View source for GO Terms LAMP1 HUMAN

===GOPET===

First, we predict the GO terms with GOPET.

<br><br>
[[Image:lamp1_human_gopet.png|center|Result of the GOPET prediction for LAMP1_HUMAN]]

The method only predicts functional GO terms. LAMP1_HUMAN has 0 annotated GO functions. The methods predicts 2 GO function terms. Therefore the predictions are wrong.
<br>
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=== Pfam ===
We used the webserver for our analysis. We decided to only trust the significant Pfam-A matches. To check if the predictions are correct we mapped the Pfam ids to the Go ids with help of a mapping website [[http://www.geneontology.org/external2go/pfam2go]]. If a successful mapping was not possible, we compared the names of the predicted Pfam family with the names of the GO terms. If the names are similar or equal, we decided to trust the mapping.
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Graphical representation of the prediction result of Pfam: 
[[Image:lamp1_human_pfam2.png|center|Result of the Pfam prediction for LAMP1_HUMAN]]

Pfam found one significant Pfam-A matches:
{| border="1" style="text-align:center; border-spacing:0;"
|Family
|E-Value
|GOid
|prediction
|-
|Lysosome-associated membrane glyoprotein (LAMP)
|2.3e-135
|GO:0016020
|right
|-
|}
<br>
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=== ProtFun 2.2 ===
<br><br>
ProtFun 2.2 does not give clear predictions if the protein belongs to this class or not, instead it gives probabilities and odd scores. 
We decided to make a cutoff by 2. So all classes with an odd score of 2 or higher are right results for us. You can also find a "=>" sign in the result file. This sign shows the result with the highest information content. We also take this line as result, although if the odd score is lower than 2. If we only have result with a odd score lower than 2, the line with this sign is our onlyest result.<br>
Because the prediction categories are very general, it was not possible to map the GOids. Therefore, we checked the known GO annotations. If there was a hint for a category and the protein was predicted to be in this category, we decided that the prediction is right, otherwise if the known GO annotations and the categories conflict, we count the prediction as wrong.
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The ProtFun Server calculated following prediction result for LAMP1_HUMAN:
{| border="1" style="text-align:center; border-spacing:0;"
!colspan="4" | Functional category
|-
|Functional category 
|Probability
|Odd score 
|Prediction 
|-
|Amino acid biosynthesis
|0.011
|0.484
|right
|-
|Biosynthesis of cofactors
|0.053
|0.735
|right
|-
|Cell envelope
|0.804 =>
|13.186 =>
|right
|-
|Cellular processes
|0.027
|0.373
|right
|-
|Central intermediary metabolism
|0.138
|2.188
|right
|-
|Engergy metabolism
|0.037
|0.411
|right
|-
|Fatty acid metabolsim
|0.016
|1.265
|right
|-
|Purines and Pyrimidines
|0.533
|2.195
|wrong
|-
|Regulatory functions
|0.015
|0.090
|right
|-
|Replication and transcription
|0.019
|0.073
|right
|-
|Translation
|0.027
|0.613
|right
|-
|Transport and binding
|0.834
|2.033
|right
|-
!colspan="4" | Enyzme/non-enzyme
|-
|Enzyme/non-enzyme
|Probability
|Odd score
|Prediction
|-
|Enzyme
|0.276
|0.965
|right
|-
|Nonenzyme
|0.724 =>
|1.014 =>
|right
|-
!colspan="4" | Enyzme class
|-
|Enzyme class
|Probability
|Odd score
|Prediction
|-
|Oxidoreductase (EC 1.-.-.-)
|0.039
|0.187
|right
|-
|Transferase (EC 2.-.-.-)
|0.046
|0.134
|right
|-
|Hydrolase (EC 3.-.-.-)
|0.058
|0.184
|right
|-
|Lyase (EC 4.-.-.-)
|0.020
|0.430
|right
|-
|Isomerase (EC 5.-.-.-)
|0.010
|0.321
|right
|-
|Ligase (EC 6.-.-.-)
|0.017
|0.326
|right
|-
!colspan="4" | Gene ontology category
|-
|Gene ontology category
|Probability
|Odd score
|Prediction
|-
|Signal transducer
|0.396
|1.849
|right
|-
|Receptor
|0.282
|1.659
|right
|-
|Hormone
|0.001
|0.206
|right
|-
|Structural protein
|0.011
|0.408
|right
|-
|Transporter
|0.024
|0.222
|right
|-
|Ion channel
|0.008
|0.147
|right
|-
|Volatge-gated ion channel
|0.002
|0.111
|right
|-
|Cation channel
|0.010
|0.215
|right
|-
|Transcription
|0.032
|0.247
|right
|-
|Transcription regulation
|0.018
|0.142
|right
|-
|Stress response
|0.246
|2.795
|right
|-
|Immune response
|0.371 =>
|4.368 =>
|right
|-
|Growth factor
|0.013
|0.956
|right
|-
|Metal ion transport
|0.009
|0.020
|right
|-
|}
<br>
Back to [[http://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/index.php/Sequence-based_predictions_HEXA#Prediction_of_GO_terms_2 Sequence-based prediction]]<br><br>