Clostridioides difficile: Sometimes It Pays To Be Difficult
Cell Host Microbe. 2020 Sep 9;28(3):358-359. doi: 10.1016/j.chom.2020.08.010. ABSTRACT In this issue of Cell Host & Microbe, publications from Bushman et al. (2020) and Knippel et al. (2020) outline elements of host epithelial damage or inflammation that Clostridioides difficile subverts, enabling continued growth. These mechanisms provide insight into how this important pathogen influences the gut […]
Read MoreCommunity standards to facilitate development and address challenges in metabolic modeling
Mol Syst Biol. 2020 Aug;16(8):e9235. doi: 10.15252/msb.20199235. ABSTRACT Standardization of data and models facilitates effective communication, especially in computational systems biology. However, both the development and consistent use of standards and resources remain challenging. As a result, the amount, quality, and format of the information contained within systems biology models are not consistent and therefore […]
Read More Minimum Bactericidal Concentration of Ciprofloxacin to Pseudomonas aeruginosa Determined Rapidly Based on Pyocyanin Secretion
Sens Actuators B Chem. 2020 Jun 1;312:127936. doi: 10.1016/j.snb.2020.127936. Epub 2020 Mar 4. ABSTRACT Infections due to Pseudomonas aeruginosa (P. aeruginosa) often exhibit broad-spectrum resistance and persistence to common antibiotics. Persistence is especially problematic with immune-compromised subjects who are unable to eliminate the inhibited bacteria. Hence, antibiotics must be used at the appropriate minimum bactericidal […]
Read MoreImproving reproducibility in computational biology research
PLoS Comput Biol. 2020 May 19;16(5):e1007881. doi: 10.1371/journal.pcbi.1007881. eCollection 2020 May. NO ABSTRACT PMID:32427998 | PMC:PMC7236972 | DOI:10.1371/journal.pcbi.1007881
Read MoreMedusa: Software to build and analyze ensembles of genome-scale metabolic network reconstructions
PLoS Comput Biol. 2020 Apr 29;16(4):e1007847. doi: 10.1371/journal.pcbi.1007847. eCollection 2020 Apr. ABSTRACT Uncertainty in the structure and parameters of networks is ubiquitous across computational biology. In constraint-based reconstruction and analysis of metabolic networks, this uncertainty is present both during the reconstruction of networks and in simulations performed with them. Here, we present Medusa, a Python […]
Read MoreTranscriptome-guided parsimonious flux analysis improves predictions with metabolic networks in complex environments
PLoS Comput Biol. 2020 Apr 16;16(4):e1007099. doi: 10.1371/journal.pcbi.1007099. eCollection 2020 Apr. ABSTRACT The metabolic responses of bacteria to dynamic extracellular conditions drives not only the behavior of single species, but also entire communities of microbes. Over the last decade, genome-scale metabolic network reconstructions have assisted in our appreciation of important metabolic determinants of bacterial physiology. […]
Read MorePublisher Correction: MEMOTE for standardized genome-scale metabolic model testing
Nat Biotechnol. 2020 Apr;38(4):504. doi: 10.1038/s41587-020-0477-4. ABSTRACT An amendment to this paper has been published and can be accessed via a link at the top of the paper. PMID:32265554 | PMC:PMC7138757 | DOI:10.1038/s41587-020-0477-4
Read MoreMEMOTE for standardized genome-scale metabolic model testing
Nat Biotechnol. 2020 Mar;38(3):272-276. doi: 10.1038/s41587-020-0446-y. NO ABSTRACT PMID:32123384 | PMC:PMC7082222 | DOI:10.1038/s41587-020-0446-y
Read MoreCore Competencies for Undergraduates in Bioengineering and Biomedical Engineering: Findings, Consequences, and Recommendations
Ann Biomed Eng. 2020 Mar;48(3):905-912. doi: 10.1007/s10439-020-02468-2. Epub 2020 Feb 5. ABSTRACT This paper provides a synopsis of discussions related to biomedical engineering core curricula that occurred at the Fourth BME Education Summit held at Case Western Reserve University in Cleveland, Ohio in May 2019. This summit was organized by the Council of Chairs of […]
Read MoreGuiding the Refinement of Biochemical Knowledgebases with Ensembles of Metabolic Networks and Machine Learning
Cell Syst. 2020 Jan 22;10(1):109-119.e3. doi: 10.1016/j.cels.2019.11.006. Epub 2020 Jan 8. ABSTRACT Mechanistic models explicitly represent hypothesized biological knowledge. As such, they offer more generalizability than data-driven models. However, identifying model curation efforts that improve performance for mechanistic models is nontrivial. Here, we develop a solution to this problem for genome-scale metabolic models. We generate […]
Read More