Data · dataset · 2024
Molecular Dynamics Simulation Data and Analysis Workflow for Studying Bivalent Ligand Binding to the Guanidine-II Riboswitch
Listed in RADAR and RADAR4Memory — shown once because both records carry DOI 10.48606/ftbvhsagfodmhotv
The underlying study focused on ligand binding of bivalent ligands to the guanidine-II riboswitch.
Description
The dataset was generated using MD simulations and Machine Learning (ML) algorithms and contains the following directories and data: 1. simulation_data: Molecular Dynamics (MD) simulation trajectory data to replicate the analysis presented in the associated publication. 2. processed_data: Python code, a Python coding environment file, and a processed data file to replicate the dimensionality reduction and clustering workflow used in the associated publication. 3. sim_prep_example: Setup data and force field files to replicate the corresponding MD simulation data.
See the README file for a more detailed description of content and technical instructions for this dataset.
Links
Where it is published
- DOI doi.org/10.48606/ftbvhsagfodmhotv ↗
DOI / persistent id · from radar service eu de
Catalogue records · 1
- OAI-PMH record radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=oai_dc&identifier… ↗
metadata API · from radar service eu de
Topics
- From keywords
- Chemistry · Chemistry · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Life Sciences · Life Sciences · Machine learning · Machine learning
- Inferred from text
- Simulation 75%
Provenance · 2 source records, 16 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| RADAR | 10.48606/fTBvhsaGfoDmhOTV | 13 d ago | JSON v1 |
| RADAR4Memory | 10.48606/fTBvhsaGfoDmhOTV | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].anzsrc:group:4611 | mapping · radar service eu de | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].anzsrc:group:4611 | mapping · radar4memory radar service eu | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].local:field:chemistry | mapping · radar4memory radar service eu | connector:radar4memory_radar_service_eu@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · radar4memory radar service eu | connector:radar4memory_radar_service_eu@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · radar4memory radar service eu | connector:radar4memory_radar_service_eu@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · radar4memory radar service eu | connector:radar4memory_radar_service_eu@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · radar service eu de | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | /metadata/dc/description |
| license | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | /metadata/dc/rights |
| publication_date | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| title | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | /metadata/dc/title |