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.
393
datasets available to search
ShareScore release 0.7.1
Dataset results
393 results for “Molecular dynamics simulations”
Datasets associated with the manuscript "Discovering SARS-CoV-2 neoepitopes and the associated TCR-pMHC recognition mechanisms by combining single-cell sequencing, deep learning, and molecular dynamics simulation techniques"
<p>meta_data_TCR-pMHC_from_STCRDab.tsv, TCR-pMHC structures used for contacts analysis.</p><p>tcr_gliph_input_sars2.tsv, input files (TCR sequences and related information) used for clustering TCRs targeting SARS-CoV-2 epitopes and epitope-unknown TCRs.</p><p>tcr_gliph_input_non-sars2.tsv, input files used for clustering TCRs targeting non-SARS-CoV-2 epitopes and epitope-unknown TCRs.</p><p>tcr_gliph_output*, output files from the GLIPH software, including the recognized TCR clusters by GLIPH (convergence-group.txt), the linkage information of TCR clusters (clone-network.txt), and the recognized motif in TCR clusters (kmer.txt).</p><p>md_trajs.tar, structures and MD simulation trajectories of TCR-614-pMHC and TCR-204-pMHC complexes.</p>
Molecular dynamics simulations of BmGtsf1L peptide interacting with eTD1 of BmVreteno
<p>AF-eTD1 of BmVreteno and the ten last residues of BmGtsf1L.</p><p>GRO file and files for 10 simulations runs. Processed XTC files. </p>
Molecular dynamics initialization files to reproduce simulations in "Anillin-Related Mid1 as an Adaptive and Multimodal Contractile Ring Anchoring Protein: A Simulation Study"
<p>Molecular dynamics initialization files to reproduce simulations in "Anillin-Related Mid1 as an Adaptive and Multimodal Contractile Ring Anchoring Protein: A Simulation Study" by Aaron R. Hall, Yeol Kyo Choi, Wonpil Im, and Dimitrios Vavylonis, Structure (2024) https://doi.org/10.1016/j.str.2023.11.010</p>
A LA-BTC MOF AS A SENSOR ELEMENT OF AN ELECTRONIC NOSE FOR SELECTIVE ADSORPTION OF BIOMARKERS OF DISEASES: MOLECULAR DYNAMICS SIMULATIONS OF ADSORPTION
<p>The MD trajectories calculated for all the La-BTC MOF-biomarker simulation systems </p>
Dissecting the chiral recognition of TLR4/MD2 with Neoseptin-3 enantiomers by molecular dynamics simulations
Open the record for dataset details and reuse information.
Dynamic profiling and binding affinity prediction of NBTI antibacte-rials against DNA gyrase enzyme by multidimensional machine learning and molecular dynamics simulations
<p>The chemical libraries used in this study comprised of 199 and 133 structurally diverse novel bacterial topoisomerase inhibitors (<em>alias</em> NBTIs), with experimentally determined <em>in vitro</em> antibacterial potencies against <em>Staphylococcus aureus</em> DNA gyrase (IC<sub>50</sub>=0.007-50 µM) and <em>Escherichia coli</em> DNA gyrase (IC<sub>50</sub>=0.020-100 µM), respectively (named as NBTI<em><sub>SA</sub></em> and NBTI<em><sub>EC</sub></em>), were compiled from the literature as *.sdf file format. The chemical structures comprising both NBTI libraries were initially sketched by using ChemDraw Professional 20.1.1 suite and subsequently energetically minimized utilizing Discovery Studio’s integrated Merck Molecular Force Field (MMFF) module. Moreover 4D ligands ensembles of both libraries ready to be used for multidimensional QSAR modeling are available, as well.</p>
Figure 4 from: Ha T-K-Q, Pham-Khanh N-H, Nguyen T-K (2024) Molecular docking screening, dynamics simulations, ADMET, and semi-synthesis prediction of flavones and flavonols from the COCONUT database as potent bifunctional neuraminidase inhibitors. Pharmacia 71: 1-10. https://doi.org/10.3897/pharmacia.71.e114967
Figure 4 Number of HBs and RMSD between N1-H274Y-oseltamivir protein (PDB ID: 3CL0) with three flavones 428, 581, and 864 (Fig. A–C, respectively) during dynamic simulation time 500 ns.
Figure 5 from: Ha T-K-Q, Pham-Khanh N-H, Nguyen T-K (2024) Molecular docking screening, dynamics simulations, ADMET, and semi-synthesis prediction of flavones and flavonols from the COCONUT database as potent bifunctional neuraminidase inhibitors. Pharmacia 71: 1-10. https://doi.org/10.3897/pharmacia.71.e114967
Figure 5 The proposed semi-synthesis of compound 864. (i) Column chromatography (70% EtOH: 18.64 mg.g−1) (ii) ClCH2COCl, K2CO3, DCM, rt, 8–24h; (iii) K2CO3/KI, acetone, reflux, 25–30 h.
Figure 2 from: Ha T-K-Q, Pham-Khanh N-H, Nguyen T-K (2024) Molecular docking screening, dynamics simulations, ADMET, and semi-synthesis prediction of flavones and flavonols from the COCONUT database as potent bifunctional neuraminidase inhibitors. Pharmacia 71: 1-10. https://doi.org/10.3897/pharmacia.71.e114967
Figure 2 2D interaction diagrams and 3D molecular docking of N1-H274Y-oseltamivir protein (PDB ID: 3CL0) with four flavones 428, 581, 864, and 948 (A–D, respectively) and two flavonols 162 and 218, (E, F, respectively).
