Laboratory information management software for engineered mini-protein therapeutic workflow.
Mi-Youn BrusniakHector RamosBernard LeeJames M OlsonPublished in: BMC bioinformatics (2019)
We have developed a LIMS named Optide-Hunter for a generalized engineered protein compounds workflow that tracks entities and assays from creation to preclinical experiments. The implementation and custom modules are built using LabKey server, which is an Open Source platform for scientific data integration and analysis. Optide-Hunter contains a compound registry, in-silico assays, high throughput production, large-scale production, in vivo assays and data extraction from a specimen-tracking database. It is used to store, extract, and view data for various therapeutics projects. Optide-Hunter also includes external processing stand-alone software (HPLCPeakClassifierApp) for automated chromatogram classification. The HPLCPeakClassifierApp is used for pre-processing of HPLC data prior to loading to Optide-Hunter. The custom implementation is done using data transformation modules in R, SQL, javascript, and java and is Open Source to assist new users in customizing it for their unique workflows. Instructions for exploring a deployed version of Optide-Hunter can be found at https://www.labkey.com/case%20study/optide-hunter CONCLUSION: The Optide-Hunter LIMS system is designed and built to track the process of engineering, producing and prioritizing protein therapeutic candidates. It can be easily adapted and extended for use in small or large research laboratories where multidisciplinary scientists are collaborating to engineer compounds for potential therapeutic or protein science applications. Open Source exploration of Optide-Hunter can help any bioinformatics scientist adapt, extend, and deploy an equivalent system tailored to each laboratory's workflow.
Keyphrases
- high throughput
- electronic health record
- big data
- protein protein
- data analysis
- machine learning
- quality improvement
- healthcare
- primary care
- amino acid
- deep learning
- small molecule
- ms ms
- binding protein
- public health
- oxidative stress
- single cell
- emergency department
- stem cells
- health information
- simultaneous determination
- solid phase extraction
- smoking cessation