metabolites
There are 27 repositories under metabolites topic.
pmartR/pmartR
The pmartR R package provides functionality for quality control, normalization, exploratory data analysis, and statistical analysis of mass spectrometry (MS) omics data, in particular proteomic (either at the peptide or the protein level), lipidomic, and metabolomic data.
NCBI-Hackathons/MR_BACOn
Mendelian Randomization with Biomarker Associations for Causality with Outcomes
mentatpsi/KEGG-Crawler
A parallel API crawler for the retrieval of Kyoto Encyclopedia of Genes and Genomes metabolic and genomics data.
eMetaboHUB/Forum-DiseasesChem
A Knowledge Graph from public databases and scientific literature to extract associations between chemicals and diseases.
YuLab-SMU/MMINP
Microbe-Metabolite INteractions-based metabolic profiles Predictor
SilasK/ipath3
Python wrapper for ipath3
ipb-halle/MetFamily
Understanding metabolism is fundamental in biomedical and plant research and the identification and quantification of thousands of metabolites by mass spectrometry in modern metabolomics is a prerequisite for elucidating this area. However, the identification of metabolites is a major bottleneck in traditional approaches hampering advances. Here, we present a novel approach for the untargeted discovery of metabolite families offering a bird's eye view of metabolic regulation in comparative metabolomics. We implemented the presented methodology in the easy-to-use web application MetFamily to enable the analysis of comprehensive metabolomics studies for all researchers worldwide. MetFamily is available under http://msbi.ipb-halle.de/MetFamily/.
lucinamay/biosynfoni
a *biosynformatic* fingerprint to explore natural product distance and diversity
DanieleBizzarri/MiMIR
This package contains a Rshiny webtool developed to allow the calculation of the metabolic predictors developed by the groups of MOLEPI and LCBC (LUMC), from raw Nightingale Health 1H-NMR metabolomics data.
Wishartlab-openscience/Biotransformer
A computational tool for the prediction and identification of metabolites.
bridgedb/BridgeDbR
Bioconductor R package for BridgeDb
dgets/lasttime
Keep track of date/dosage of medication administration history
computational-metabolomics/metfrag-galaxy
Metfrag for Galaxy
computational-metabolomics/beamspy-galaxy
Galaxy tools for BEAMSpy: Birmingham mEtabolite Annotation for Mass SpectroMetry (Python Package)
gu-yaowen/MTPredictor
A Drug Metabolite & Toxicity Property Predictor Based on Graph Neural Network
JPSieg/JPSiegMetaboMetaloRNA
Raw data and code for "The Metabolome Weakens RNA Helix Stability and Increases RNA Chemical Stability"
aarthi31/MetQuest-OLD
Enumeration of biosynthetic pathways from metabolic networks
glasgowcompbio/pyBatman
A pipeline to infer metabolite concentrations from 1D NMR data using BATMAN (Bayesian AuTomated Metabolite Analyser for NMR)
MetaNetX/MNXref
MNXref: Reconciliation of metabolites and biochemical reactions for metabolic networks
YonghuiDong/MSbox
Tools for Metabolomics and mass Spectrometry users
Asplund-Samuelsson/lipsmap
Interaction proteomics analysis
CreMoProduction/mevis
compare peak area of annotated metabolites using criteria and make comparing plots for all of them as well as volcano plot
jp-cranfield/mSOM
mSOM (metaboliteSOM)
kevinVervier/CarboLogR
This repository provides a GUI app for phenotype assays analysis from raw data to chemoinformatics.
mlempp/Metabolite_TF_interaction_Ecoli
Cellular metabolism controls gene expression through allosteric interactions between metabolites and transcription factors. Methods to detect these regulatory interactions are mostly based on in vitro binding assays, but there are no methods to identify them at a genome-scale in vivo. Here we show that dynamic transcriptome and metabolome data identify metabolites that are potential effectors of transcription factors in E. coli. By switching the culture conditions between starvation and growth for 20 hours, we induced strong metabolite concentration changes and accompanying gene expression changes, which were measured by LC-MS/MS and RNA sequencing. From the transcriptome data we calculated the activity of 209 transcriptional regulators with Network Component Analysis, and then tested which metabolites correlated with these activities. This approach captured, for instance, the in vivo Hill-kinetics of CRP regulation by cyclic-AMP, a canonical example of allosteric transcription factor regulation in E. coli. By testing correlations between all pairs of transcription factors and metabolites, we predicted putative effectors of 71 transcription factors, and validated five of them in vitro. These results show that the combination of transcriptomics and metabolomics can generate hypotheses about metabolism-transcription interactions that are relevant in vivo and drive transitions between physiological states.
TegestGaetti/PRA3006-Visualising-the-chemical-structure-of-metabolite-in-biological-pathways
This repository contains an HTML file presenting a webpage with a table of metabolites of a pathway collected from WikiPathways.