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LFM-Pro: a tool for detecting significant local structural sites in proteins
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Date
2007-03-15
Author
Sacan, Ahmet
Ozturk, Ozgur
Ferhatosmanoglu, Hakan
Wang, Yusu
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Motivation: The rapidly growing protein structure repositories have opened up new opportunities for discovery and analysis of functional and evolutionary relationships among proteins. Detecting conserved structural sites that are unique to a protein family is of great value in identification of functionally important atoms and residues. Currently available methods are computationally expensive and fail to detect biologically significant local features.
Subject Keywords
Statistics and Probability
,
Computational Theory and Mathematics
,
Biochemistry
,
Molecular Biology
,
Computational Mathematics
,
Computer Science Applications
URI
https://hdl.handle.net/11511/67849
Journal
BIOINFORMATICS
DOI
https://doi.org/10.1093/bioinformatics/btl685
Collections
Department of Computer Engineering, Article
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A. Sacan, O. Ozturk, H. Ferhatosmanoglu, and Y. Wang, “LFM-Pro: a tool for detecting significant local structural sites in proteins,”
BIOINFORMATICS
, pp. 709–716, 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67849.