Benjie McMaster

DPhil Student at the @MRC_WIMM, interested in computational biology, bioengineering, and machine learning

[Benjie McMaster @benjie_mcmaster]

I am happy to say this work is now published in Frontiers in Immunology!

https://t.co/6EVO92VvnT

Again, I would like to thank my supervisors @hashemkoohy and @OPIGlets for their guidance and @drchristhorpe and @Jamie_Rossjohn for their collaboration on this work.

[Benjie McMaster @benjie_mcmaster]

We are excited to share our analysis of conformational changes in the TCR:pMHC-I binding interface

[ImmunoSketch @ImmunoSketch]

T cells in our body act like shape-shifting detectives, adapting to recognize and fight infections.

@benjie_mcmaster @hashemkoohy @OPIGlets @RossjohnLab @drchristhorpe @biorxiv_immuno

https://t.co/yjzOnHG1yY

[Benjie McMaster @benjie_mcmaster]

I would like to say a big thank you to @hashemkoohy and @OPIGlets for the opportunity to work on this project, as well as to @drchristhorpe and @Jamie_Rossjohn for the fantastic collaboration throughout this project

[Benjie McMaster @benjie_mcmaster]

We are excited to share our analysis of conformational changes in the TCR:pMHC-I binding interface

[bioRxiv Immunology @biorxiv_immuno]

Quantifying conformational changes in the TCR:pMHC-I binding interface https://t.co/QBDGebYIH7 #biorxiv_immuno

[Benjie McMaster @benjie_mcmaster]

All of the notebooks, code, and data for this analysis are available here: https://t.co/dYTThRAmTo

[Benjie McMaster @benjie_mcmaster]

Really excited to share the first paper from my DPhil. This perspective looks at how big breakthroughs in AI can help answer fundamental immunology questions

[Oxford Protein Informatics Group (OPIG) @OPIGlets]

OPIG-affiliated DPhil student, Benji McMaster, has written a perspective piece on the prospects for AlphaFold-like breakthroughs in immunoinformatics.

Read the article published in Nature Methods today: https://t.co/8TbGc6O8V5

[Benjie McMaster @benjie_mcmaster]

@drchristhorpe @bodleianlibs Thanks for the insightful chat Chris!

[bioRxiv @biorxivpreprint]

ZymePackNet: rotamer-sampling free graph neural network method for protein sidechain prediction https://t.co/9KwQ7n3XJR #bioRxiv

[Benjie McMaster @benjie_mcmaster]

Big thanks to the @ZymeworksInc for the great year and a half I spent with them!

[Benjie McMaster @benjie_mcmaster]

Excited for this work to come out! ZymePackNet is a rotamer library free- GNN based approach for protein side chain packing. https://t.co/3ak7hqG62G

[Benjie McMaster @benjie_mcmaster]

Absolutely a highlight of my degree @SBME_UBC. So excited to see this work come together!

[Dani Aguilar-Hidalgo @emergentcell]

@PZandstra @joelostblom Thanks to all @StemCellBioEng for support and congrats to all authors @joelostblom, Mona Siu, @benjie_mcmaster, @tmheydari, Nico Werschler, @MTewary, @PZandstra
@SBME_UBC @ubcmsl
https://t.co/860nVPz0m4

[Benjie McMaster @benjie_mcmaster]

@PZandstra @StemCellBioEng Thank you!