Sami Chaaban (@sami_chaaban) 's Twitter Profile
Sami Chaaban

@sami_chaaban

Postdoc in the Carter Lab at the MRC-LMB. EMBO fellow. Alumnus of the Brouhard Lab.

ID: 894966025749397504

linkhttps://github.com/sami-chaaban calendar_today08-08-2017 16:58:23

351 Tweet

424 Followers

375 Following

Carter Lab (@carter_lab) 's Twitter Profile Photo

Happy to share our new preprint: We imaged protrusions of Drosophila cells with cryoET and found filaments in the microtubule lumen. Subtomo-avg and RNAi suggest these are cofilin-bound actin (cofilactin). By @CamillaVenturaS in collab with Stephen Rogers. biorxiv.org/content/10.110…

Carter Lab (@carter_lab) 's Twitter Profile Photo

Excited to share our latest work on bioRxiv! We visualised single molecules of dynein and its cofactors live in the axon. Work by Alex Fellows in collaboration with the Wellcome Sanger Institute (Andrew Basset, Michaela Bruntraeger and Thomas Burgold) biorxiv.org/content/10.110…

Alex Fellows (@alexfellows1) 's Twitter Profile Photo

So happy to finally be able to share my post-doc work! I just want to say a massive thank you to everyone who has helped/supported me during this project.

Alex Fellows (@alexfellows1) 's Twitter Profile Photo

🚨 Registration is open for NeuroBioUK 2023 (15th Sept) 🚨 If you are interested in neuronal and glial cell biology then this is the conference for you! And York is an amazing place to visit. Deadline for talk abstracts 18th August. sites.google.com/sheffield.ac.u…

Institute for Protein Design (@uwproteindesign) 's Twitter Profile Photo

Javier M. Gonzalez We think it's the third option: three billion years of natural selection is not nearly enough time to sample even one percent of the vast protein universe. There have got to be remarkable —and useful — molecules still out there.

<a href="/_biojmg/">Javier M. Gonzalez</a> We think it's the third option: three billion years of natural selection is not nearly enough time to sample even one percent of the vast protein universe. There have got to be remarkable —and useful — molecules still out there.
Carter Lab (@carter_lab) 's Twitter Profile Photo

We're excited to share our latest study on how the lysosomal adaptor JIP3 and regulatory protein LIS1 activate dynein-dynactin. Out now on bioRxiv! Work done by Kashish Singh Clinton Lau Giulia Manigrasso in collaboration with Reto Gassmann lab. (1/6) biorxiv.org/content/10.110…

Josie Ferreira (@j0ferreira) 's Twitter Profile Photo

I've loved chatting to Freddy Frischknecht about unusual microtubules in human parasites and we've highlighted a few of our favourite curiosities in this primer (I still can't believe some parasite flagella with a 3+0 arrangement..!) cell.com/current-biolog…

I've loved chatting to <a href="/FrischknechtLab/">Freddy Frischknecht</a> about unusual microtubules in human parasites and we've highlighted a few of our favourite curiosities in this primer (I still can't believe some parasite flagella with a 3+0 arrangement..!) cell.com/current-biolog…
Sami Chaaban (@sami_chaaban) 's Twitter Profile Photo

Some simple EM processing tasks can be overly complicated, so I wrote starparser to help me out. Sharing it here in case others find it useful. For example, you can remove particles with specific orientations, among 40+ other command-line options. github.com/sami-chaaban/s…

Michal Wieczorek (@mikevvieczorek) 's Twitter Profile Photo

Happy to share the first pre-print from the lab focusing on a closed conformation of the mammalian gamma-tubulin ring complex! biorxiv.org/content/10.110…

Carter Lab (@carter_lab) 's Twitter Profile Photo

Our work on how the lysosomal adaptor JIP3, and regulator LIS1 activate the dynein motor protein is now out in Science Magazine ! science.org/doi/10.1126/sc… Many thanks to our reviewers and editor for their valuable input.

Clinton Lau (@ckylau) 's Twitter Profile Photo

AI told you so! Sami Chaaban, Giedre Ratkeviciute and I wrote a feature article in The Biochemist, focussing on usage of machine-learning in protein structure prediction: doi.org/10.1042/bio_20…. We hope it's useful for those of you wondering how to use programs such as AlphaFold!

Demis Hassabis (@demishassabis) 's Twitter Profile Photo

Thrilled to announce AlphaFold 3 which can predict the structures and interactions of nearly all of life’s molecules with state-of-the-art accuracy including proteins, DNA and RNA. Biology is a complex dynamical system so modeling interactions is crucial blog.google/technology/ai/…

Thrilled to announce AlphaFold 3 which can predict the structures and interactions of nearly all of life’s molecules with state-of-the-art accuracy including proteins, DNA and RNA. Biology is a complex dynamical system so modeling interactions is crucial blog.google/technology/ai/…
Diorge Souza (@diorge_souza) 's Twitter Profile Photo

We're thrilled to share our new preprint: "Evolutionarily Conserved Principles of ESCRT-III-Mediated Membrane Remodeling Revealed by a Two-Subunit Asgard Archaeal System." biorxiv.org/content/10.110…

Daniel Asarnow (@dabiophysicist) 's Twitter Profile Photo

As we celebrate the PDB, let's also remember the prolific but underrecognized structural biologists who contributed so much to our field, and to us personally as trainees. Scientists like UC San Francisco UCSF Biophysics legend Janet Finer-Moore, with 125 depositions from 1987 to 2024! šŸŽ‰šŸ„³

Max Jaderberg (@maxjaderberg) 's Twitter Profile Photo

Excited to share that the AlphaFold 3 model code and weights are now available for academic use. Looking forward to seeing what new research this unlocks and how the research community builds on AlphaFold 3 for scientific discoveries github.com/google-deepmin… 1/2

Diorge Souza (@diorge_souza) 's Twitter Profile Photo

Happy to share the final format of our paper on Asgard ESCRT-III and the evolution of this protein family in eukaryotes! science.org/doi/10.1126/sc…