databases > DOI:10.25504/FAIRsharing.wv5q9d

ready ProtoNet

General Information
This resource is a hierarchical clustering of UniProt protein sequences into hierarchical trees. This resource allows for the study of sub-family and super-family of a protein, using UniRef50 clusters.

How to cite this record ProtoNet; ProtoNet; DOI:; Last edited: Jan. 8, 2019, 1:14 p.m.; Last accessed: Jan 19 2019 10:26 a.m.

Record updated: Jan. 10, 2018, 11:52 a.m. by The FAIRsharing Team.

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ProtoNet: hierarchical classification of the protein space.

Sasson O., Vaaknin A., Fleischer H., Portugaly E., Bilu Y., Linial N., Linial M.,
Nucleic Acids Res. 2003

View Paper (PubMed)

ProtoNet 4.0: a hierarchical classification of one million protein sequences.

Kaplan N., Sasson O., Inbar U., Friedlich M., Fromer M., Fleischer H., Portugaly E., Linial N., Linial M.,
Nucleic Acids Res. 2005

View Paper (PubMed)

Fishing with (Proto)Net-a principled approach to protein target selection.

Linial M.,
Comp. Funct. Genomics 2003

View Paper (PubMed)

Connect the dots: exposing hidden protein family connections from the entire sequence tree.

Loewenstein Y., Linial M.,
Bioinformatics 2008

View Paper (PubMed)

Efficient algorithms for accurate hierarchical clustering of huge datasets: tackling the entire protein space.

Loewenstein Y., Portugaly E., Fromer M., Linial M.,
Bioinformatics 2008

View Paper (PubMed)

Functional annotation prediction: all for one and one for all.

Sasson O., Kaplan N., Linial M.,
Protein Sci. 2006

View Paper (PubMed)

A functional hierarchical organization of the protein sequence space.

Kaplan N., Friedlich M., Fromer M., Linial M.,
BMC Bioinformatics 2004

View Paper (PubMed)

A robust method to detect structural and functional remote homologues.

Shachar O., Linial M.,
Proteins 2004

View Paper (PubMed)

ProtoNet 6.0: organizing 10 million protein sequences in a compact hierarchical family tree.

Rappoport N,Karsenty S,Stern A,Linial N,Linial M
Nucleic Acids Res 2011

View Paper (PubMed) View Publication

ProtoNet: charting the expanding universe of protein sequences.

Rappoport N,Linial N,Linial M
Nat Biotechnol 2013

View Paper (PubMed) View Publication