Yannis Nevers nicely reporting at #ISMB2024 about OMArk, a software for genome quality assessment -a fundamental issue for downstream analysis.

Alex Bateman discusses fair and unfair uses of generative AI and LLMs in scientific publishing at #ISMB2024. Unmissable if one want to use GTP for assistance.

Thomas Lengauer explains the behind the doors of publishing in Bioinformatics Advances Bioinformatics Advances, the open access journal of the International Society for Computational Biology. #ISMB2024

2024 ISCB Innovator Award recipient, Dr. Sui-In Lee, concludes the #ISMB2024 congress with a powerful message: the researchers' goal is not to publish in prestigious journals, but to push the boundaries of human knowledge.

High-resolution cryoEM structure of UapA, the original member of the NAT transporter. While UapA transports uric acid, other members of this family transport ascorbate. Linus Pauling proposed an evolutionary connection between uric acid and ascorbate (vitamin C)

Link: blog.atomsonly.com/p/estimating-t… Also, I previously tweeted about this story, so you may have already heard about it. x.com/NikoMcCarty/st…

This year’s medicine laureates Victor Ambros and Gary Ruvkun studied a relatively unassuming 1 mm long roundworm, C. elegans. Despite its small size, C. elegans possesses many specialised cell types such as nerve and muscle cells also found in larger, more complex animals,

Mitochondria never cease to amaze

Pierre-Régis Burgel presenting the keynote speech at the 22nd convention of investigators in Cystic Fibrosis.

Will soon open a position in my group in Padova. Topic is mechanistic enzymology with cool serial X-ray, electron and neutron crystallography work... plenty of opportunities for collaborations with leading groups. Get in touch with me [email protected] if interested.

"It's not a goal that is the goal, it's actually the path towards the goal." 2014 chemistry laureate Stefan Hell shares his best career advice for young scientists and researchers. #NobelPrize

EvoWeaver provides as output its 12 predictions for signals of coevolution, and can optionally provide an ensemble prediction using built-in pretrained models. Functional associations often result in correlated gain/loss patterns on a reference phylogenetic tree.

Predicting Protein Function in the AI and Big Data Era | Biochemistry pubs.acs.org/doi/10.1021/ac…

Deep-learning-based single-domain and multidomain protein structure prediction with D-I-TASSER go.nature.com/4kwCaIK

Using bioinformatics for identifying and plugging metabolic pathway holes | PNAS pnas.org/doi/10.1073/pn…

Michael Galperin Michael Galperin is a wizard. How did he know?

Great new machine learning study from Università di Parma researchers: Read it here 👉 doi.org/10.1007/s10994…