Merete Storflor

ORCID: 0000-0003-1254-1798
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About
Contact & Profiles
Research Areas
  • Antibiotic Resistance in Bacteria
  • Antibiotics Pharmacokinetics and Efficacy
  • Lipid Membrane Structure and Behavior
  • Bacterial Identification and Susceptibility Testing
  • Bacterial Genetics and Biotechnology
  • Plant Micronutrient Interactions and Effects
  • Cancer therapeutics and mechanisms
  • Cellular transport and secretion
  • Trace Elements in Health
  • Evolution and Genetic Dynamics
  • Porphyrin and Phthalocyanine Chemistry

UiT The Arctic University of Norway
2018-2023

Pennsylvania State University
2020-2021

Antibiotic resistance is rising and we urgently need to gain a better quantitative understanding of how antibiotics act, which in turn would also speed up the development new antibiotics. Here, describe computational model (COMBAT-COmputational Model Bacterial Target-binding) that can quantitatively predict antibiotic dose-response relationships. Our goal dual: We address fundamental biological question investigate drug-target binding shapes action. create tool efficacy priori. COMBAT...

10.1371/journal.pcbi.1008106 article EN cc-by PLoS Computational Biology 2020-08-14

Microbial division rates determine the speed of mutation accumulation and thus emergence antimicrobial resistance. death are affected by antibiotic action immune system. Therefore, measuring these has advanced our understanding host-pathogen interactions action. Several methods based on marker-loss or few inheritable neutral markers exist that allow estimating microbial rates, each which advantages limitations. Technical bottlenecks, i.e., experimental sampling events, during experiment can...

10.1016/j.csbj.2021.01.017 article EN cc-by Computational and Structural Biotechnology Journal 2021-01-01

Abstract Combatting antibiotic resistance will require both new antibiotics and strategies to preserve the effectiveness of existing drugs. Both approaches would benefit from predicting optimal dosing based on drug-target binding parameters that can be measured early in drug development change when bacteria become resistant. This avoid currently frequently employed trial-and-error might reduce number candidates fail late development. Here, we describe a computational model...

10.1101/369975 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2018-07-16

Abstract A significant challenge today within protein lipidology is to understand the relationship between cell structure, lipid membrane integrity, ion homeostasis and embedded proteins. The bacterial magnesium transporter (MgtA) a specialized P-type ATPase important for Mg 2+ import into cytoplasm; disrupted linked intrinsic ribosome instability nitro-oxidative stress in Salmonella strains. MgtA’s function highly dependent on anionic lipids, particularly cardiolipin, further...

10.1101/2021.09.27.462033 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2021-09-27
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