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[Untitled]
- Source :
- International Journal of Molecular Sciences.
-
Abstract
- Scientists have to perform multiple experiments producing qualitative and quantitative data to determine if a compound is able to bind to a given target. Due to the large diversity of the potential ligand chemical space, the possibility of experimentally exploring a lot of compounds on a target rapidly becomes out of reach. Scientists therefore need to use virtual screening methods to determine the putative binding mode of ligands on a protein and then post-process the raw docking experiments with a dedicated scoring function in relation with experimental data. Two of the major difficulties for comparing docking predictions with experiments mostly come from the lack of transferability of experimental data and the lack of standardisation in molecule names. Although large portals like PubChem or ChEMBL are available for general purpose, there is no service allowing a formal expert annotation of both experimental data and docking studies. To address these issues, researchers build their own collection of data in flat files, often in spreadsheets, with limited possibilities of extensive annotations or standardisation of ligand descriptions allowing cross-database retrieval. We have conceived the dockNmine platform to provide a service allowing an expert and authenticated annotation of ligands and targets. First, this portal allows a scientist to incorporate controlled information in the database using reference identifiers for the protein (Uniprot ID) and the ligand (SMILES description), the data and the publication associated to it. Second, it allows the incorporation of docking experiments using forms that automatically parse useful parameters and results. Last, the web interface provides a lot of pre-computed outputs to assess the degree of correlations between docking experiments and experimental data.
- Subjects :
- 0301 basic medicine
Virtual screening
Information retrieval
Computer science
Flat file database
Organic Chemistry
Experimental data
General Medicine
chEMBL
Catalysis
Chemical space
Computer Science Applications
Inorganic Chemistry
Identifier
03 medical and health sciences
030104 developmental biology
0302 clinical medicine
030220 oncology & carcinogenesis
Physical and Theoretical Chemistry
UniProt
Molecular Biology
Spectroscopy
PubChem
Subjects
Details
- ISSN :
- 14220067
- Database :
- OpenAIRE
- Journal :
- International Journal of Molecular Sciences
- Accession number :
- edsair.doi...........90ed58cf54c281077b4ba0a2b5fd8c13