Understanding Computational Biology

Environmental research has been revolutionized by sequencing technologies that generates huge amount of data by directly sequencing of DNA from environment. Analysis of the data using computational biology provides valuable insights about novel microorganisms, their functions and metabolic pathways. This blog aims to enhance understanding of different tools, algorithms and pipelines for the study of microbial diversity in different environment. Contact me: ashoks773@gmail.com

Tuesday 5 July 2016

Prediction of Biofilm Inhibiting Peptides: An In silico Approach

Time to predict the biofilm inhibiting peptides using a recent machine learning based tool 'BioFin'.

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

http://journal.frontiersin.org/article/10.3389/fmicb.2016.00949/full

The validated model and other tools developed for the prediction of biofilm inhibiting peptides are available

freely as a webserver at http://metagenomics.iiserb.ac.in/biofin/ and http://metabiosys.iiserb.ac.in/biofin/

ProInflam: a webserver for the prediction of proinflammatory antigenicity of peptides and proteins

Time to predict the proinflammatory antigenicity of peptides and proteins using a recent machine learning based tool 'ProInflam'.

A recent publication out from our lab. Please explore and write back to (sudheer@iiserb.ac.in) in case

of any problem. Comments are welcome.

http://www.ncbi.nlm.nih.gov/pubmed/27301453

The prediction model for epitope mapping and similarity search are provided as a comprehensive webserver.

Available at http://metagenomics.iiserb.ac.in/proinflam/ and http://metabiosys.iiserb.ac.in/proinflam/