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Benchmark Results: PXD000138 Dataset

Overview

This document presents the benchmark results of four phosphorylation site localization tools (LuciPHOr, Ascore, pyLucXor, and PhosphoRS) on the PXD000138 dataset. All tools were tested using identical input files (mzML and idXML) to ensure fair comparison.

Methodology

Data Processing Pipeline

  1. Initial Processing: LuciPHOr results were obtained using quantms workflow on PXD000138 dataset
  2. Comparative Testing: Ascore, pyLucXor, and PhosphoRS were tested using the same mzML and idXML files as LuciPHOr
  3. Filtering Criteria:
    • LuciPHOr & pyLucXor: local_flr < 0.01
    • Ascore: Ascore_site > 20
    • PhosphoRS: site_prob > 99%
    • All tools: FDR < 0.01
  4. Post-filtering: Removed peptides with ambiguous sites and decoy peptides
  5. Validation: Matched filtered results from each tool against the ground truth/reference dataset (see line 102) to calculate True Positives (TP) and False Positives (FP)

Uncertainty Classification

Uncertain phosphorylation sites were identified using criteria from the respective original papers:

Results

Table 1: Well-Resolved Phosphorylation Sites

Tool Phospho_Count PhosphoDecoy_Count Total_Sites Global_FLR
LuciPHOr 48186 1168 49354 0.0237
Ascore 52906 1541 54447 0.0283
pyLucXor 51468 1616 53084 0.0304
PhosphoRS 50000 722 50722 0.0142

Table 2: Uncertain Phosphorylation Sites

Tool Phospho_Count PhosphoDecoy_Count Total_Sites Percentage_of_Total_PSMs Global_FLR
LuciPHOr 37337 5670 43007 9.977655 0.131839
Ascore 23628 16921 40549 10.52425 0.417298
pyLucXor 38970 6511 45481 10.74325 0.143159
PhosphoRS 26354 4168 30522 6.614142 0.136557

Table 3: Site Localization Quality

Tool Total_PSMs Total_Phospho_Sites Well_Resolved_Phospho_Sites Uncertain_Phospho_Sites
LuciPHOr 111588 118625 48186 37337
Ascore 111747 101382 52906 23628
pyLucXor 111588 117341 51468 38970
PhosphoRS 111747 107552 50000 26354

Analysis

Global False Localization Rate (FLR)

PhosphoRS achieved the lowest Global FLR (0.0142), followed by LuciPHOr (0.0237), Ascore (0.0283), and pyLucXor (0.0304). This indicates PhosphoRS has the highest precision in phosphorylation site localization under the applied filtering criteria.

Well-Resolved Sites

Uncertain Sites

Trade-offs

The results demonstrate a trade-off between sensitivity and specificity:

Conclusions

Each tool demonstrates distinct strengths:

  1. PhosphoRS is recommended when precision is critical (lowest FLR: 1.42%)
  2. Ascore provides the best balance with highest well-resolved sites and lowest uncertainty
  3. pyLucXor offers high sensitivity but requires careful FLR consideration
  4. LuciPHOr provides reliable balanced performance suitable for general applications

The choice of tool should be guided by the specific requirements of the analysis, weighing the importance of precision versus sensitivity in phosphorylation site localization.

Dataset Information

References