 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q8BG95 from www.uniprot.org...
The NucPred score for your sequence is 0.91 (see score help below)
1 MAELEHLGGKRAESARARRAEQLRRWRGSLTEQEPAERQGAGRQLQTRRG 50
51 SPRVRFEDGAVFLAACSSGDTDEVKKLLARGADINTVNVDGLTALHQACI 100
101 DENLDMVKFLVENRANVNQQDNEGWTPLHAAASCGYLNIAEYFISHGASV 150
151 GIVNSEGEVPSDLAEEPAMKDLLLEQVKKQGVDLEQSRKEEEQQMLQDAR 200
201 QWLNSGRIEDVRQARSGATALHVAAAKGYSEVLRLLIQAGYELNVQDHDG 250
251 WTPLHAAAHWGVKEACSILAEALCDMDIRNKLGQTPFDVADEGLVEHLEM 300
301 LQKKQDVLRSEKETRNKLIESDLNSKFQSGLFKNKEKMLYEEEIPKSQDT 350
351 EEENKESSSSSSEEEEGEDEVSESETEKEADKKPEATVNHSNSEIKSRIM 400
401 EQIPAPAQNTFSASSARRLSSLFNKAEEPKDESPSSWRLGLRKTGSHNML 450
451 SEVANSREALRDRGSSIYRSSSSPRISALLDDKDKERENKSYFSMLVPRR 500
501 LSSTSDIEEKENRESAVNLVRSGSHTRQLWRDEAKGSETPQTIAPSTYTS 550
551 TYLKRTPYKSQADSTAEKTADSVSSSTPLCVITNRPAPSTANGVPAATVF 600
601 SSAGTDPSVEAREKRRSYLTPVRDEEAESLRKARSRQARQTRRSTQGVTL 650
651 TDLQEAEKTFSRSRAERQAQEQPGEKLEDPGGLEGSTKKQEPSAAPTKGA 700
701 GEGRSLEEEPIYHRLRYPTQPDKPTTPVSPSASRPSLYTGSHLLRTSRAS 750
751 GPDSENSETSTHATAAKEMDTSEKGEADLDDQSSNRLSVRERRRAKDRRR 800
801 GTGINFWTNDEDETDVSEEVKEALHERLSRLESGGTNPTSSDSYSDRASA 850
851 RARREAREARLASLTSRVEEDSNRDYKKLYESALTENQKLKTKLQEAQLE 900
901 LADIKAKLEKMAQQKQEKTSDRSSVLEVEKRERRALERKMSEMEEEMKVL 950
951 TELKSDNQRLKDENGALIRVISKLSK 976
Positively and negatively influencing subsequences are coloured according to the following scale:
(non-nuclear) negative ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| positive (nuclear)
What does the NucPred score mean?
| You have to decide on a NucPred score threshold. Sequences which score greater than or equal to this threshold are predicted to spend some time in the nucleus. Higher thresholds yield fewer predicted nuclear proteins, but these predictions are more accurate (you can have higher confidence in them). The table below gives more details of the performance of NucPred estimated using the sequences it was trained on (by cross-validation). Another benchmark is available in the Bioinformatics 2007 paper. |
| NucPred score threshold | Specificity | Sensitivity |
| see above | fraction of proteins predicted to be nuclear that actually are nuclear | fraction of true nuclear proteins that are predicted (coverage) |
| 0.10 | 0.45 | 0.88 |
| 0.20 | 0.52 | 0.83 |
| 0.30 | 0.57 | 0.77 |
| 0.40 | 0.63 | 0.69 |
| 0.50 | 0.70 | 0.62 |
| 0.60 | 0.71 | 0.53 |
| 0.70 | 0.81 | 0.44 |
| 0.80 | 0.84 | 0.32 |
| 0.90 | 0.88 | 0.21 |
| 1.00 | 1.00 | 0.02 |
| Sequences which score >= 0.8 with NucPred and which
are predicted by PredictNLS to contain an NLS have been shown to be 93% correct with a coverage of 16%. (PredictNLS by itself is 87% correct with 26% coverage on the same data.) |
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