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OPENSEQ.org

Hsp70_Arch

ID: 1402403117 Query Sequence

Download Alignment
We filter this alignment to remove positions that have > 75% gaps before running GREMLIN.
Length: 613 (606)
Sequences: 5426 (2879.3)
Seq/Len: 8.954
Nf(neff/√len): 117.0

Jackhmmer Results: (2014_04_16)
Sequences per length for each position, BEFORE the coverage/gap filter was applied

Legend: Dots above the red line, indicates positions where there is > 5 sequences per length (if visible, green bar = 20 seq/len). Point of this graphic is to give you an idea if resubmitting a sub-portion of your sequence might help increase the overall Seq/Len (which after applying the coverage filter is at: 8.954).

Sequences per length for each position, AFTER the coverage/gap filter was applied
Legend: If visible, the positions blocked in grey are regions that have > 75% gaps and were automatically trimmed and excluded in the GREMLIN analysis.

Trim query Generate MSA using: Filter MSA GREMLIN
Start: End: E-value: Iterations: Coverage: Remove gaps: Prior:

GREMLIN Results:
Residue pairs sorted by coevolution strength:

Legend: The darker and larger the blue dots, the higher strength in covariance. Below we provide the list of the top [1.5 x length] covarying residues with sequence seperation > 3. The i and j are positions as given in the input sequence.

