PMID- 31208323 OWN - NLM STAT- MEDLINE DCOM- 20190806 LR - 20200419 IS - 1471-2105 (Electronic) IS - 1471-2105 (Linking) VI - 20 IP - 1 DP - 2019 Jun 17 TI - Laboratory information management software for engineered mini-protein therapeutic workflow. PG - 343 LID - 10.1186/s12859-019-2935-x [doi] LID - 343 AB - BACKGROUND: Protein based therapeutics are one of the fastest growing classes of novel medical interventions in areas such as cancer, infectious disease, and inflammation. Protein engineering plays an important role in the optimization of desired therapeutic properties such as reducing immunogenicity, increasing stability for storage, increasing target specificity, etc. One category of protein therapeutics is nature-inspired bioengineered cystine-dense peptides (CDPs) for various biological targets. These engineered proteins are often further modified by synthetic chemistry. For example, candidate mini-proteins can be conjugated into active small molecule drugs. We refer to modified mini-proteins as "Optides" (Optimized peptides). To efficiently serve the multidisciplinary lab scientists with varied therapeutic portfolio research goals in a non-commercial setting, a cost effective extendable laboratory information management system (LIMS) is/was needed. RESULTS: 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. FAU - Brusniak, Mi-Youn AU - Brusniak MY AUID- ORCID: 0000-0003-3950-1614 AD - Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA, 98109, USA. mbrusnia@fredhutch.org. FAU - Ramos, Hector AU - Ramos H AD - Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA, 98109, USA. FAU - Lee, Bernard AU - Lee B AD - LabKey Software, 617 Eastlake Ave E #400, Seattle, WA, 98109, USA. FAU - Olson, James M AU - Olson JM AD - Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA, 98109, USA. LA - eng GR - S10 OD020069/OD/NIH HHS/United States PT - Journal Article DEP - 20190617 PL - England TA - BMC Bioinformatics JT - BMC bioinformatics JID - 100965194 RN - 0 (Proteins) MH - Automation MH - Humans MH - Information Management MH - *Laboratories MH - *Protein Engineering MH - Proteins/*therapeutic use MH - *Software MH - User-Computer Interface MH - Workflow PMC - PMC6580487 OTO - NOTNLM OT - HPLC/UPLC peak classification OT - LabKey software OT - Laboratory information management system OT - Protein engineering OT - Therapeutic protein COIS- None. EDAT- 2019/06/19 06:00 MHDA- 2019/08/07 06:00 PMCR- 2019/06/17 CRDT- 2019/06/19 06:00 PHST- 2019/01/16 00:00 [received] PHST- 2019/06/05 00:00 [accepted] PHST- 2019/06/19 06:00 [entrez] PHST- 2019/06/19 06:00 [pubmed] PHST- 2019/08/07 06:00 [medline] PHST- 2019/06/17 00:00 [pmc-release] AID - 10.1186/s12859-019-2935-x [pii] AID - 2935 [pii] AID - 10.1186/s12859-019-2935-x [doi] PST - epublish SO - BMC Bioinformatics. 2019 Jun 17;20(1):343. doi: 10.1186/s12859-019-2935-x.