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Naia Novy (University of Wisconsin-Madison) and colleagues published a new paper on multiobjective machine learning design of phage specificity, showing deep learning can successfully design T7 phages with precisely tuned infectivity, speci

Nathan Novy (University of Wisconsin-Madison) and colleagues published a new paper on multiobjective learning and design of phage specificity, showing deep learning can enhance T7 phage infectivity and specificity toward diverse bacterial s

Monyque Karoline de Paula Silva (Brazilian Center for Research in Energy and Materials) and colleagues published a new paper on deep learning in phage discovery, showing how AI enhances phage research through improved vMAG reconstruction, h

M. Fernanda Vieira (University of Minho) and colleagues published a new paper on machine learning for phage depolymerase identification, showing PhageDPO achieves 96% accuracy in predicting depolymerases with potential biotechnological appl

PHIStruct is a multilayer perceptron that uses SaProt structure-aware embeddings of receptor-binding proteins to predict hosts among the ESKAPEE genera. The study provides its experimental data and source code on GitHub. Oxford Academic / P

Tongqing Wei (Fudan University) and colleagues published a new paper on predicting phage-bacteria interactions using deep learning, showing DeepPBI-KG can accurately predict interactions based on key genes and outperforms existing methods o

Cheng Peng (City University of Hong Kong) and colleagues published a new paper on a genome foundation model for virus discovery, showing ViraLM outperforms existing tools in identifying novel viral contigs in metagenomic data, especially im

Eric Nguyen (Stanford University, Arc Institute) and colleagues published a paper on their new machine learning model, Evo, a new generative AI model trained on millions of phage and bacterial genomes for designing new biological sequences

Baptiste Gaborieau (Université Paris Cité, France) and colleagues created a new machine learning model able to predict Escherichia phage-host interactions and design effective phage cocktails using only genomic data.

PharaCon applies conditional BERT to phage identification, incorporating labels during pre-training and fine-tuning. The authors evaluated the framework on simulated sequences and real metagenomic contigs. bioRxiv

The Fossati lab at the Karolinska Institutet, Sweden is hiring a postdoc in the field of bacterial antiphage systems. The lab investigates bacterial immune system composition and mechanisms by employing bulk NGS and high-throughput proteomi

G. Eric Bastien and colleagues have developed a machine learning model called Virus-Host Interaction Predictor (VHIP) to predict virus-host interactions and reconstruct complex virus-host networks in natural systems.

University of Nottingham is hiring a Research Associate/Fellow in Machine Learning and Data Science to take a leading role in a BBSRC funded research project entitled “Using bacteriophage to control Salmonella in pigs”.

A new paper by Jan Finke (Hakai Institute, Canada) and colleagues describes Deep6, a deep learning model for classification of metatranscriptomic sequences into prokaryotes, eukaryotes, or one of the four viral realms (Duplodnaviria, Varidn

Felix Biotechnology is looking for candidates with backgrounds in ML/AI to join their team in developing tools to help patients prevent deaths and create a better future. They specialize in collecting data quickly and cheaply, mapping viral

My Hero & Me - Different flavors of phage-host prediction powered by machine learning: how and why?: Dimi Boeckaerts and Simon Roux discuss different approaches to building machine learning models for phage-host prediction in this webinar.

Paper: Digital phagograms: predicting phage infectivity through a multilayer machine learning approach.

Paper: Rapid assessment of phage therapeutic suitability using an ensemble machine learning approach

Valuable phages have good shelf-life properties, but how can we reliably characterize the structural parts of the phage particle? Tze Thung (Centre to Impact AMR, Monash University) and colleagues published a new mSystems paper on their new

Mayo Clinic is hosting a webinar on machine learning in phage therapy Jan 27 1PM MST. Register here. Featured Speaker: Cedric Lood, Researcher-Arenberg Doctoral Program at KU Leuven University-Belgium. Gina Suh, M.D. and William Faubion, M.