#5 · Genomics
Models infer microbial and viral traits from large genomic and metagenomic datasets
The common thread is inference of microbial and viral traits from sequence data rather than direct measurement. Mean-pooled ESM-2 whole-proteome embeddings of 21,657 foodborne bacterial genomes recover taxonomy and support geometry-based triage with confidence signals. PanBART, a species-specific transformer trained on gene content and gene order of E. coli and S. pneumoniae, supports genomic surveillance tasks such as lineage assignment. V- and VL-scores provide annotation-free virus-likeness for protein families and genomes. Phageome reconstruction from 9,141 human gut metagenomes yields 3,794 modular endolysins. The STEC study of 3,418 isolates across 11 European countries is descriptive rather than inferential. What is new is the pairing of learned representations with explicit assessment of the inference step itself.
Preprints
Stochasticity in Metabolism: Oxidative Stress Response Phenotypes As Emergent Consequences of Network Topology
FBA-based ROS model in augmented E. coli iJO1366 reproduces bimodal H2O2 killing as an emergent network-topology effect.
FluxSprout: Single-cell metabolic modeling of vascular sprouting in zebrafish
FluxSprout integrates scRNA-seq of 10,090 zebrafish cells with Zebrafish-GEM to build metabolic network ensembles and audits annotation, loop, and specificity…
An integrated identifiability and metabolic flux analysis workflow for reducing and repairing dynamic CHO metabolic models
Identifiability and flux-analysis workflow reduces and repairs a dynamic FBA model of CHO perfusion culture, fixing structural gaps.
Metabolism-Informed Bioreactor Model for Transferring Knowledge from Fed-batch to Continuous Biomanufacturing
Metabolism-informed learning model embedding mass balances for CHO mAb bioprocesses; infers intracellular fluxes and forecasts extracellular concentrations,…
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