Andrew Leduc (@_andrewleduc) 's Twitter Profile
Andrew Leduc

@_andrewleduc

Post-doc @slavovlab
Interests:
Quantifying / explaining non-coding protein sequences
Protein degradation
Single cell analysis

ID: 1230178422715899905

linkhttp://andrew-leduc.github.io calendar_today19-02-2020 17:12:55

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Andrew Leduc (@_andrewleduc) 's Twitter Profile Photo

Funny quote from a conversation with a friend at lunch who accidentally took an interview from a biotech company founded by a 20 year old Thiel fellow: "Silicon valley didn't learn from Elizabeth Holmes, they actively doubled down."

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

“Inaccurate energetics are evidenced by the inability of AlphaFold3 sampling to reproduce experimentally derived ensembles. Physics-based evaluation identified system-wide limitations in AlphaFold’s ability to make physically accurate predictions.” biorxiv.org/content/10.110…

Anshul Kundaje (anshulkundaje@bluesky) (@anshulkundaje) 's Twitter Profile Photo

Practically useful & biologically aligned benchmarks such as this one from Peter Koo lab consistently show that all the overhyped annotation-agnostic DNA language models are actually terrible for transcriptional regulatory DNA in humans (mammals). 1/

Josh Welch (@labwelch) 's Twitter Profile Photo

Prof. Nikolai Slavov This is a really interesting study. It would be really interesting to try estimating protein translation and protein degradation rates. Have you thought about this?

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

Josh Welch Andrew Andrew Leduc talked about measuring protein synthesis and degradation rates in single cells at Single-Cell Proteomics Conference: youtu.be/adkY6txDyqs?si… We are working on writing up these results soon, and will be happy to share the data with you.

Anshul Kundaje (anshulkundaje@bluesky) (@anshulkundaje) 's Twitter Profile Photo

For biological data, if you don't have deep expertise in this low value work called data cleaning, u r lacking a fundamental understanding of the idiosyncrasies of the data. Without this knowledge, it is impossible to seriously model data.

Anshul Kundaje (anshulkundaje@bluesky) (@anshulkundaje) 's Twitter Profile Photo

Ryan Morey Possibly. I wanted to simply clarify that in compbio the fundamental problem is often the opposite - that early researchers don't spend enough time wrangling, understanding & sanitizing raw data

Mo Khalil (@mokhalillab) 's Twitter Profile Photo

We traveled to DC to talk to Congressional Staffers about the impact of NIH NIBIB funding. It enables us to develop synthetic biology tools to advance cell & genetic medicines for patients in need. REPOST to deliver the message that SCIENCE saves lives & makes America great!

We traveled to DC to talk to Congressional Staffers about the impact of <a href="/NIH/">NIH</a> <a href="/NIBIBgov/">NIBIB</a> funding. It enables us to develop synthetic biology tools to advance cell &amp; genetic medicines for patients in need. REPOST to deliver the message that SCIENCE saves lives &amp; makes America great!
Mitch Guttman (@mitchguttman) 's Twitter Profile Photo

Many proteins bind RNA, yet we still don’t know what RNAs most bind because methods map one RBP at a time. In Cell, with the Jovanovic lab, we describe SPIDR – a method for mapping the RNA binding sites of dozens of RBPs in a single experiment. sciencedirect.com/science/articl…

Many proteins bind RNA, yet we still don’t know what RNAs most bind because methods map one RBP at a time. In <a href="/CellCellPress/">Cell</a>, with the Jovanovic lab, we describe SPIDR – a method for mapping the RNA binding sites of dozens of RBPs in a single experiment. sciencedirect.com/science/articl…
Derek Thompson (@dkthomp) 's Twitter Profile Photo

One lesson of DOGE is that a lot of federal govt spending is sent to old ppl (social security, Medicare) and affluent individuals/orgs (defense, health spending) but the spending with the highest “lives saved per dollar spent” tends to go to v poor people or to scientists working

Dr. Jean Fan (@jefworks) 's Twitter Profile Photo

In this interview, I explain how university research, when funded by independent #NIH #NSF federal grants, brings oversight to biotech to fuel innovation while keeping science transparent, reliable, and in service of the public good: hub.jhu.edu/2025/07/30/jea… #ResearchMatters

Max Kozlov 🇺🇦 (@maxdkozlov) 's Twitter Profile Photo

The NIH budget would INCREASE by $400m — not slashed by 40%, as Trump proposed — in a proposal by Senate appropriators, says Sen Murray. "Some have asked if there will even be an NIH by [2029]. The commmittee's resounding message is yes—Congress has your back", she says.

jack morris (@jxmnop) 's Twitter Profile Photo

people arent gonna wanna hear this but i truly do not believe this mistake could’ve been made by someone with a phd. after going through brutal peer review several times you just stop doing stuff like this. whoever made this graph clearly has a bachelors degree. maybe a masters

Anshul Kundaje (anshulkundaje@bluesky) (@anshulkundaje) 's Twitter Profile Photo

Never cease to be funny that hypers & grifters confuse or pretend that technological capabilities that could be robustly implemented in 30 years can be successfully deployed today.

Eric Kernfeld (@ekernf01) 's Twitter Profile Photo

"Tabular data" didn't make sense to me as a category. Images or text are generated in a pretty specific way, but you can put anything in a table. These points about common properties have helped me understand why the same methods might work across different tabular datasets.