About BAGIM

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.

Wednesday, April 22, 2020

BAGIM (Virtual) Event: COVID-19 Panel

On April 30 at 7PM, BAGIM (the Boston Area Group for Informatics & Modeling) will be holding a virtual panel discussion covering open science and accessible tools with a focus on the search for COVID19 therapies. This global crisis has galvanized researchers around the world towards open, cooperative research. Resources such as CPU clusters enabling long timescale molecular dynamic simulations, machine trained retrosynthetic analyses to help pick realistic molecules, and structural biology results released as soon as they are refined are available to help apply decades of science and the imagination and skills of thousands to this world problem. If you wish to contribute but don’t know how, or simply wish to better understand the open science behind this global effort, we invite you to attend this first virtual BAGIM meeting. Please do not publicize or share the Zoom links. Attendees are asked to keep microphones on mute. We suggest using the ‘speaker’ view to follow the discussion from our panel.

Questions/comments will be moderated for our panel via the Zoom chat function.

To mark this first venture into BAGIM online events, we will be doing a ‘virtual selfie’ of the meeting at the end of the event so have your laptop camera & virtual backgrounds at the ready.

BAGIM April Online (Zoom) Event: Open Science and the COVID19 efforts

When: Apr 30, 2020 07:00 PM Eastern Time (US and Canada)

You must register in advance for this meeting. Please see the BAGIM Meetup for more information.

In lieu of the social hour that BAGIM normally runs we will be making a donation to Restaurant Strong, a Massachusetts charity supporting restaurant workers.

BAGIM greatly appreciates the continued support of our corporate sponsors.

Our panelists are:

Rommie Amaro - UCSD Professor, Computational Chemist & Biophysicist, Multiscale modeler

Rommie E. Amaro is a professor of chemistry and biochemistry and the director of the National Biomedical Computation Resource at the University of California, San Diego. Her research focuses on development of computational methods in biophysics for applications to drug discovery. She recently co-authored an open letter in J.Chem. Info & Model signed by 200 scientists to openly share MD methods and results on covid19 related proteins. https://en.wikipedia.org/wiki/Rommie_Amaro

Aled Edwards - Professor, University of Toronto

Professor at U. Toronto with cross appointments to Oxford and McGill, Senior Ashoka Fellow, Director of the Structural Genomics Consortium. Aled has published over 200 papers and his teams have contributed over 4,000 structures into the Protein Data Bank. Aled is a pioneer of open science and has founded several drug discovery companies with open science principles, including Affinium and M4K Pharma. Most recently, the SGC has partnered with READDI to help prepare for future pandemics. https://en.wikipedia.org/wiki/Aled_Edwards

Michael LeVine - Senior Scientist DE Shaw Research

Michael is a member of the Chemistry, Biology, and Drug Discovery team at D. E. Shaw Research, where his work focuses on macromolecular complexes and the mechanisms by which their association can be modulated. Prior to joining D. E. Shaw Research, Michael was a faculty in the Institute for Computational Biomedicine and the Department of Physiology and Biophysics at Weill Medical College of Cornell University.

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