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Table 1 Summary of prediction accuracy for the proposed method and other methods

From: Prediction of protein motions from amino acid sequence and its application to protein-protein interaction

(A) Internal motion

Method

MAE

CC

AUC

 

avg.

avg.

SD

1

0

-1

proposed method (PHD & RVPnet)

0.621

0.482

0.183

0.743

0.765

0.768

proposed method (psipred & sable)

0.605

0.525

0.197

0.759

0.786

0.791

naïve model (PHD)

0.988

0.248

0.161

0.633

0.653

0.688

naïve model (psipred)

0.952

0.293

0.175

0.666

0.672

0.708

PROFbval

0.743

0.367

0.199

0.711

0.693

0.698

POODLE-S

-

-

-

0.713

0.730

0.755

FlexPred

-

-

-

0.751

0.741

0.768

(B) External motion

Method

MAE

CC

AUC

 

avg .

avg .

SD

1

0

-1

proposed method (PHD & RVPnet)

0.571

0.541

0.188

0.770

0.777

0.81

proposed method (psipred & sable)

0.542

0.597

0.209

0.806

0.806

0.843

naïve model (PHD)

0.970

0.262

0.135

0.650

0.661

0.697

naïve model (psipred)

0.929

0.320

0.145

0.685

0.681

0.733

PROFbval

0.608

0.547

0.167

0.785

0.784

0.844

POODLE-S

-

-

-

0.756

0.783

0.841

FlexPred

-

-

-

0.791

0.777

0.817

  1. Herein, avg. and SD respectively signify the average and standard deviation. The highest scores in each criterion are underlined. Here, -1, 0, and 1 are threshold values used to discriminate rigid and flexible classes for plotting the ROC curve. PROFbval, POODLE-S, and FlexPred were performed using the default parameters. Here, POODLE-S and FlexPred respectively produced disorder probability and probability of flexible label. Therefore, MAE and CC were not calculated. The AUC for POODLE-S and FlexPred were calculated using data of normalized disorder probabilities and probabilities of flexible labels.