SeRenDIP PPI interface prediction example P0DTD2 — Name: SARS-CoV-2 Protein 9b


		SeRenDIP PPI interface prediction Resultsnew job

In the table below you can see the example P0DTD2 — Name: SARS-CoV-2 Protein 9b — UniProtKB: ORF9B_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

89 of 89 rows match filter(s)

5 I 0.576 I

6 S 0.546 I

7 E 0.618 I

8 M 0.572 I

9 H 0.634 I

10 P 0.554 I

11 A 0.614 I

12 L 0.506 I

13 R 0.594 I

14 L 0.566 I

15 V 0.516 I

16 D 0.528 I

17 P 0.490 NI

18 Q 0.548 I

19 I 0.442 NI

20 Q 0.556 I

21 L 0.534 I

22 A 0.542 I

23 V 0.556 I

24 T 0.578 I

25 R 0.598 I

26 M 0.580 I

27 E 0.510 I

28 N 0.562 I

29 A 0.524 I

30 V 0.508 I

31 G 0.484 NI

32 R 0.524 I

33 D 0.530 I

34 Q 0.490 NI

35 N 0.500 NI

36 N 0.458 NI

37 V 0.478 NI

38 G 0.512 I

39 P 0.506 I

40 K 0.470 NI

41 V 0.448 NI

42 Y 0.496 NI

43 P 0.500 NI

44 I 0.530 I

45 I 0.480 NI

46 L 0.508 I

47 R 0.544 I

48 L 0.562 I

49 G 0.564 I

50 S 0.562 I

51 P 0.524 I

52 L 0.474 NI

53 S 0.474 NI

54 L 0.442 NI

55 N 0.530 I

56 M 0.584 I

57 A 0.504 I

58 R 0.444 NI

59 K 0.552 I

60 T 0.592 I

61 L 0.526 I

62 N 0.438 NI

63 S 0.488 NI

64 L 0.490 NI

65 E 0.454 NI

66 D 0.456 NI

67 K 0.504 I

68 A 0.550 I

69 F 0.486 NI

70 Q 0.498 NI

71 L 0.490 NI

72 T 0.508 I

73 P 0.590 I

74 I 0.544 I

75 A 0.568 I

76 V 0.478 NI

77 Q 0.534 I

78 M 0.568 I

79 T 0.522 I

80 K 0.548 I

81 L 0.518 I

82 A 0.532 I

83 T 0.618 I

84 T 0.562 I

85 E 0.538 I

86 E 0.598 I

87 L 0.532 I

88 P 0.500 NI

89 D 0.502 I

90 E 0.506 I

91 F 0.528 I

92 V 0.516 I

93 V 0.476 NI

SeRenDIP PPI interface prediction Resultsnew job