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University of Wisconsin–Madison biochemists led by Vatsan Raman built an AI model that identifies phage mutations with the greatest potential to improve targeting and killing of bacteria. In laboratory tests, phages carrying AI-suggested mu

Claude helped identify array-associated reverse transcriptases (ART), an enzyme system found mainly in bacteriophages. Early laboratory work is described in a preprint; the system’s biological function remains unknown. Anthropic

Researchers can apply for up to US$50,000 in credits per scientific project. The expanded AI for Science programme accepts any researcher and extends beyond its initial biological-science focus to other fields. Biology and chemistry access

Stanford researchers led by Brian Hie and Samuel King used Evo 2, a generative AI model that writes whole genomes, to design novel bacteriophage genomes starting from ΦX174. They synthesized nearly 300 phages, tested them against E. coli an

Phagos (Suresnes, France) offered a six-month AI research internship, planned to start 1 February 2026, exploring how large AI models can predict bacteriophage–host interactions using real biological datasets. Candidates should be enrolled

Scientists from the Institut Pasteur, Inserm, AP-HP and Université Paris Cité trained an AI model that recommends a phage cocktail for a bacterial strain from its genome alone, using 350,000 interactions between 403 E. coli strains and 96 p

Yves Briers will head up Obulytix, a new company based on the phage lysin-based platform leveraging AI to tackle bacterial infections he co-developed at Ghent University and KU Leuven. Obulytix has already attracted $4 M Euro investment fro

Phage.ai has developed a Python package! PhageAI is an AI-driven software platform for prediction of phage lifecycle and taxonomy, providing valuable insights into phage characteristics and protein structural classes classification. Try it

Jan Zheng is chairing a series of AI and infectious diseases talks at Westmead Health Precinct, Sydney, Australia Nov 6-7, as part of the The Short Course in Critical Infection.

PhageLab is a Chile-based AI-powered phage biotech company selling phage biocontrol to livestock producers. Their technology is a deep epidemiological analysis algorithm that identifies phages to match target bacteria, based on unique data

DeepMind's AlphaFold and Meta's ESMFold are two AI-based methods for predicting protein structures. According to this article by Ewen Callaway, DeepMind's method is more accurate but takes longer, while Meta's method is faster but less accu

Paper: Identification of phage receptor-binding protein sequences with hidden markov models and an extreme gradient boosting classifier. Twitter thread: ‘AI vs. bioinformatics’ — find out which one won!.

OnePetri for iOS is now publicly available — accelerating common Petri dish assays with the power of AI! Count hundreds of phage plaques in a matter of seconds and easily perform plaque assay calculations in the palm of your hand. Support f

PHAGE: Therapy, Applications, and Research journal is currently seeking manuscripts for a special issue with a dedicated focus on Phage Informatics and AI. The special issue will focus on all aspects of computational analysis and applicatio

PhageAI 0.7.2 has been released! What's new: Life cycle classifier v1.3 to distinguish between virulent and temperate phages (accuracy benchmark); PhageAI as free Python package on GitHub and PyPI; Duplicate samples detection alert in phag

Menglu Li (Anhui University, China) and colleagues published a new paper in IEEE/ACM Transactions on Computational Biology and Bioinformatics describing PredPHI (Predicting Phage-Host Interactions), a new deep learning-based tool for predic

Phage.ai, the interactive platform created by Piotr Tynecki (SLAVIC AI) and Proteon Pharmaceuticals, has released a new update! You can use phage.ai to access 10K phage sequences with extended characteristics (lifecycle, taxonomy, hosts, to

Featuring: - extended life cycle classifier with chronic infection support - novel taxonomy classifier for ORDER, FAMILY and GENUS - CSV data export, batch upload, performance improvements - REST API and phageai Python package - More than 1

Featuring: - extended life cycle classifier with chronic infection support - novel taxonomy classifier for ORDER, FAMILY and GENUS - CSV data export, batch upload, performance improvements - REST API and phageai Python package - More than 1

DeepPetri is an AI-based tool by Phages4A that semi-automatically determines, measures, and categorizes lysis zones of images of phage spot tests. Sign up to be notified when they launch, and stay tuned to take part in a survey looking at h