Skip to main content

Table 2 Second benchmark of amino acids sequences in HP model [21]

From: Protein folding prediction in the HP model using ions motion optimization with a greedy algorithm

Sequence length E *1 Amino acids sequence*2
1 12 −11 1(10)51
2 14 −11 1100(10)5
3 14 −11 1(100)2(10)31
4 16 −11 110(100)41
5 16 −11 1(100)2(10)3010
6 17 −11 1(100)51
7 17 −17 1(11)711
8 20 − 17 1(100)2(10)3(01)31
9 20 −17 1(10)41(001)31
10 21 −17 1(100)2(10100)21011
11 21 −17 110(100)2(10)2(100)211
12 21 −17 1100(10)3(01)2(001)21
13 22 −17 1(100)2(10)3(010)2011
14 23 −25 11(10)9111
15 24 −17 1(100)711
16 24 −25 11(10)3(01)711
17 24 −25 11(10)4(01)611
18 30 −25 11(100)41(01001)200111
19 30 −25 11(100)3(10)2(01)2(001)311
20 37 −29 11(100)3(10)21(001)3(0)5(10)2111
  1. *1E is the best energy value in 2D HP model. E is calculated by the following formula as described previously [9, 10] as mentioned in formula (1) to (3)
  2. *20 represents hydrophobic (H); 1 represents polarity (P) in amino acids sequence; (…)i represents i-fold repetitions of the respective subsequence in data