Alison Chaves

@alisonchaves.bsky.social

Doing proteomics until I still can. https://github.com/41ison

How to ruin an expensive experiment: "Cellular proteins were harvested from three biological replicates at each condition, and the proteins were pooled into one sample for further sample preparation."

As far as I can tell, I just received the best peer-review criticism of my life. Real improvement suggestions. Things I wasn't aware of when making some decisions. I couldn't be happier. This is a sincere thanks to reviewers.

Expectations in de novo search field: 1. Cascadia working; 2. Casanovo reporting RT and making non-tryptic ckpt compatible with the last release; 3. InstaNovo with winnow integrated; 4. GUI for InstaNovo; 5. Fragnovo release in FragPipe; 6. this is one interesting: langtaosha.org.cn/lts/en/prepr...

Accurate and ultra-fast de novo HLA-I immunopeptide sequencing with FoxNovo

We present FoxNovo, a hybrid deep learning-combinatorial framework for de novo sequencing of immunopeptides trained on a large-scale HLA-I immunopeptidomics dataset assembled and reprocessed from publ

langtaosha.org.cn

N-Terminal Coumarin Derivatization-Aided De Novo Peptide Sequencing and Its Application to Peptidomics Using LC-Trapped Ion Mobility Spectrometry-qTOF/MS | Analytical Chemistry pubs.acs.org/doi/10.1021/...

N-Terminal Coumarin Derivatization-Aided De Novo Peptide Sequencing and Its Application to Peptidomics Using LC-Trapped Ion Mobility Spectrometry-qTOF/MS

De novo peptide sequencing using LC–MS/MS enables database-independent sequence determination and facilitates the discovery of bioactive peptides and biomarkers in untargeted peptidomics. However, conventional MS/MS analyses often produce fragment ions that are insufficient for complete sequencing. Here, we established an LC–MS/MS workflow using N-succinimidyl 7-methoxycoumarin-3-carboxylate (Me-Cou) as an N-terminal tag to improve de novo sequencing performance. Me-Cou derivatization generated highly informative fragment ions, particularly b1–b3 ions, for (Gly)4 at 1 μmol/L, surpassing the performance of established tags, such as 2,4,6-trinitrobenzenesulfonic acid, 3-aminopyridyl-hydroxy-succinimidyl carbamate, and N-succinimidyl [tris(2,4,6-trimethoxyphenyl)phosphonio]acetate bromide. The Me-Cou tag also enabled confident sequencing of (Gly)10, generating abundant b1–b9 ions. Notably, intact de novo sequencing identified 74 peptides with 32 misidentified peptides that were not included in a 132-standard peptide mixture (86 dipeptides and 46 oligopeptides). However, all peptides were correctly identified using Me-Cou-aided de novo sequencing with no misidentification, demonstrating high specificity and accuracy. Additionally, Me-Cou-aided de novo sequencing successfully identified 328 peptides in casein peptone, all of which were assigned as casein protein fragments. Overall, Me-Cou-based LC–MS/MS significantly enhanced peptide detection and the characterization of sequence diversity compared with intact analysis. This methodology is a promising strategy for untargeted peptidomics, enabling comprehensive characterization of endogenous peptides in both protein hydrolysates and biological fluids.

pubs.acs.org

The following fragment of code if from fragpipe de novo. Does that mean that de novo in fragpipe will run DIA? private static final String[] MODEL_OPTIONS = { "DDA_MassIVE", "ddaPASEF", "DIA_Orbitrap", "diaPASEF", "nonspecific" }

A harsh truth about developers in the de novo proteomics field: they don't care about user experience. Do you know why Windows (~60%) and macOS (~15%) are more popular than Linux (3%) in the desktop computer world? Because they care about user experience!