My latest manuscript is now on BioRxiv: Evaluation of De Novo Deep Learning Models on the Protein-Sugar Interactome. where we benchmark AF3 at protein-carbohydrate docking. This work was only possible with Dr. Lei Lu, Sho Takeshita, and Jeff Gray
https://t.co/oMgK1L4jZ9
@BibekarParth@jeffreyjgray@sokrypton@RosettaCommons@Hegelrast Also, I’d like to generally thank the carbohydrate/glycobiology community at large, with a notable appreciation for the amazing DIONYSUS dataset that was constructed by Dr Aria Gheeraert and Dr @TatianaGalochk1 , which this work heavily relies on!
I’m happy to announce my latest paper has been released as a preprint on BioRxiv: Predictions from Deep Learning Propose Substantial Protein-Carbohydrate Interplay. This paper was only able to happen thanks to both @jeffreyjgray and @RonaldSchn37100
https://t.co/2qWKkPlIqH
@BibekarParth@jeffreyjgray@sokrypton Id like to thank the @RosettaCommons at large- especially Yijie Luo and @Hegelrast for providing us with their designed carbohydrate non-binder dataset (which they used to train their CLIMBS algorithm, also just published on BioRxiv!).
Today with sponsor @Embry4Delegate we launched the fight to bring justice to vulnerable road users by replacing Maryland's contributory negligence standard with a fairer one that recognizes that a human being hit by a car driver suffers more than a driver in a crash.
@pushmeet@GoogleDeepMind I find it disappointing you still holster the 20 job limit and don't allow all ligand inputs of the server itself. You've created a massive disparity between potential users and the access to perform much needed work to drive the scientific field forward.
@TatianaGalochk1 @NAR_Open @AgenceRecherche@diip_upc Congrats!!! So excited I can now cite your amazing database!!! Look forward to the future work and how everyone will be able to leverage this dataset to improve our biological understanding of protein-carbohydrate interactions!
In this paper, our contribution leveraged AlphaFold 2 and our software CAPSIF to predict the residues of these proteins that interact with carbohydrates! Very excited by this work and the possibilities of this novel dataset in the near future!
Very excited by our recent collaboration with the Schnaar Lab at Hopkins: The Human Ganglioside Interactome in Live Cells Revealed Using Clickable Photoaffinity Ganglioside Probes
https://t.co/nSmzUGf2mN
In this work, Dr. Gao-Lan Zhang and the Schnaar lab determined the interactome of cell surface proteins and a gangliosides revealing immense detail to proteome understanding of carbohydrate binding.
@ML_Chem Great work @BibekarParth! Really exciting to see the results of PeSTo applied to the world of carbohydrate binding and the improvements your model makes on ours! Look forward to seeing what future directions you take this research in!