Connah Johnson

ORCID: 0000-0002-4672-9628
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About
Contact & Profiles
Research Areas
  • Gene Regulatory Network Analysis
  • Microbial Metabolic Engineering and Bioproduction
  • Protein Structure and Dynamics
  • Photosynthetic Processes and Mechanisms
  • Algal biology and biofuel production
  • Metabolomics and Mass Spectrometry Studies
  • Microbial Community Ecology and Physiology
  • Biofuel production and bioconversion
  • Cell Image Analysis Techniques
  • Bioinformatics and Genomic Networks
  • Machine Learning in Materials Science
  • Scientific Computing and Data Management
  • Slime Mold and Myxomycetes Research

Pacific Northwest National Laboratory
2023-2025

University of Warwick
2021-2022

10.1145/3658617.3703315 article EN Proceedings of the 28th Asia and South Pacific Design Automation Conference 2025-01-20

Abstract Background Spatial organization plays an important role in the function of many biological systems, from cell fate specification animal development to multistep metabolic conversions microbial communities. The study such systems benefits use spatially explicit computational models that combine a discrete description cells with continuum one or more chemicals diffusing within surrounding bulk medium. These allow silico testing and refinement mechanistic hypotheses. However, most...

10.1093/gigascience/giac051 article EN cc-by GigaScience 2022-01-01

High performance computing has a great potential to provide range of significant benefits for investigating biological systems. These systems often present large modelling problems with many coupled subsystems, such as when studying colonies bacteria cells. The aim understand cell generated substantial interest they can have strong economic and societal impacts through their roles in industrial bioreactors complex community structures, called biofilms, found clinical settings. Investigating...

10.1038/s41598-023-39150-1 article EN cc-by Scientific Reports 2023-07-28

We develop a systems approach based on an energy-landscape concept to differentiate interactions involving redox activities and conformational changes of proteins nucleic acids in multi-layered protein-DNA regulatory networks under light disturbance. Our is data-driven modeling workflow using physics-informed machine learning algorithm train non-linear mathematical model for interpreting gene expression dynamics lead discovery protein regulators proteome analysis. distinguish...

10.48550/arxiv.2410.09346 preprint EN arXiv (Cornell University) 2024-10-11

Bacteriophage auxiliary metabolic genes (AMGs) alter host metabolism by hijacking reactions. Previous studies used functional annotations to infer AMG impacts, but how these propagate and interact affect global phage production remains understudied. We demonstrate the first integration of AMGs assembly into a genome-scale model, using P-HM2 infection Prochloroccocus marinus MED4 as test system. Our model predicts that 17 directly hijacked reactions substantially impact over 30% metabolism,...

10.1101/2024.12.11.628001 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-12-16

Abstract Motivation Spatial organisation plays an important role in the function of many biological systems, from cell fate specification animal development to multi-step metabolic conversions microbial communities. The study such systems benefits use spatially explicit computational models that combine a discrete description cells with continuum one or more chemicals diffusing within surrounding bulk medium. These allow silico testing and refinement mechanistic hypotheses. However, most...

10.1101/2021.10.21.465304 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2021-10-22
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