Nuclear magnetic resonance (NMR) is a versatile technique for studying proteins and other biological molecules in a wide variety of different conditions. However, the field is predominantly confined to academia with the result that commercial software packages are not geared towards its needs and are usually inadequate for the data analysis required. There is thus a rich tradition of academics writing their own software but this brings its own pitfalls and downsides. Following nearly 20 years of working on a wide variety of different protein NMR projects, Dr. Higman joined the Collaborative Computational Project for NMR (CCPN). Their goal is to develop high-quality, user-friendly software for academics, enable easy movement of data between different software packages and collaborate with other academics developing new data analysis tools. As well as describing the challenges and successes of this work, Dr. Higman will showcase some of CCPN’s latest software. The presentation will be followed by Q & A.
Zoom link to be shared with attendees the day of the event.
Our Distinguished Panelist