Graphlet kernels for prediction of functional residues in protein structures.
about
Systematically differentiating functions for alternatively spliced isoforms through integrating RNA-seq dataExploring the structure and function of temporal networks with dynamic graphletsGraphlet signature-based scoring method to estimate protein-ligand binding affinityMining the entire Protein DataBank for frequent spatially cohesive amino acid patterns.Biological function derived from predicted structures in CASP11.Fingerprint Kernels for Protein Structure Comparison.Structure-based kernels for the prediction of catalytic residues and their involvement in human inherited disease.The Loss and Gain of Functional Amino Acid Residues Is a Common Mechanism Causing Human Inherited DiseaseCutoff lensing: predicting catalytic sites in enzymes.IncGraph: Incremental graphlet counting for topology optimisation.From homogeneous to heterogeneous network alignment via colored graphlets
P2860
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P2860
Graphlet kernels for prediction of functional residues in protein structures.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
2010年论文
@zh
2010年论文
@zh-cn
name
Graphlet kernels for prediction of functional residues in protein structures.
@en
Graphlet kernels for prediction of functional residues in protein structures.
@nl
type
label
Graphlet kernels for prediction of functional residues in protein structures.
@en
Graphlet kernels for prediction of functional residues in protein structures.
@nl
prefLabel
Graphlet kernels for prediction of functional residues in protein structures.
@en
Graphlet kernels for prediction of functional residues in protein structures.
@nl
P2860
P50
P356
P1476
Graphlet kernels for prediction of functional residues in protein structures.
@en
P2093
Stefano Lonardi
P2860
P356
10.1089/CMB.2009.0029
P577
2010-01-01T00:00:00Z