ij Scaled score Prob
200_D291_R5.6401.00
117_E144_D5.1371.00
211_A287_P4.7701.00
212_I276_L3.9931.00
72_A206_T3.9671.00
173_F292_V3.7371.00
184_I299_A3.4231.00
330_E336_K3.3641.00
29_S40_F3.1411.00
374_T386_P3.0801.00
196_S299_A3.0571.00
217_A229_R3.0561.00
327_K331_D2.9811.00
219_D280_K2.8501.00
254_S275_T2.8191.00
415_H429_S2.8021.00
342_D345_E2.7301.00
413_T434_N2.6281.00
171_L182_V2.5941.00
319_P322_I2.5191.00
385_T402_F2.5141.00
117_E146_K2.4781.00
498_Y501_Q2.4241.00
485_K489_E2.4161.00
386_P389_P2.3941.00
523_E549_R2.3771.00
104_K108_E2.3461.00
4_I146_K2.3451.00
175_L208_M2.2961.00
216_I274_M2.2881.00
285_I322_I2.2691.00
281_L319_P2.2591.00
326_R339_G2.2411.00
417_V429_S2.2241.00
561_K565_D2.2131.00
37_G56_E2.1741.00
5_I16_A2.1441.00
280_K283_E2.1431.00
496_E499_A2.1251.00
208_M288_I2.1241.00
216_I242_A2.1131.00
465_V472_K2.0931.00
490_R494_E2.0911.00
539_E543_N2.0881.00
293_K332_Y2.0621.00
556_N559_N2.0491.00
171_L184_I2.0381.00
210_E214_N2.0151.00
52_M98_F2.0101.00
328_Y331_D1.9961.00
281_L322_I1.9951.00
84_K87_D1.9811.00
515_A548_L1.9781.00
219_D222_K1.9741.00
376_S384_A1.9601.00
105_K109_A1.9551.00
289_V324_Y1.9501.00
213_V239_R1.9151.00
294_G298_K1.9051.00
256_D273_K1.9031.00
550_K553_E1.8911.00
542_T546_K1.8601.00
15_A26_V1.8461.00
4_I355_G1.8451.00
546_K550_K1.8411.00
559_N563_L1.8381.00
184_I310_I1.8341.00
68_G86_F1.8301.00
573_E576_A1.8041.00
534_D537_T1.7941.00
139_T485_K1.7751.00
294_G297_D1.7521.00
500_E504_K1.7521.00
565_D569_K1.7431.00
368_L393_T1.7421.00
321_R344_M1.7371.00
503_R507_E1.7331.00
212_I242_A1.7301.00
576_A580_Q1.7301.00
530_G538_K1.7161.00
286_S290_E1.7151.00
132_Q136_D1.7101.00
103_I106_D1.7031.00
15_A39_A1.7001.00
312_K338_E1.6991.00
121_T351_A1.6981.00
243_E247_I1.6911.00
537_T577_K1.6571.00
415_H432_M1.6541.00
216_I238_L1.6461.00
139_T144_D1.6271.00
17_A352_A1.6241.00
285_I289_V1.6171.00
96_S134_T1.6071.00
138_G148_I1.5961.00
17_A348_A1.5951.00
399_S449_E1.5891.00
413_T432_M1.5811.00
9_L134_T1.5721.00
257_I276_L1.5681.00
102_K106_D1.5661.00
423_L509_I1.5661.00
216_I257_I1.5661.00
20_I25_T1.5631.00
297_D332_Y1.5511.00
90_F95_I1.5481.00
84_K89_E1.5431.00
280_K284_L1.5401.00
293_K297_D1.5381.00
399_S451_T1.5321.00
489_E493_K1.5181.00
73_A99_I1.5151.00
224_E270_K1.5001.00
282_E327_K1.4981.00
46_F98_F1.4961.00
245_A255_T1.4921.00
493_K496_E1.4871.00
38_K345_E1.4861.00
175_L180_L1.4781.00
93_Q136_D1.4771.00
493_K497_Q1.4771.00
218_D229_R1.4761.00
241_A245_A1.4721.00
494_E497_Q1.4661.00
76_K79_T1.4581.00
535_K539_E1.4541.00
67_E232_R1.4511.00
571_I575_G1.4480.99
386_P422_P1.4360.99
228_L262_I1.4350.99
171_L296_I1.4340.99
168_E312_K1.4230.99
2_S117_E1.4180.99
215_Y280_K1.4150.99
215_Y276_L1.4110.99
14_S103_I1.4060.99
371_T454_I1.4030.99
73_A95_I1.4030.99
98_F101_Q1.3990.99
94_Q98_F1.3970.99
27_I110_F1.3970.99
329_V337_A1.3920.99
519_A549_R1.3900.99
306_K309_E1.3790.99
208_M281_L1.3760.99
544_E547_D1.3750.99
208_M322_I1.3720.99
543_N547_D1.3700.99
169_K195_L1.3670.99
9_L100_L1.3670.99
245_A257_I1.3670.99
293_K328_Y1.3650.99
568_S572_Q1.3630.99
423_L426_D1.3580.99
136_D139_T1.3570.99
283_E286_S1.3470.99
73_A83_F1.3450.99
150_N369_D1.3320.99
265_T270_K1.3310.99
379_T385_T1.3310.99
519_A548_L1.3310.99
297_D301_E1.3280.99
384_A417_V1.3250.99
195_L305_L1.3240.99
522_V571_I1.3240.99
215_Y284_L1.3010.99
70_I95_I1.2990.99
120_I138_G1.2950.99
11_T178_G1.2930.99
547_D563_L1.2920.99
45_A61_Q1.2910.99
277_T280_K1.2870.99
299_A303_A1.2870.99
46_F90_F1.2860.99
184_I305_L1.2820.98
61_Q65_N1.2800.98
169_K186_D1.2790.98
439_A468_A1.2740.98
44_V95_I1.2650.98
