Protein-protein interactions are central to understanding the functional relationship between proteins. We have curated the available information and augmented with context-specific analysis to ease your research journey.
This is an indigenously developed web-based application designed by Dr. Samrat Chatterjee and his group, which can generate context-specific directional PPI networks from the input proteins and detect their biological and topological importance in the network. konnect2prot (k2p) contains data curated from various databases with multidimensional information to build a network relevant to the end user. This platform is also equipped with network algorithms that can further enhance the decision making process.
We study biological systems in their entirety or in fragments through the lens of system biology. The former covers topics such as network biology, machine learning-based drug discovery, and so forth, while the latter covers various differential equation based kinetic models. The group is supervised by Dr. Samrat Chatterjee and consists of post doctoral fellows, PhD student and research fellows. They are mainly from mathematical and computational backgrounds keen to work on biological problems in an interdisciplinary environment.
Read MoreSome significant recent publications from the group.
Directionality
Context-specificity
Spreaders
Network topology
Structural information
Enrichment analysis
Disease interactome
PTM
Protein classes
Other contributers: Ekant Sharma, Komal Sharma, Krishna
We would like to thank DBT for proving us the finanical support for this project.
Funding body by Govt. of India
We would like to thank OmniPath for providing directional relationship of protein pairs.
Directional database for PPI
We would like to thank signor for providing directional relationship of protein pairs.
Directional database for PPI
We would like to thank disgenet for providing disease information related to protein.
Disease database
We would like to thank KEGG for providing information of biological pathways associated with proteins.
Biological pathway database
We would like to thank GO for providing information of biological process and molecular functions associated with proteins.
Biological ontology database
We would like to thank HPA for providing information of tissue specific expression and subcellular associated with proteins.
Human Protein Atlas
We would like to thank THSTI for providing the infrastructure to carry out the work.
THSTI
We would like to thank uniprot for providing detailed information of protein charaterstics including its functions and pathways.
Protein information database
We would like to thank Enrichr for providing enrichment score of pathway, functions and diseases.
Protein enrichment webserver
We would like to thank PDB for providing structure related information.
Protein structure database
We would like to thank DGIdb for providing information of ligands and classes associated with proteins.
Drug target database
We would like to thank signalink for providing information of signalling pathways associated with proteins.
Signalling pathway database
We would like to thank DoCM for providing information of disease-causing mutations associated with proteins.
Disease mutation database
We would also like to pass our gratitude to open source software develpers of Flask, Python, Dash (Plotly), MongoDB.
We have made this far on our own, collectively we can accomplish much more !!!