ModST Files

A tool to search post-translational modifications in a blind mode

Brought to you by: aky123, suragg

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size	InfoDownloads / Week
ModLocator	2021-03-18		0
PTMAnnotator	2021-03-18		0
ModST_1.1	2016-11-19		0
ModST_1.0	2016-10-28		0
Totals: 4 Items			0

Other Useful Business Software

Gemini 3 and 200+ AI Models on One Platform

Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

Build, govern, and optimize agents and models with Gemini Enterprise Agent Platform.

Start Free

Try Google Cloud Risk-Free With $300 in Credit

No hidden charges. No surprise bills. Cancel anytime.

Use your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.

Start Free

Gemini 3 and 200+ AI Models on One Platform

Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

Build, govern, and optimize agents and models with Gemini Enterprise Agent Platform.

Start Free

Recommended Projects

MZmine 2
A framework for differential analysis of mass spectrometry data
SASHIMI
The Sashimi project hosts the Trans-Proteomic Pipeline (TPP), a mature suite of tools for mass-spec (MS, MS/MS) based proteomics: statistical validation, quantitation, visualization, and converters from raw MS data to the open mzML/mzXML formats.
multiplierz
Open-source Python software library and GUI desktop environment for direct bioinformatic analysis of mass-spectrometry data through powerful scripting tools and interfaces to many machine data formats, database search engines, and peptide data formats. For a copy of the source code, check out our Github repositories: mzDesktop: https://github.com/MaxAlex/mzDesktop multiplierz: https://github.com/MaxAlex/multiplierz
JPhysChem modeling tool
JPhysChem - a mathematical modeling toolbox designed to provide an abstract layer and a comprehensive graphical front-end for general model building and specific modeling and data processing in the field of mass spectrometry and physical chemistry.
SGMNS
Large-scale metabolite annotation is a bottleneck in untargeted metabolomics. Here, we present a structure-guided molecular network strategy (SGMNS) for deep annotation of untargeted ultra-performance liquid chromatography-high resolution mass spectrometry-based metabolomics data. SGMNS used a global connectivity molecular network (GCMN), which was constructed by the structural similarity of metabolites. When the annotation was performed, experimental MS/MS spectra of known metabolites as seeds were assigned to corresponding neighbor metabolites in GCMN as their “pseudo” spectra, and the propagation was performed by searching predicted retention times, MS1 and “pseudo” spectra against metabolite features. Then, the annotated metabolite features were used as new seeds for annotation propagation again. A total of 2,041 metabolites were annotated from a pooled biological sample, and the annotation accuracy was > 83% with RSD < 2%.

ModST Files

A tool to search post-translational modifications in a blind mode

Get an email when there's a new version of ModST