SeRenDIP PPI interface prediction example P0DTC7 — Name: SARS-CoV-2 Protein 7a


		SeRenDIP PPI interface prediction Resultsnew job

In the table below you can see the SeRenDIP PPI interface prediction example P0DTC7 — Name: SARS-CoV-2 Protein 7a — UniProtKB: NS7A_SARS2 . The table contains sequence position, prediction scores and classification based on the default cut-off of 0.5 (above is predicted interaction).

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You can download the output file and the full feature table.

Please cite:

Qingzhen Hou¹, Reza Haydarlou, Bas Stringer, Katharina Waury, Henriette Capel, Sanne Abeln, Jaap Heringa, K. Anton Feenstra SeRenDIP-CE: Sequence-based Interface Prediction for Conformational Epitopes Bioinformatics advance 11 May 2021, doi: 10.1093/bioinformatics/btab321 ¹Department of Biostatistics, School of Public Health & National institute of health data science of China; Shandong 250002, P. R. China
Qingzhen Hou¹, Paul De Geest, Christian Griffioen, Sanne Abeln, Jaap Heringa, K. Anton Feenstra. SeRenDIP: remastered alignment profiles for fast and accurate predictions of PPI interface positions. Bioinformatics 35, pp 4794–4796, 2019, doi: 10.1093/bioinformatics/btz428
¹3BIO-BioInfo – BioModeling, BioInformatics & BioProcesses, Université Libre de Bruxelles
Qingzhen Hou, Paul De Geest, Wim F. Vranken, Jaap Heringa and K. Anton Feenstra
Seeing the Trees through the Forest: Sequence-based Homo- and Heteromeric Protein-protein Interaction sites prediction using Random Forest. Bioinformatics, 2017, doi: 10.1093/bioinformatics/btx005

Color better than threshold:

Sequence Combined Prediction

Pos AA Model Pred

x of 113 rows match filter(s)

5 L 0.544 I

6 F 0.610 I

7 L 0.692 I

8 A 0.728 I

9 L 0.716 I

10 I 0.696 I

11 T 0.678 I

12 L 0.648 I

13 A 0.662 I

14 T 0.644 I

15 C 0.512 I

16 E 0.588 I

17 L 0.578 I

18 Y 0.562 I

19 H 0.634 I

20 Y 0.548 I

21 Q 0.548 I

22 E 0.632 I

23 C 0.548 I

24 V 0.480 NI

25 R 0.560 I

26 G 0.646 I

27 T 0.598 I

28 T 0.584 I

29 V 0.618 I

30 L 0.650 I

31 L 0.688 I

32 K 0.632 I

33 E 0.588 I

34 P 0.614 I

35 C 0.526 I

36 S 0.554 I

37 S 0.526 I

38 G 0.570 I

39 T 0.518 I

40 Y 0.504 I

41 E 0.528 I

42 G 0.568 I

43 N 0.516 I

44 S 0.596 I

45 P 0.550 I

46 F 0.550 I

47 H 0.582 I

48 P 0.604 I

49 L 0.540 I

50 A 0.596 I

51 D 0.526 I

52 N 0.506 I

53 K 0.566 I

54 F 0.462 NI

55 A 0.498 NI

56 L 0.434 NI

57 T 0.524 I

58 C 0.522 I

59 F 0.548 I

60 S 0.540 I

61 T 0.564 I

62 Q 0.504 I

63 F 0.488 NI

64 A 0.558 I

65 F 0.530 I

66 A 0.498 NI

67 C 0.488 NI

68 P 0.552 I

69 D 0.522 I

70 G 0.572 I

71 V 0.578 I

72 K 0.552 I

73 H 0.530 I

74 V 0.572 I

75 Y 0.466 NI

76 Q 0.510 I

77 L 0.544 I

78 R 0.516 I

79 A 0.488 NI

80 R 0.486 NI

81 S 0.488 NI

82 V 0.520 I

83 S 0.536 I

84 P 0.534 I

85 K 0.568 I

86 L 0.596 I

87 F 0.568 I

88 I 0.562 I

89 R 0.538 I

90 Q 0.534 I

91 E 0.540 I

92 E 0.510 I

93 V 0.538 I

94 Q 0.544 I

95 E 0.552 I

96 L 0.524 I

97 Y 0.598 I

98 S 0.578 I

99 P 0.572 I

100 I 0.646 I

101 F 0.672 I

102 L 0.616 I

103 I 0.578 I

104 V 0.546 I

105 A 0.568 I

106 A 0.512 I

107 I 0.528 I

108 V 0.516 I

109 F 0.510 I

110 I 0.492 NI

111 T 0.574 I

112 L 0.510 I

113 C 0.486 NI

114 F 0.524 I

115 T 0.542 I

116 L 0.514 I

117 K 0.524 I

SeRenDIP PPI interface prediction Resultsnew job