CSMB Secretary James Davie participates in an IUBMB meeting in Kuala Lumpur

IUBMB executive committee

James Davie attended a meeting of the International Union of Biochemistry and Molecular Biochemistry (IUBMB), which took place August 19-22 in Kuala Lumpur, Malaysia.  He brought his knowledge of CSMB to meetings of the IUBMB executive committee in his capacity as IUBMB General Secretary.

One of my IUBMB activities will be to link Trainee Committees that are active in the societies affiliated with IUBMB. So this is an international effort. The goal is to help establish a trainee committee to those societies that do not have one, and second see if we can form a IUBMB international trainee committee.

-James Davie

The CSMB executive and trainee committees look forward to working with the CSMB to promote the careers of trainees around the world.

Advocating for research funding – Evidence for Democracy – CSMB collaboration

The CSMB is collaborating with Evidence for Democracy – E4D to ensure that all CSMB members have tools to help them understand the importance of science-informed policy making and to connect with their elected representatives.
E4D has prepared two very useful documents on how to connect with your representative (Connecting with Reps – Toolkit), and a specific brief for the 2019 elections (2019_Federal_Election_Brief).  We invite you to read both documents, and also to view a training webinar CSMB organized with E4D in September 2018 – below.
Stay connected to CSMB for more materials to come from E4D later in the summer relating to connecting directly with candidates.

Webinar: The Antibody Crisis: Leveraging machine learning for evidence-based antibody search

BenchSciThe CSMB-SCBM trainee committee is partnering with BenchSci for a special webinar.
The “reproducibility crisis” has generated much attention in the research community over the past years. While the issue is multifaceted at its core, rogue antibodies have been identified as one of the major culprits.

To ensure scientists can find antibodies that have been proven to work repeatedly by peers, we developed an open-access resource that uses a machine learning algorithm to screen the literature and identify which and how antibodies have been cited. The resulting peer-reviewed data are searchable by protein targets or product identifier and are filterable by experimental contexts as cited in papers, including technique, tissue, cell line, to help users pinpoint antibodies that have been published under experimental conditions matching their study interest.

Wednesday May 15th 2pm EDT

A recording of this webinar is available here:

Freely accessible resource for academic scientists at https://landing.benchsci.com/academic