146_K358_L1.2630.98
198_S295_P1.2560.98
219_D274_M1.2550.98
417_V424_A1.2540.98
484_S487_E1.2530.98
9_L96_S1.2490.98
285_I324_Y1.2480.98
298_K302_G1.2450.98
447_Q467_K1.2440.98
563_L566_K1.2430.98
499_A503_R1.2410.98
16_A103_I1.2410.98
572_Q575_G1.2390.98
538_K542_T1.2350.98
73_A96_S1.2350.98
289_V328_Y1.2350.98
569_K573_E1.2300.98
171_L333_L1.2230.98
300_L305_L1.2180.98
429_S432_M1.2170.98
300_L307_K1.2160.98
135_K459_I1.2110.98
180_L292_V1.2050.97
248_E255_T1.2000.97
535_K542_T1.2000.97
211_A285_I1.1980.97
562_T566_K1.1980.97
169_K305_L1.1890.97
258_D273_K1.1790.97
215_Y274_M1.1770.97
43_Y71_F1.1730.97
298_K301_E1.1690.97
75_R207_D1.1680.97
208_M285_I1.1670.97
212_I215_Y1.1670.97
573_E577_K1.1660.97
19_V356_A1.1660.97
324_Y327_K1.1560.97
385_T400_Q1.1430.96
150_N153_T1.1420.96
65_N68_G1.1370.96
74_K151_E1.1340.96
24_P349_I1.1290.96
511_L564_M1.1270.96
104_K143_F1.1220.96
572_Q576_A1.1200.96
241_A255_T1.1200.96
491_M494_E1.1190.96
544_E548_L1.1160.96
302_G390_A1.1130.95
378_E415_H1.1120.95
12_S177_G1.1110.95
547_D566_K1.1100.95
554_E559_N1.1050.95
19_V24_P1.1040.95
519_A545_V1.1020.95
374_T420_E1.1020.95
567_L570_D1.1020.95
77_M134_T1.0980.95
276_L281_L1.0960.95
549_R553_E1.0960.95
198_S298_K1.0950.95
296_I329_V1.0890.95
569_K572_Q1.0880.95
521_S525_T1.0850.95
327_K330_E1.0850.95
507_E561_K1.0840.95
523_E527_N1.0760.94
265_T268_G1.0750.94
401_I449_E1.0730.94
30_S106_D1.0680.94
152_P181_D1.0660.94
97_A140_I1.0650.94
8_D11_T1.0610.94
526_L538_K1.0600.94
441_A466_D1.0600.94
500_E503_R1.0570.94
514_N564_M1.0570.94
211_A288_I1.0560.93
131_R150_N1.0550.93
522_V541_L1.0550.93
74_K178_G1.0470.93
537_T540_R1.0460.93
397_R451_T1.0460.93
577_K580_Q1.0430.93
305_L310_I1.0420.93
411_T434_N1.0420.93
198_S201_T1.0420.93
522_V545_V1.0400.93
106_D109_A1.0370.93
26_V349_I1.0350.93
560_V567_L1.0270.92
278_R282_E1.0260.92
217_A238_L1.0240.92
566_K570_D1.0240.92
544_E566_K1.0200.92
151_E181_D1.0190.92
305_L309_E1.0170.92
544_E570_D1.0170.92
286_S324_Y1.0130.92
511_L561_K1.0130.92
29_S32_G1.0120.91
79_T82_K1.0120.91
421_R502_D1.0100.91
513_N520_Y1.0100.91
76_K81_Y1.0080.91
6_G10_G1.0070.91
38_K342_D1.0060.91
297_D307_K1.0050.91
565_D568_S1.0050.91
256_D275_T1.0040.91
220_F272_I1.0020.91
Legend: Only predictions with Scaled Score > 1 are listed. For all 3L/2 predictions, click on one of the links below.
Prob = P(contact | scaled_score, seq/len).
Scaled Score = (raw_score/average(raw_scores)).
NEW Features
HHsearch Results: (07Jun14)
GREMLIN results overlayed on top 10 PDB hits:
Legend: Blue filled circles are GREMLIN results (Scaled Score > 1). The grey/red filled circles underneath are pdb residue contacts (min distance < 5 Angstroms). The shade of the circles is based on 10 HHsearch results which uses the overall probability and per-position alignment confidence. Inter oligomeric contacts in the pdb are in shades of red.
PDB M Cov P(%) HHΔ  
3d2fA20.94451000.151Contact Map
4jneA20.93311000.169Contact Map
4fl9A10.82871000.221Contact Map
2v7yA10.82221000.256Contact Map
4j8fA10.8321000.459Contact Map
4kboA10.5711000.477Contact Map
3qfuA10.5711000.484Contact Map
3i33A10.56931000.489Contact Map
4gniA20.56611000.511Contact Map
1jceA10.52531000.651Contact Map
M = number of chains, if homo-oligomer
Cov = coverage of hit
P(%) = probability

Sequence Conservation (Image Generated using WebLogo v3)
Legend: Color is used to show Hydrophobicity (Blue: Hydrophilic, Green: Neutral and Black: Hydrophobic). Amount of gaps is represented by width.

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