DMPC bilayer with OPLS4 force field. 20 w/l.

Open the record for dataset details and reuse information.

opencc-by-4.0Apr 2024View details →
zenodo28/100

MD simulation of DMPC bilayer with OPLS4 force field. Full hydration.

Open the record for dataset details and reuse information.

opencc-by-4.0Apr 2024View details →
zenodo8/100

Simulations of a DMPC membrane with embedded cholesterol or rhodopsin

<p>Contain either 1 rhodopsin protein or 2&nbsp;cholesterol molecules (1 per leaflet). 500 ns.</p> <p>Simulation at either 310 K (when explicitly mentioned) or 298 K (when not explicitly mentioned).</p> <p>The simulations at 298 K are in the ripple/gel phase.</p>

restrictedJan 2020View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated datasets

Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record