Pneumocystis jirovecii DHFR Mutant Strains for Antifolate Resistance Study

Francois D. Rouleau published a dataset on figshare in May 2026 detailing strains used in a study of Pneumocystis jirovecii. The dataset likely contains information on fungal strains engineered for deep mutational scanning of the DHFR protein to model resistance to antifolate drugs like methotrexate and trimethoprim. The dataset is 9.5 KB in size and is available in XLSX format.

Use Cases

• Training random forest models to classify drug resistance-conferring mutations based on functional trade-offs.
• Analyzing the relationship between protein stability, flexibility, and drug resistance as described in the study.
• Predicting the effects of mutations on trimethoprim resistance using a model extrapolated from methotrexate assay data.
• Investigating constraints on resistance evolution by integrating experimental DMS data with biophysical features.

Strengths

• Dataset is 9.5 KB, indicating a focused and manageable size for quick analysis.
• The description provides a detailed scientific context for the data's generation and purpose.
• The dataset is licensed under CC-BY-4.0, allowing for open sharing and reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's scope is limited to strains from a specific study on P. jirovecii DHFR.

Provenance

Source

Francois D. Rouleau

Collection Method

Strains were generated by expressing P. jirovecii DHFR in Saccharomyces cerevisiae and performing deep mutational scanning.

Freshness

Last updated 2026-05-27 17:44:20; freshness should be verified.