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Table 1 The recent developments, in chronological order, for real value ASA prediction

From: Real value prediction of protein solvent accessibility using enhanced PSSM features

Work

Regression tool

Description of features

MAE (%)1

Ahmad et al., 2003

NN2

Amino acid composition

18.8

Yuan and Huang, 2004

SVR3

Amino acid composition

18.5

Adamczak et al., 2004

NN

PSSM4

15.3–15.85

Wang et al., 2005

MLR6

Amino acid composition, PSSM and sequence length

16.2

Garg et al., 2005

NN

PSSM and secondary structure information

15.9

Nguyen and Rajapakse, 2006

Two-stage SVR

PSSM

15.7

  1. 1Mean absolute error of real RSA values. All the methods were evaluated with a three-fold cross-validation on the Barton dataset, except Adamczak et al. used their own dataset. 2Neural network. 3Support vector regression. 4Position specific scoring matrix. 5The MAEs reported in this work were evaluated on a different dataset to other works. 6Multiple linear regression.