蛋白质跨膜区预测(ProtTM)

本工具用于蛋白跨膜结构预测,统一支持跨膜 α 螺旋与 β-桶体系,不限物种来源。输入支持多条 FASTA 序列,适用于候选蛋白的批量初筛、膜蛋白表达方案评估、以及信号肽与跨膜区联合判断场景。

模型输出包含全局类别判定、残基层级拓扑标签、跨膜区段边界与信号肽切割位点信息。请注意:该工具用于拓扑结构判定,不直接用于亚细胞定位结论。

1. 蛋白质序列(支持10条 FASTA):

已解析序列数: 0,总残基数: 0



标签说明(残基层级)

  • B:Beta Strand (TM),跨膜 β 折叠链
  • I:Inside (Cytoplasm),膜内侧/胞质侧
  • O:Outside (Extracellular),膜外侧/胞外侧
  • M:Alpha Helix (TM),跨膜 α 螺旋
  • P:Periplasm,周质空间区域
  • S:Signal Peptide,信号肽区域

模型性能指标

[k-fold Per-Class Performance (Residue Level)]
Class    | Support  | Precision  | Recall     | F1         | MCC
--------------------------------------------------------------------------
B        | 1458     | 0.8206     | 0.8409     | 0.8306     | 0.8291
I        | 108316   | 0.9876     | 0.9971     | 0.9924     | 0.9765
M        | 5651     | 0.8990     | 0.8614     | 0.8798     | 0.8758
O        | 40637    | 0.9688     | 0.9627     | 0.9657     | 0.9542
P        | 2183     | 0.8512     | 0.6422     | 0.7321     | 0.7364
S        | 2922     | 0.9878     | 0.9706     | 0.9791     | 0.9788
==========================================================================================

BENCHMARK REPORT (Filtered Test Set)
====================================================================================
Total Residues Evaluated: 2500818
Overall Accuracy:         0.9838
Overall MCC:              0.9087
Balanced Accuracy:        0.8893
Macro Precision/Recall/F1:0.9133 / 0.8893 / 0.9005
Weighted P/R/F1:          0.9856 / 0.9838 / 0.9846
Micro P/R/F1:             0.9856 / 0.9838 / 0.9847
Classes absent in y_true for this benchmark split: P
Mean Sequence Accuracy:   0.9719
Median Sequence Accuracy: 1.0000
Sequence Exact Match:     0.8406

[Per-Protein Classification]
Protein Accuracy:         0.9806
Protein MCC:              0.9402
Protein Macro P/R/F1:     0.8568 / 0.9384 / 0.8799
Type       | Support  | Precision  | Recall     | F1
------------------------------------------------------------------
GLOBULAR   | 4044     | 0.9940     | 0.9879     | 0.9909
SIGNAL     | 273      | 0.9464     | 0.9707     | 0.9584
TM         | 566      | 0.9360     | 0.9558     | 0.9458
SP+TM      | 15       | 0.5000     | 1.0000     | 0.6667
BETA       | 63       | 0.9074     | 0.7778     | 0.8376

[Signal Peptide Metrics]
SP Presence Acc/MCC:      0.9950 / 0.9590
SP Presence P/R/F1:       0.9307 / 0.9936 / 0.9611
CS Exact Accuracy (true SP):   0.8167
CS Relaxed@±2 (true SP): 0.9068
CS Exact P/R/F1:          0.7651 / 0.8167 / 0.7900
CS Relaxed P/R/F1:        0.8494 / 0.9068 / 0.8771

[Per-Segment Metrics]
Segment  | TP     | FP     | FN     | Precision  | Recall     | F1         | BoundaryMAE
----------------------------------------------------------------------------------------------------
B        | 700    | 256    | 111    | 0.7322     | 0.8631     | 0.7923     | 1.3743
M        | 2359   | 1725   | 668    | 0.5776     | 0.7793     | 0.6635     | 1.9532
S        | 287    | 70     | 24     | 0.8039     | 0.9228     | 0.8593     | 0.1498
TM       | 3059   | 1981   | 779    | 0.6069     | 0.7970     | 0.6891     | 1.8207

[Per-Class Performance (Residue Level)]
Class    | Support  | Precision  | Recall     | F1         | MCC        | Specificity
------------------------------------------------------------------------------------------------
B        | 7210     | 0.7967     | 0.7456     | 0.7703     | 0.7701     | 0.9994
I        | 2263185  | 0.9945     | 0.9931     | 0.9938     | 0.9355     | 0.9480
M        | 64393    | 0.9080     | 0.8096     | 0.8560     | 0.8539     | 0.9978
O        | 158275   | 0.8990     | 0.9331     | 0.9157     | 0.9101     | 0.9929
P        | 0        | 0.0000     | 0.0000     | 0.0000     | 0.0000     | 0.9981
S        | 7755     | 0.9683     | 0.9649     | 0.9666     | 0.9665     | 0.9999
====================================================================================