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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