PepFormer: End-to-End Transformer-Based Siamese Network to Predict and Enhance Peptide Detectability Based on Sequence Only

AP3: An Advanced Proteotypic Peptide Predictor for Targeted Proteomics by Incorporating Peptide Digestibility

(2019) Zhiqiang Gao et al.   ANALYTICAL CHEMISTRY

DeepMSPeptide: peptide detectability prediction using deep learning

(2019) Guillermo Serrano et al.   BIOINFORMATICS

Artificial Intelligence Understands Peptide Observability and Assists With Absolute Protein Quantification

(2018) David Zimmer et al.   Frontiers in Plant Science

Enhanced Missing Proteins Detection in NCI60 Cell Lines Using an Integrative Search Engine Approach

(2017) Elizabeth Guruceaga et al.   JOURNAL OF PROTEOME RESEARCH

Analysis of Intrinsic Peptide Detectability via Integrated Label-Free and SRM-Based Absolute Quantitative Proteomics

(2016) Andrew F. Jarnuczak et al.   JOURNAL OF PROTEOME RESEARCH

The Importance of Peptide Detectability for Protein Identification, Quantification, and Experiment Design in MS/MS Proteomics

(2010) Yong Fuga Li et al.   JOURNAL OF PROTEOME RESEARCH