PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 5, 2026Cancer Research

Abstract 987: Optimization of bioinformatics parameters for DIA-based proteomics in targeted protein degradation

View Full Paper
Ask AI
Bookmark
Share

Authors

HZHui ZhouYLYi LiuAYAijuan Yu

Discussion

Loading...

Member takes

Overview

Evaluates bioinformatics parameters to enhance on-target efficacy assessments in targeted protein degradation, suggesting improved therapeutic strategies.

Key Points

  • To optimize bioinformatic parameters for accurate analysis of targeted protein degradation effects using DIA proteomics.
  • Conducted a systematic evaluation of bioinformatics parameters in DIA proteomics.
  • Assessed the impact of Unique Peptide filtering and various imputation methods.
  • Analyzed factors affecting peptide-level bioinformatics impact on efficacy and toxicity.
  • Unique Pep filtering ≥2 reduced off-target misidentification.
  • Row_min imputation effectively handled completely missing data, while min imputation showed high variance.
  • Identifying high-abundance outlier peptides significantly influenced the accuracy of results.

Cite This Study

Zhou et al. (2026) studied this question.

synapsesocial.com/papers/69d1fd4ea79560c99a0a33d5https://doi.org/10.1158/1538-7445.am2026-987
View Full Paper
Ask AI
Bookmark
Share