
fleemanlab.bsky.social
418 posts

fleemanlab.bsky.social
@FleemanLab
Assistant Professor at the University of Central Florida College of Medicine studying drug resistant Klebsiella pneumoniae.


CONGRATULATIONS to our grad student Shantal for PASSING her qualifying exam! 🍾 We are so proud of you and can't wait to see what you will accomplish next! This is Shantal thanking Malt for providing her emotional support throughout this process 🐶




BWF is proud to announce the 2025 recipients of its Postdoctoral Diversity Enrichment Program (PDEP), which provides critical support to postdoctoral researchers pursuing careers in biomedical and medical research. buff.ly/RLaqMmd #bwfpdep










It's that time of year! Registration and abstract submission for the 6th Klebsiella Seminar Series is now open. Participation is free and abstracts are due by February 16th. See the link below for details: forms.gle/gxbvaC6FjzuSPt… #KlebClub



Check out our latest publication aligning the MRSN panel biofilm and mucoid phenotypes to the genotypes in @Nature_NPJ Biofilms and Microbiomes! Special thanks to my collaborators on this work @EpiDemiLogos and @OlayaRendueles !! nature.com/articles/s4152…

Antibiotic discovery is notoriously hard and slow. What if we could change that by optimizing antibiotics on the computer? Introducing APEXgo, our latest AI model, which integrates a transformer-based variational autoencoder with Bayesian optimization to design novel antibiotics. Unlike traditional AI approaches, which rely on fixed databases of known molecules, APEXgo explores uncharted sequence space, proposing entirely novel peptides that have not been seen before. We put APEXgo to the test with a bold challenge: could it design optimized compounds with antibiotic activity using templates from extinct organisms like woolly mammoths and giant sloths? 🐘🦣 The results? 🤯 · 100 peptides were synthesized and characterized for antimicrobial activity, mechanism of action, secondary structure, and cytotoxicity. · APEXgo achieved an 85% experimental hit rate. · 72% success in improving activity against dangerous Gram-negative pathogens —a major challenge. · The antibiotics designed by APEXgo were effective in mouse models, even outperforming polymyxin B (a last-resort antibiotic). This work represents the first ground-truth experimental validation of generative Bayesian optimization in any setting, and we are excited that its debut application is in antibiotic discovery. With APEXgo, we have entered an era where AI accelerates antibiotic discovery and explores molecular diversity at digital speed. #AI #Antibiotics Huge congratulations to my amazing Team and collaborators on this achievement: @mdt_torres, Yimeng Zeng, Fangping Wan, Natalie Maus, and Jake Gardner @Penn @PennMedicine @PennEngineers Link to the paper: biorxiv.org/content/10.110…



The rise of #AntibioticResistance calls for innovative solutions; @delafuentelab outlines how biology can be mined digitally using #ArtificialIntelligence as a new paradigm for antibiotic discovery, offering hope in the fight against superbugs #PLOSBiology plos.io/3B3rWP8


