Abstract Aiming at providing an integrated platform to accelerate global drug development with personalized medicine, Predicine Web Service (PWS) is built to enable real time project status report, interpretation of clinical impact for genomic aberrations, and novel biomarker discovery with data mining algorithms and analytics. A large-scale Predicine database is built with KnowledgeBase layer and dynamically growing genomics data layer. The KnowledBase layer integrates genome annotations, ontologies, computed variant impacts, and curated clinical implications. The dynamic genomic data layer is designed to be scalable so that both Predicine patient genomic profiles and public domain genomics data can be imported with standardized data models. A wide range of curated databases and public domain genomics profiles are integrated, including COSMIC, ClinVar, dbSNP, 1000 Genomes, ExAC, CIViC, GeneDrug KnowledgeBase, MSK IMPACT, and TCGA. Data mining algorithm and analytics are developed to enable data driven interpretation and biomarker discovery. An intuitive web interface is developed for users to select patient space with clinical and genomics criteria, to generate patient reports with ability to drill down to multi-level variant data, and to discover biomarkers leading to hypothesis of novel targets, drug response association, and combination therapy. The project management module securely communicates the status of projects and samples for pharmaceutical companies and other clients. On PWS, private domain patient data can be combined with comprehensive public domain data for comparative and comprehensive global analysis to enable precision medicine. Citation Format: Zhenyu Duan. PWS: An integrated web service platform enabling precision medicine [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2249.