Figure 3 from: Ha T-K-Q, Pham-Khanh N-H, Nguyen T-K (2024) Molecular docking screening, dynamics simulations, ADMET, and semi-synthesis prediction of flavones and flavonols from the COCONUT database as potent bifunctional neuraminidase inhibitors. Pharmacia 71: 1-10. https://doi.org/10.3897/pharmacia.71.e114967
Figure 3 3D molecular docking of bifunctional N inhibitor (compound 864) binding into the sialic acid binding cavity and the 430-cavity through the unique arginine triad Arg118-Arg292-Arg371 of N1-H274Y-oseltamivir protein (PDB ID: 3CL0).
Figure 1 from: Ha T-K-Q, Pham-Khanh N-H, Nguyen T-K (2024) Molecular docking screening, dynamics simulations, ADMET, and semi-synthesis prediction of flavones and flavonols from the COCONUT database as potent bifunctional neuraminidase inhibitors. Pharmacia 71: 1-10. https://doi.org/10.3897/pharmacia.71.e114967
Figure 1 Procedure of molecular docking screening and molecular dynamics of flavones and flavonols from COCONUT database.
Supplementary material 1 from: Ha T-K-Q, Pham-Khanh N-H, Nguyen T-K (2024) Molecular docking screening, dynamics simulations, ADMET, and semi-synthesis prediction of flavones and flavonols from the COCONUT database as potent bifunctional neuraminidase inhibitors. Pharmacia 71: 1-10. https://doi.org/10.3897/pharmacia.71.e114967
Supporting data
Exploring Conformational Landscapes and Binding Mechanisms of Convergent Evolition for the SARS-CoV-2 Spike Omicron Variant Complexes with the ACE2 Receptor Using AlphaFold2-Based Structural Ensembles and Molecular Dynamics Simulations
Open the record for dataset details and reuse information.
Multiresolution molecular dynamics simulations reveal the interplay between conformational variability and functional interactions in membrane-bound cytochrome 2B4
<p>This dataset contains coordinate files, scripts and input parameters to run and analyse molecular dynamics simulations of membrane bound CYP 2B4.</p> <p> </p> <p>The associated study is described in: </p> <p>data - containes input data & last simulation frames for all of the described MD simulations and analyses described in the manuscript</p> <p>Structures_used_for_figures - contains .pdb and .pse files of all protein structures depicted in the manuscript</p>
source data for "Dissecting the role of hydroxyl moiety at C14 in (+)-opioid based TLR4 antagonists via wet-lab experiments and molecular dynamics simulations"
Open the record for dataset details and reuse information.
In silico molecular docking and molecular dynamic simulation of agarwood compounds with molecular targets of Alzheimer's disease
<p>We added Supplementary Figure 8a.</p>
Figure 7 from: Shoman ME, Abd El-Hafeez AA, Khobrani M, Assiri AA, Al Thagfan SS, Othman EM, Ibrahim ARN (2022) Molecular docking and dynamic simulations study for repurposing of multitarget coumarins against SARS-CoV-2 main protease, papain-like protease and RNA-dependent RNA polymerase. Pharmacia 69(1): 211-226. https://doi.org/10.3897/pharmacia.69.e77021
Figure 7 2D poses of (A) Mesuol; (B) Isomesuol; (C) suksdorphin; (D) Calanolide; docked into the active site of SARS-CoV-2 main protease (PDB: 5rh4).
Figure 6 from: Shoman ME, Abd El-Hafeez AA, Khobrani M, Assiri AA, Al Thagfan SS, Othman EM, Ibrahim ARN (2022) Molecular docking and dynamic simulations study for repurposing of multitarget coumarins against SARS-CoV-2 main protease, papain-like protease and RNA-dependent RNA polymerase. Pharmacia 69(1): 211-226. https://doi.org/10.3897/pharmacia.69.e77021
Figure 6 (A) surface map (B) 2D poses showing ligand interactions of Coumermycin docked into the active site of SARS-CoV-2 main protease (PDB: 5rh4).
Figure 12 from: Shoman ME, Abd El-Hafeez AA, Khobrani M, Assiri AA, Al Thagfan SS, Othman EM, Ibrahim ARN (2022) Molecular docking and dynamic simulations study for repurposing of multitarget coumarins against SARS-CoV-2 main protease, papain-like protease and RNA-dependent RNA polymerase. Pharmacia 69(1): 211-226. https://doi.org/10.3897/pharmacia.69.e77021
Figure 12 The time frame of evolution against the radius of gyration (Rg) of Coumermycin complexes with SARS-CoV-2 (A) Mpro (B) PLpro (C) RdRp, during 50 ns MD simulation.
Figure 11 from: Shoman ME, Abd El-Hafeez AA, Khobrani M, Assiri AA, Al Thagfan SS, Othman EM, Ibrahim ARN (2022) Molecular docking and dynamic simulations study for repurposing of multitarget coumarins against SARS-CoV-2 main protease, papain-like protease and RNA-dependent RNA polymerase. Pharmacia 69(1): 211-226. https://doi.org/10.3897/pharmacia.69.e77021
Figure 11 The RMSF plot of Coumermycin complex with SARS-CoV-2 (A) Mpro (B) PLpro (C) RdRp, at 50 ns simulation.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research 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.
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.
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.
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.
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.