Visitors   Views   Downloads

Prediction of interface residue based on features of residue interaction network extracted using shapley value centrality measure

View preprint
My preprint has been published today in @PeerJPreprints https://t.co/lcZSuUTxPs #Bioinformatics #ComputationalScience
Prediction of interface residue based on features of residue interaction network extracted using shapley value centrality measure https://t.co/DLPFmwYYCW
113 days ago
Prediction of interface residue based on features of residue interaction network extracted using shapley value centrality measure https://t.co/Tvd2tFAKq5
NOT PEER-REVIEWED
"PeerJ Preprints" is a venue for early communication or feedback before peer review. Data may be preliminary.

Supplemental Information

Additional Information

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Babita Pandey analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the paper.

Sarneet K Chawla conceived and designed the experiments, performed the experiments.

Devendra K Pandey contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper, approved the final draft.

Data Deposition

The following information was supplied regarding data availability:

The PDB data used in work is freely available online. All the sequences of protein for RS126 are provided in the Supplemental File.

Funding

The authors received no funding for this work.


Add your feedback

Before adding feedback, consider if it can be asked as a question instead, and if so then use the Question tab. Pointing out typos is fine, but authors are encouraged to accept only substantially helpful feedback.

Some Markdown syntax is allowed: _italic_ **bold** ^superscript^ ~subscript~ %%blockquote%% [link text](link URL)
 
By posting this you agree to PeerJ's commenting policies