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2,301 to 2,310 of 2,411 Results

N-protein phi-psi.tab Feb 10, 2022 - Replication Data for: Active Site Prediction of Phosphorylated SARS-CoV-2 N-Protein Using Molecular Simulation Tabular Data - 20.1 MB - 846 Variables, 2001 Observations - UNF:6:waZeEVsr8IWiZWHJnN95kQ== data matrix containing phi and psi angles
NPS177A_Sol_ion.pdb Feb 10, 2022 - Replication Data for: Active Site Prediction of Phosphorylated SARS-CoV-2 N-Protein Using Molecular Simulation application/vnd.palm - 7.6 MB - MD5: 0ac39e744fdc0f90b059e74f1952d795 Initial structure for NAMD
NPS177A_Sol_ion.psf Feb 10, 2022 - Replication Data for: Active Site Prediction of Phosphorylated SARS-CoV-2 N-Protein Using Molecular Simulation application/x-font-linux-psf - 10.3 MB - MD5: 73203ce493f3955cc711816496631935 PSF file from NAMD simulation
NP_wb_ion .namd Feb 10, 2022 - Replication Data for: Active Site Prediction of Phosphorylated SARS-CoV-2 N-Protein Using Molecular Simulation Unknown - 7.2 KB - MD5: 961b60c57fe3dd2620404a2dca8150cf NAMD script
NP_wb_ion.psf Feb 10, 2022 - Replication Data for: Active Site Prediction of Phosphorylated SARS-CoV-2 N-Protein Using Molecular Simulation application/x-font-linux-psf - 10.3 MB - MD5: 36a4767163dcf5d7c2dda275f5144c6c PSF file from NAMD simulation
Replication Data for: Optimizing Peptide Inhibitors of SARS-Cov-2 nsp10/nsp16 Methyltransferase Predicted through Molecular Simulation and Machine Learning Jan 26, 2022 Jafri, Saleet, 2022, "Replication Data for: Optimizing Peptide Inhibitors of SARS-Cov-2 nsp10/nsp16 Methyltransferase Predicted through Molecular Simulation and Machine Learning", https://doi.org/10.13021/ORC2020/OW4T3K, George Mason University Dataverse, V1 Scripts and files needed to reproduce manuscript results.
6ZPE.pdb Jan 26, 2022 - Replication Data for: Optimizing Peptide Inhibitors of SARS-Cov-2 nsp10/nsp16 Methyltransferase Predicted through Molecular Simulation and Machine Learning application/vnd.palm - 34.7 KB - MD5: 27dad315019a2081532dfbcb27ca9200 PDB structure file with initial structure
getphi.tcl Jan 26, 2022 - Replication Data for: Optimizing Peptide Inhibitors of SARS-Cov-2 nsp10/nsp16 Methyltransferase Predicted through Molecular Simulation and Machine Learning application/x-tcl - 578 B - MD5: 67b6413cec37c10b655ca26dc4d6bcf3 TCL code to extract phi and psi angles
NSP10.conf Jan 26, 2022 - Replication Data for: Optimizing Peptide Inhibitors of SARS-Cov-2 nsp10/nsp16 Methyltransferase Predicted through Molecular Simulation and Machine Learning Plain Text - 1.3 KB - MD5: 2827536c91c50ebc66bc5b207ef5628f NAMD configuration file
NSP10_param.namd Jan 26, 2022 - Replication Data for: Optimizing Peptide Inhibitors of SARS-Cov-2 nsp10/nsp16 Methyltransferase Predicted through Molecular Simulation and Machine Learning Unknown - 732 B - MD5: ab121bdee1c16799c6f9f66fb687a521 NAMD parameter file

N-protein phi-psi.tab

Feb 10, 2022 - Replication Data for: Active Site Prediction of Phosphorylated SARS-CoV-2 N-Protein Using Molecular Simulation

Tabular Data - 20.1 MB - 846 Variables, 2001 Observations -

data matrix containing phi and psi angles

NPS177A_Sol_ion.pdb

Feb 10, 2022 - Replication Data for: Active Site Prediction of Phosphorylated SARS-CoV-2 N-Protein Using Molecular Simulation

application/vnd.palm - 7.6 MB -

Initial structure for NAMD

NPS177A_Sol_ion.psf

Feb 10, 2022 - Replication Data for: Active Site Prediction of Phosphorylated SARS-CoV-2 N-Protein Using Molecular Simulation

application/x-font-linux-psf - 10.3 MB -

PSF file from NAMD simulation

NP_wb_ion .namd

Feb 10, 2022 - Replication Data for: Active Site Prediction of Phosphorylated SARS-CoV-2 N-Protein Using Molecular Simulation

Unknown - 7.2 KB -

NAMD script

NP_wb_ion.psf

Feb 10, 2022 - Replication Data for: Active Site Prediction of Phosphorylated SARS-CoV-2 N-Protein Using Molecular Simulation

application/x-font-linux-psf - 10.3 MB -

PSF file from NAMD simulation

Replication Data for: Optimizing Peptide Inhibitors of SARS-Cov-2 nsp10/nsp16 Methyltransferase Predicted through Molecular Simulation and Machine Learning

Jan 26, 2022

Jafri, Saleet, 2022, "Replication Data for: Optimizing Peptide Inhibitors of SARS-Cov-2 nsp10/nsp16 Methyltransferase Predicted through Molecular Simulation and Machine Learning", https://doi.org/10.13021/ORC2020/OW4T3K, George Mason University Dataverse, V1

Scripts and files needed to reproduce manuscript results.

6ZPE.pdb

Jan 26, 2022 - Replication Data for: Optimizing Peptide Inhibitors of SARS-Cov-2 nsp10/nsp16 Methyltransferase Predicted through Molecular Simulation and Machine Learning

application/vnd.palm - 34.7 KB -

PDB structure file with initial structure

getphi.tcl

Jan 26, 2022 - Replication Data for: Optimizing Peptide Inhibitors of SARS-Cov-2 nsp10/nsp16 Methyltransferase Predicted through Molecular Simulation and Machine Learning

application/x-tcl - 578 B -

TCL code to extract phi and psi angles

NSP10.conf

Jan 26, 2022 - Replication Data for: Optimizing Peptide Inhibitors of SARS-Cov-2 nsp10/nsp16 Methyltransferase Predicted through Molecular Simulation and Machine Learning

Plain Text - 1.3 KB -