iiinova — where your digital self keeps evolving

Reposted by Alessandro Lussana

PMC Protein Modules Community @pmc-modularity.bsky.social · 21/10/2025

Catch our next seminar on November 10 at 3pm CET! You'll see presentations from Prof. Gideon Schreiber (@weizmanninstitute.bsky.social) and Alessandro Lussana (‪‬@alussana.bsky.social). Register to attend: tinyurl.com/PMCseminar2 Recordings of previous seminars: www.youtube.com/@PMCModularity

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Reposted by Alessandro Lussana

Saez-Rodriguez Group @saezlab.bsky.social · 23/05/2025

Ever wondered which method to use to infer kinase activities from phosphoproteomics data? 💻💭Our revised comprehensive evaluation of kinase activity inference tools, done in collaboration with the Zhang lab @bcmhouston.bsky.social, is now out @natcomms.nature.com 🔬 tinyurl.com/4twuc6z4

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Reposted by Alessandro Lussana

Evangelia Petsalaki @epetsalaki.bsky.social · 16/05/2025

We present SELPHI 2.0 a machine learning model integrating >40 sequence, omics and structural features to predict kinase-substrate interactions between 420 kinases and 240K phosphosites and improve interpretation of global phosphoproteomics data www.sciencedirect.com/science/arti...

sciencedirect.com

Data-driven extraction of human kinase-substrate relationships from omics datasets

Phosphorylation forms an important part of the signalling system that cells use for decision making and regulation of processes such as cell division …

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Reposted by Alessandro Lussana

EMBL-EBI @ebi.embl.org · 27/01/2025

Kinases play a role in many diseases, making them prime targets for therapeutic intervention. Enter PhosX, a new tool transforming the way researchers analyse and interpret kinase activity. Read the full article: academic.oup.com/bioinformati... @alussana.bsky.social @epetsalaki.bsky.social

academic.oup.com

PhosX: data-driven kinase activity inference from phosphoproteomics experiments

AbstractSummary. The inference of kinase activity from phosphoproteomics data can point to causal mechanisms driving signalling processes and potential dru

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Reposted by Alessandro Lussana

Judith Bernett @judith-bernett.bsky.social · 28/11/2024

Update: Since we published "Cracking the black box of deep sequence-based protein-protein interaction prediction," we have received mostly positive feedback. I presented our work at multiple conferences, including the ISMB/ECCB23 and GCB23. 🧬🖥️ doi.org/10.1093/bib/...

academic.oup.com

Cracking the black box of deep sequence-based protein–protein interaction prediction

Abstract. Identifying protein–protein interactions (PPIs) is crucial for deciphering biological pathways. Numerous prediction methods have been developed a

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Reposted by Alessandro Lussana

Evangelia Petsalaki @epetsalaki.bsky.social · 21/11/2024

PhosX is out! doi.org/10.1093/bioi... Leveraging the latest kinase specificity maps by the Cantley, Yaffe, and Turk labs and a rank sum statistic we created PhosX so now we can predict activities for nearly all kinases in your phosphodata, including the understudied ones. Check it out!

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