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.

Saturday, August 31, 2024

Networking event and Poster Session co-hosted with Computational Medicinal Chemistry School Organizing Committee

Details

We are having October BAGIM in-person event with Computational Medicinal Chemistry School Organizing Committee.

Date: October 29, 2024 @ 4:00 PM
Location: Novartis Institutes for Biomedical Research – 250 Massachusetts Ave. Cambridge, MA 02139

4:00 PM - 6:00 PM - Reception / Social Gathering with Food & Drink

Please arrive early and promptly to get signed in and to join us for the networking event and poster session

Host: BAGIM & Computational Medicinal Chemistry School Organizing Committee

You can find out more about this event here - Computational Medicinal Chemistry School (compmedchem.org)

What:

This 3-day school is intended to narrow the gap between the methods development focused training in academia and the skillset required to be a full participant in drug discovery projects. To accomplish this, we have gathered seasoned computational drug hunters to explain not only the biology or chemistry that underlies a fundamental process/hurdle in pre-clinical drug discovery, but also how to think about addressing it from a computational perspective.

Who:
  1. Undergraduatesgraduates students or postdocs with experience in computational chemistry,computational biophysics, cheminformatics or machine learning for chemistry.
  2. Early career computational chemists/biophysicists or machine learning scientists in industry with backgrounds in methods development looking for a formal introduction to computational drug discovery
  3. Computationally-savvy medicinal chemists looking to broaden their exposure to computational methods through case studies


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