BAGIM is an active community of Boston area scientists bringing together people from diverse fields of modeling and informatics to impact life and health sciences. BAGIM strives to create a forum for great scientific discussions covering a wide range of topics including data management, visualization, computational chemistry, drug discovery, protein structure, molecular modeling, structure-based drug design, data mining, software tools, and the sharing of goals and experiences. Our community is made up of participants from academia, government, and industry whose goal is to engage in the discussion of science involving a synthesis of theory and technology. Discussions sponsored by BAGIM are targeted to the needs and interests of informatics scientists, computational chemists, medicinal chemists, and statisticians. BAGIM also provides opportunities for networking within these disciplines as well as an arena for the dissemination of information of specific interest to the membership.

Friday, December 15, 2017

BAGIM Event: Dr. Douglas Selinger at Merck in Boston Thursday Jan 11 2018 starting at 6pm

Dr. Douglas Selinger, CEO of Plex Research, will present "A search for cures: Chemical biology data analysis using search algorithms" on January 11th, 2018. The presentation will start at 6pm at the Merck Research Laboratories at 33 Avenue Louis Pasteur in Boston. Please arrive a few minutes early. Networking and refreshments will be after the talk in the same location.

Please RSVP for this meeting


We can find web sites. We can find restaurant reviews. Yet our scientific data and algorithms are buried in databases and spread across incompatible sources. Why not build a search engine for science?

Search engine algorithms, originally designed to make sense of interconnected web pages, can be repurposed to analyze linked data of all kinds. At Plex we’ve developed a search engine which incorporates chemical similarity (e.g. 2D/3D fingerprints), biological fingerprints (e.g. transcriptional profiling), and machine learning approaches. We’ve pointed this engine at a large corpus of publicly available data, including: compounds, targets, pathways, biomarkers, ADME, toxicity, diseases, patents, publications, and more. The results are powerful, yet simple.

Come join us to learn more as we explore the uses of search engine algorithms in drug discovery.

BAGIM is sponsored by Accenture, Dassault Systemes, DNASTAR, OpenEye Scientific, Schrodinger, Silicon Therapeutics, Acellera, Acpharis, Cambridge Crystallographic Data Centre, Chemical Computing Group, Dotmatics, Cresset, Cyrus Biotechnology, Optibrium, Team Arrayo, and Scilligence