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Daniela Kalafatovic

@dani-deshpet.bsky.social
31 followers 39 following 4 posts

deshpetlab.uniri.hr

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Daniela Kalafatovic @dani-deshpet.bsky.social · 13/07/2026
#machinelearning #bayesanoptimization #antimicrobial #peptides #design
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Daniela Kalafatovic @dani-deshpet.bsky.social · 30/06/2026
Check out our News & Views on ApexGO rdcu.be/fqi0f
rdcu.be
Data-driven surrogates of rational design enable antimicrobial peptide optimization
Nature Machine Intelligence - Rising pathogen drug resistance makes next-generation antimicrobial peptides a global priority. Generative AI accelerates discovery by rapidly proposing new peptides...
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Reposted by Daniela Kalafatovic
MOBILIsE_ERA-CHAIR @mobilise.bsky.social · 18/07/2025
🌟Look fwd to welcoming @dani-deshpet.bsky.social as lecturer in our #BiomolecularInteractions #Modelling Course. 🖥️ Join us to learn about uncovering peptide self‑assembly using adaptive, generative machine learning models!🔗bit.ly/3ZUSXNX 🗓️14Oct'25 @molbiom.bsky.social @i3suporto.bsky.social #Porto
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Reposted by Daniela Kalafatovic
Molecular Biomaterials Group at i3S, led by Helena Azevedo @molbiom.bsky.social · 18/07/2025
Very pleased to have @dani-deshpet.bsky.social as a lecturer in @mobilise.bsky.social training course! She is Chair of @snoopy-costaction.bsky.social and will share insights on #machine #learning for #peptide design. Don´t miss the chance to learn about #molecular & #professional #interactions! 😊
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Daniela Kalafatovic @dani-deshpet.bsky.social · 30/05/2025
Check out our new review on Using Machine Learning to Fast-Track Peptide Nanomaterial Discovery | ACS Nano pubs.acs.org/doi/full/10....
pubs.acs.org
Using Machine Learning to Fast-Track Peptide Nanomaterial Discovery
Peptides can serve as building blocks for supramolecular materials because of their unique ability to self-assemble, offering potential applications in drug delivery, tissue engineering, and nanotechn...
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Reposted by Daniela Kalafatovic
Materials Advances @materialsadvances.rsc.org · 21/05/2025
Materials Advances is pleased to announce an open call for papers for our upcoming collection on Supramolecular Peptide & Protein Systems, guest edited by @dani-deshpet.bsky.social, Ana Garcia, Veronica Dodero, Ivan Sasselli and Jacek Wychowaniec. Learn more here: blogs.rsc.org/jm/2025/05/0...
Promotional slide of 'Supramolecular Peptide and Protein Systems' Materials Advances themed collection with photos of Guest Editors and submission deadline (30 Nov 2025).
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Daniela Kalafatovic @dani-deshpet.bsky.social · 01/02/2025
Check out our latest paper on the application of ML and generative models on peptide self-assembly prediction www.nature.com/articles/s42...
nature.com
Reshaping the discovery of self-assembling peptides with generative AI guided by hybrid deep learning - Nature Machine Intelligence
A generative model guided by a machine-learning-based classifier capable of assessing unexplored regions of the peptide space in the search for new self-assembling sequences.
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