Yang Shen
@structbioinf
Educator and Researcher in Artificial Intelligence - Biological Intelligence Tweets are my own. RTs are not endorsements.
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Today CZI is announcing an unprecedented new scientific initiative to build the future of AI-powered biology. I am joining CZI to lead this initiative as Head of Science, and the EvolutionaryScale team is joining forces with Biohub. This is the first large scale scientific…
We are #hiring for Postdoctoral Associate in AI4Science at Texas A&M University. Message me if you're interested in joining our team. We are attending Conference on Neural Information Processing Systems (NeurIPS 2024) if you would like to meet! #NeurIPS2024
This paper was a collaborative effort from @marinkazitnik @_michellemli @aydin_wells @GysiDeisy @compbiologist @t_m_murali @pedjagogue @sroyyors @BaudotAnais @bozdags @kapil_devkota_ @anthonygitter @sargoshoe @piehiram @Meng_CS @ziynet_ @koyuturkm @jmuiuc @xanderpico…
Just published: "Current and future directions in network biology", a comprehensive review by leading experts in the field! Read it here: doi.org/10.1093/bioadv… #NetworkBiology #ISCB
.@bozdags, Byung-Jun Yoon, @structbioinf, & I led the section on Machine Learning on Networks w/ contributions from Ziynet Nesibe Kesimoglu & @haiyuanyu. Thanks to @marinkazitnik for tons of input.
Taking a Deep Dive into Chemical Space, a symposium at #ACSfall2023 biosolveit.de/2023/06/23/acs…
biosolveit.de
ACS Fall Symposium "Taking a Deep Dive into Chemical Space" • BioSolveIT
We are pleased to announce an upcoming ACS symposium that will delve into the exploration of chemical spaces. This symposium is set to take place during
It’s great to be back at MPI after almost five years, see many familiar faces again, and hearing great science progress in modeling of protein interactions! #MPI2023
70 years ago on the day of Apr. 25, a short but revolutionary paper was published. nature.com/articles/17173… Let's keep in mind the historic contributions from Watson, Crick, Rosalind Franklin and others. Happy National DNA Day!
Finally, after ~6 years of work, this is published! genomebiology.biomedcentral.com/articles/10.11… Thanks to all my co-authors and the participants of the challenge for seeing this through.
At the beginning of 2018 at an @ENCODE_NIH meeting, the idea for the ENCODE Imputation Challenge was born: an open contest to predict genome-wide genomics experiments given fixed train/test sets and encourage development of large-scale imputation methods. warning: drama 🧵 1/
It's frustrating reading comp bio articles these days because many keep falling into the same pitfalls. Hard to know if the method actually works, or whether they messed up the evaluation. Here are some issues I've seen recently (w/o names):
11 ways ChatGPT saves me hours of work every day, and why you'll never outcompete those who use AI effectively. A list for those who write code: 1 of 16
Multimodal learning of noncoding variant effects using genome sequence and chromatin structure biorxiv.org/cgi/content/sh… #biorxiv_bioinfo
In two new papers we have found that the ESM2 language model generalizes beyond natural proteins, and enables programmable generation of complex and modular protein structures.
Great pleasure to introduce a new study on single sequence protein structure prediction rdcu.be/c1Ubu and share my views rdcu.be/c1UbO ! @SpringerNature @NatComputSci
News & Views by Yang Shen nature.com/articles/s4358… 👉rdcu.be/c1UbO
Great perspective on the field of protein structure prediction since #AlphaFold 2 and the winning solutions at #CASP15.
My take on the last year of Protein structure prediction up and including #CASP15 comments are welcome. [2212.07702] Protein Structure Prediction until CASP15 arxiv.org/abs/2212.07702
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