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Articles published in PLoS Comput Biol

Retrieve available abstracts of 16 articles:
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    August 2021
  1. BLASSEL L, Tostevin A, Villabona-Arenas CJ, Peeters M, et al
    Using machine learning and big data to explore the drug resistance landscape in HIV.
    PLoS Comput Biol. 2021;17:e1008873.
    PubMed     Abstract available

    June 2021
  2. ESENER N, Guerra AM, Giebel K, Lea D, et al
    Mass spectrometry and machine learning for the accurate diagnosis of benzylpenicillin and multidrug resistance of Staphylococcus aureus in bovine mastitis.
    PLoS Comput Biol. 2021;17:e1009108.
    PubMed     Abstract available

    March 2021
  3. ESPINOZA JL, Dupont CL, O'Rourke A, Beyhan S, et al
    Predicting antimicrobial mechanism-of-action from transcriptomes: A generalizable explainable artificial intelligence approach.
    PLoS Comput Biol. 2021;17:e1008857.
    PubMed     Abstract available

    January 2021
  4. KACHALOV VN, Nguyen H, Balakrishna S, Salazar-Vizcaya L, et al
    Identifying the drivers of multidrug-resistant Klebsiella pneumoniae at a European level.
    PLoS Comput Biol. 2021;17:e1008446.
    PubMed     Abstract available

  5. KAVCIC B, Tkacik G, Bollenbach T
    Minimal biophysical model of combined antibiotic action.
    PLoS Comput Biol. 2021;17:e1008529.
    PubMed     Abstract available

    December 2020
  6. LIBISELLER-EGGER J, Phelan J, Campino S, Mohareb F, et al
    Robust detection of point mutations involved in multidrug-resistant Mycobacterium tuberculosis in the presence of co-occurrent resistance markers.
    PLoS Comput Biol. 2020;16:e1008518.
    PubMed     Abstract available

    November 2020
  7. SAHA A, Dixit NM
    Pre-existing resistance in the latent reservoir can compromise VRC01 therapy during chronic HIV-1 infection.
    PLoS Comput Biol. 2020;16:e1008434.
    PubMed     Abstract available

    October 2020
  8. NGUYEN M, Olson R, Shukla M, VanOeffelen M, et al
    Predicting antimicrobial resistance using conserved genes.
    PLoS Comput Biol. 2020;16:e1008319.
    PubMed     Abstract available

    August 2020
  9. CLARELLI F, Palmer A, Singh B, Storflor M, et al
    Drug-target binding quantitatively predicts optimal antibiotic dose levels in quinolones.
    PLoS Comput Biol. 2020;16:e1008106.
    PubMed     Abstract available

  10. LANS I, Anoz-Carbonell E, Palacio-Rodriguez K, Ainsa JA, et al
    In silico discovery and biological validation of ligands of FAD synthase, a promising new antimicrobial target.
    PLoS Comput Biol. 2020;16:e1007898.
    PubMed     Abstract available

    July 2020
  11. PAGE AJ, Bastkowski S, Yasir M, Turner AK, et al
    AlbaTraDIS: Comparative analysis of large datasets from parallel transposon mutagenesis experiments.
    PLoS Comput Biol. 2020;16:e1007980.
    PubMed     Abstract available

  12. KRIEGER MS, Denison CE, Anderson TL, Nowak MA, et al
    Population structure across scales facilitates coexistence and spatial heterogeneity of antibiotic-resistant infections.
    PLoS Comput Biol. 2020;16:e1008010.
    PubMed     Abstract available

    May 2020
  13. CARBALLO-PACHECO M, Nicholson MD, Lilja EE, Allen RJ, et al
    Phenotypic delay in the evolution of bacterial antibiotic resistance: Mechanistic models and their implications.
    PLoS Comput Biol. 2020;16:e1007930.
    PubMed     Abstract available

    April 2020
  14. MARREC L, Bitbol AF
    Resist or perish: Fate of a microbial population subjected to a periodic presence of antimicrobial.
    PLoS Comput Biol. 2020;16:e1007798.
    PubMed     Abstract available

    March 2020
  15. HYUN JC, Kavvas ES, Monk JM, Palsson BO, et al
    Machine learning with random subspace ensembles identifies antimicrobial resistance determinants from pan-genomes of three pathogens.
    PLoS Comput Biol. 2020;16:e1007608.
    PubMed     Abstract available

    January 2020
  16. KIM J, Greenberg DE, Pifer R, Jiang S, et al
    VAMPr: VAriant Mapping and Prediction of antibiotic resistance via explainable features and machine learning.
    PLoS Comput Biol. 2020;16:e1007511.
    PubMed     Abstract available

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