Department of Computer Science
 Rutgers University

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RemoteHomologues: Identifying clusters of remote homologues

Detecting proteins which share a common ancestor is an important step in understanding protein structure and function. Multi-domain proteins normally cause problems due to spurious similarities they induce; with a simple graph-based approach based on the concept of asymmetric similarity we were able to clearly outperform PSI-Blast.

Publications

Pipenbacher, P. and Schliep, A. and Schneckener, S. and Schönhuth, A. and Schomburg, D. and Schrader, R.. ProClust: improved clustering of protein sequences with an extended graph-based approach (2002) [details]

Bolten, E. and Schliep, A. and Schneckener, S. and Schomburg, D. and Schrader, R.. Clustering protein sequences-structure prediction by transitive homology (2001) [details]

Pipenbacher, Peter. Evaluation and extension of a graph based clustering approach for the detection of remote homologs (2001) [details]

Bolten, Eva. A graph based clustering method for the detection of remote homolog protein sequences (2000) [details]

Contact: Alexander Schliep (schliep@cs.rutgers.edu).