GO Terms INSL5 HUMAN

GOPET

First, we used GOPET to predict the GO terms of this protein.

Figure 1: Result of the GOPET prediction for INSL5_HUMAN

The method only predicts functional GO terms. INSL5_HUMAN has 1 annotated GO functions. The methods predicts also 1 GO function term, which can be seen on Figure 1. Therefore we decided to check if all predictions are correct.

GO term	confidence	prediction term	prediction GOid
hormone activity	80%	right	right

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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 [[1]]. 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.

Graphical representation of the prediction result of Pfam:

Figure 2: Result of the Pfam prediction for LAMP1_HUMAN

Pfam found two significant Pfam-A matches:

Family	E-Value	GOid	prediction
Insulin/IGF/Relaxin family	6.7e-08	GO:0005179	right
		GO:0005576	right

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ProtFun 2.2

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 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 onliest result.
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.

The ProtFun Server calculated following prediction result for INSL5_HUMAN:

Functional category
Functional category	Probability	Odd score	Prediction
Amino acid biosynthesis	0.011	0.484	right
Biosynthesis of cofactors	0.040	0.558	right
Cell envelope	0.756 =>	12.393 =>	right
Cellular processes	0.033	0.448	right
Central intermediary metabolism	0.048	0.755	right
Engergy metabolism	0.036	0.397	right
Fatty acid metabolsim	0.016	1.265	right
Purines and Pyrimidines	0.144	0.592	right
Regulatory functions	0.014	0.087	right
Replication and Transcription	0.020	0.075	right
Translation	0.032	0.735	right
Transport and binding	0.834	2.033	right
Enyzme/non-enzyme
Enzyme/non-enzyme	Probability	Odd score	Prediction
Enzyme	0.209	0.729	right
Nonenzyme	0.791 =>	1.109 =>	right
Enyzme class
Enzyme class	Probabilty	Odd score	Prediction
Oxidoreductase (EC 1.-.-.-)	0.056	0.268	right
Transferase (EC 2.-.-.-)	0.031	0.091	right
Hydrolase (EC 3.-.-.-)	0.062	0.195	right
Lyase (EC 4.-.-.-)	0.020	0.430	right
Isomerase (EC 5.-.-.-)	0.010	0.321	right
Ligase (EC 6.-.-.-)	0.017	0.327	right
Gene ontology category
Gene ontology category	Probability	Odd score	Prediction
Signal transducer	0.374	1.746	right
Receptor	0.128	0.750	right
Hormone	0.247 =>	37.936 =>	right
Structural protein	0.001	0.041	right
Transporter	0.025	0.228	right
Ion channel	0.010	0.168	right
Volatge-gated ion channel	0.003	0.131	right
Cation channel	0.010	0.215	right
Transcription	0.054	0.425	right
Transcription regulation	0.091	0.724	right
Stress response	0.099	1.128	right
Immune response	0.178	2.090	wrong
Growth factor	0.061	4.379	wrong
Metal ion transport	0.009	0.020	right

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