Yihao Zhang (@tomaszhang4482) 's Twitter Profile
Yihao Zhang

@tomaszhang4482

MD/PhD. Transcription and translation regulation, molecular oncology, bioinformatics

ID: 798150511232811009

calendar_today14-11-2016 13:08:05

71 Tweet

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Prof. Nikolai Slavov (@slavov_n) 's Twitter Profile Photo

A protein regulates its RNA. As nascent tubulin polypeptides emerge from the ribosome exit tunnel, they are recognized by TTC5, which ultimately leads to RNA degradation. How common is this mechanism ? How many proteins regulate their transcripts ?

A protein regulates its RNA.

As nascent tubulin polypeptides emerge from the ribosome exit tunnel, they are recognized by TTC5, which ultimately leads to RNA degradation.

How common is this mechanism ?

How many proteins regulate their transcripts ?
Prof. Nikolai Slavov (@slavov_n) 's Twitter Profile Photo

The DDX3X-DDX3Y example is particularly interesting as it illustrates balancing the abundance of homologous proteins. x.com/slavovLab/stat…

Elliot Hershberg (@elliothershberg) 's Twitter Profile Photo

What a week. Biology is crazy. Toxic gene creation: doi.org/10.1126/scienc… Discovery of Obelisks: biorxiv.org/content/10.110… Fanzor mechanisms: doi.org/10.1016/j.cell…

Serafim Batzoglou (@s_batzoglou) 's Twitter Profile Photo

Without taking any credit away from Hassabis, Jumper and Baker, someone who did not receive deserved credit by the Nobel is Jinbo Xu. He is the first to develop the deep learning algorithm that essentially was reimplemented/enhanced in the original AlphaFold. He should have won

Without taking any credit away from Hassabis, Jumper and Baker, someone who did not receive deserved credit by the Nobel is Jinbo Xu.

He is the first to develop the deep learning algorithm that essentially was reimplemented/enhanced in the original AlphaFold. He should have won
Kresten Lindorff-Larsen (@lindorfflarsen) 's Twitter Profile Photo

Sören, Giulio & I wrote a short review on the use of machine learning methods to study disordered proteins, with a focus on linking sequences to ensembles (by simulation or generative models; or for design), biophysical properties and biological functions doi.org/10.48550/arXiv…

Sören, Giulio & I wrote a short review on the use of machine learning methods to study disordered proteins, with a focus on linking sequences to ensembles (by simulation or generative models; or for design), biophysical properties and biological functions

doi.org/10.48550/arXiv…
Kresten Lindorff-Larsen (@lindorfflarsen) 's Twitter Profile Photo

The ability to model both folded domains and disordered regions in condensates means that we can now begin to use CALVADOS simulations to ask how and why the condensate environment changes folding stability

The ability to model both folded domains and disordered regions in condensates means that we can now begin to use CALVADOS simulations to ask how and why the condensate environment changes folding stability
Anand Srivastava (@mbuanand) 's Twitter Profile Photo

pubs.acs.org/doi/full/10.10… Very chuffed to see this out in JCIM & JCTC Journals!! CGFF of full length FUS, hnRNPA1, TDP-43, G3BP1, TIA-1, Poly UBQ, HIV GAG and more. Wonderful experience working with KrishnaKanth B . Thanks Kresten Lindorff-Larsen Mittal Group @TAMU Debayan Chakraborty for discussions.

pubs.acs.org/doi/full/10.10…
Very chuffed to see this out in <a href="/JCIM_JCTC/">JCIM & JCTC Journals</a>!! CGFF of full length FUS, hnRNPA1, TDP-43, G3BP1, TIA-1, Poly UBQ, HIV GAG and more. Wonderful experience working with <a href="/KrishnaKanthbio/">KrishnaKanth B</a> .  Thanks <a href="/LindorffLarsen/">Kresten Lindorff-Larsen</a> <a href="/JeetainMittal/">Mittal Group @TAMU</a> <a href="/debayanbiophys/">Debayan Chakraborty</a> for discussions.
David Kuster (@rnadavid) 's Twitter Profile Photo

Why are so many proteins hyper-phosphorylated during mitosis? Well, phosphorylation renders individual proteins more soluble & disrupts protein-protein interactions. So global hyper-phosphorylation may 𝐟𝐥𝐮𝐢𝐝𝐢𝐳𝐞 the cytoplasm - to mechanically aide cell division.

Kresten Lindorff-Larsen (@lindorfflarsen) 's Twitter Profile Photo

Two recent preprints from a great collaboration with Rasmus Hartmann-Petersen's lab on mapping degrons in (1) 5,000 human cytosolic proteins and (2) 1,600 human transcription factors 1: doi.org/10.1101/2025.0… 2: doi.org/10.1101/2025.0…

Two recent preprints from a great collaboration with Rasmus Hartmann-Petersen's lab on mapping degrons in (1) 5,000 human cytosolic proteins and (2) 1,600 human transcription factors

1: doi.org/10.1101/2025.0…
2: doi.org/10.1101/2025.0…
Prof. Nikolai Slavov (@slavov_n) 's Twitter Profile Photo

Transcriptional over-expression of genes coding for ribosomal proteins does not elevate protein levels. Protein levels remain stable because the excess subunits are degraded. Inhibition of the proteasome leads to the accumulation of insoluble aggregates.

Transcriptional over-expression of genes coding for ribosomal proteins does not elevate protein levels.

Protein levels remain stable because the excess subunits are degraded.

Inhibition of the proteasome leads to the accumulation of insoluble aggregates.
Christine Mayr (@mayr_christine) 's Twitter Profile Photo

More than 2700 3′UTRs are highly conserved. These 3′UTRs are essential components in mRNA templates, as their deletion decreases protein activity without changing protein abundance. Highly conserved 3′UTRs help the folding of proteins with long IDRs. biorxiv.org/content/10.110…