2005
DOI: 10.1007/11424826_136
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Protein Structure Abstractionand Automatic Clustering Using Secondary Structure Element Sequences

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Cited by 2 publications
(2 citation statements)
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“…It is used to identify domains, classify proteins and recognize functional motifs [13]. Since secondary structure elements are general representation of protein structure, it is used to cluster a set of proteins at the abstraction level [11]. The amount of data required to abstract protein structure is reduced by representing it with secondary structure element sequence.…”
Section: Fig 1 the Working Flow Of Proposed Workmentioning
confidence: 99%
See 1 more Smart Citation
“…It is used to identify domains, classify proteins and recognize functional motifs [13]. Since secondary structure elements are general representation of protein structure, it is used to cluster a set of proteins at the abstraction level [11]. The amount of data required to abstract protein structure is reduced by representing it with secondary structure element sequence.…”
Section: Fig 1 the Working Flow Of Proposed Workmentioning
confidence: 99%
“…Sung Hee Park et al, [11] used k-means clustering algorithm for clustering protein secondary structures and distances between proteins are calculated using dynamic programming. But this method needs a number of clusters which are to be used in an initial state.…”
Section: Introductionmentioning
confidence: 99%