Machine learning method for the prediction of Bedaquiline-resistant <i>Mycobacterium tuberculosis</i>. [PDF]
Ghosh S, Bhattacharjee S, Saha S.
europepmc +1 more source
Commentary: Global research on the crosstalk between intestinal microbiome and colorectal cancer: a visualization analysis. [PDF]
Ho YS, Christidis M.
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International Collaboration to Develop and Harmonize Drug Interaction Guidance for Nirmatrelvir/Ritonavir During COVID-19: Lessons Learned for Future Pandemic Preparedness. [PDF]
Kuriakose S +17 more
europepmc +1 more source
Machine learning-based linking of bacterial genomes to optimal growth pH: a foundation for rational microbial engineering. [PDF]
Chen H +8 more
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PRIME: a database for 16S rRNA microbiome data with phenotypic reference and comprehensive metadata. [PDF]
Zhang Z, Zhao H, Wang T.
europepmc +1 more source
Open Enzyme Database: a community-wide repository for sharing enzyme data. [PDF]
Yuan L +9 more
europepmc +1 more source
Recruitment and Retention of Rural-Dwelling Young Adults into a Digital Healthy Eating Intervention: Lessons Learned from a Randomized Controlled Trial of the <i>Veg4Me</i> Study. [PDF]
Livingstone KM +11 more
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VUStruct: A compute pipeline for high throughput and personalized structural biology. [PDF]
Moth CW +9 more
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BeetleAtlas 2: An enhanced Tribolium castaneum web resource for tissue and developmental transcriptomics allowing refinement of gene predictions. [PDF]
Leader DP +3 more
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