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Table 3 Ten FEATURE predictions confirmed by direct experimental evidence.

From: Prediction of calcium-binding sites by combining loop-modeling with machine learning

  

Loop

 

FEATURE score

Protein name

Protein ID Chain ID

Start

End

Sequence

SiteDis (Ã…)

Gap

Loop

VITAMIN B12 RECEPTOR

1NQG_A

231

241

AYYSPGSPLLD

2.06

42.41

91.49

BEAN LECTIN-LIKE INHIBITOR

1DHK_B

89

96

VQPE SKGD

3.40

27.35

61.10

  1. Two predictions of which calcium binding have been observed experimentally near the predicted sites. Column 2 lists protein name that is PDB code followed by the chain identifier. We build structures for gaps of which 3D structures are not presented in the original PDB files. Information of these structures, referred as "loop", is given in column 3-5. Column 6 lists the distances between the predicted sites and the experimentally observed sites (SiteDis). Column 7 and 8 list FEATURE scores at the predicted sites in the structures where loop structures are missing (Gap) and the structures of which loop structures were rebuilt by modeling methods (Loop). These two are holo structures, but their calcium-binding sites are not completely structured. FEATURE is able to identify these sites in the presence of the rebuilt loop structures.