Prediction of peptidoglycan hydrolases- a new class of antibacterial proteins

Time to predict the peptidoglycan hydrolases using a recent machine learning based tool 'HyPe'.

A recent publication out from our lab. Please explore and write back to (ashok@iiserb.ac.in and drsanjivk@gmail.com) in case of any problem. Comments are welcome. 

https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-016-2753-8

The present tool helps in the identification and classification of novel peptidoglycan hydrolases from complete genomic or metagenomic ORFs. To our knowledge, this is the only tool available for the prediction of peptidoglycan hydrolases from genomic and metagenomic data.

Availability: http://metagenomics.iiserb.ac.in/hype/, http://metabiosys.iiserb.ac.in/hype/.

Metabolomics and drug discovery

Interesting article for those who are interested in the drug discovery using metabolomics approach. They have covered complete pipeline of drug discovery starting from the metaboloic data.

"Emerging applications of metabolomics in drug discovery and precision medicine" 

http://www.nature.com/nrd/journal/vaop/ncurrent/full/nrd.2016.32.html