Great perspective on the field of protein structure prediction since #AlphaFold 2 and the winning solutions at #CASP15.

Great pleasure to introduce a new study on single sequence protein structure prediction rdcu.be/c1Ubu and share my views rdcu.be/c1UbO ! Springer Nature Nature Computational Science

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.

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

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):

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.

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!

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

Taking a Deep Dive into Chemical Space, a symposium at #ACSfall2023 biosolveit.de/2023/06/23/acs…

.Serdar Bozdag, Byung-Jun Yoon, Yang Shen, & I led the section on Machine Learning on Networks w/ contributions from Ziynet Nesibe Kesimoglu & Haiyuan Yu. Thanks to Marinka Zitnik for tons of input.

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

This paper was a collaborative effort from Marinka Zitnik Michelle M. Li (李敏蕊) Aydin Wells Deisy Gysi, PhD Arjun Krishnan T. M. Murali Predrag Radivojac Sushmita Roy @sroyyors.bsky.social,genomic.social @BaudotAnais Serdar Bozdag Kapil Devkota Anthony Gitter Sara Gosline @piehiram Meng Jiang Ziynet Nesibe Kesimoglu Mehmet Koyutürk Jian Ma Alexander Pico

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

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