GO Terms BACR HALSA
GOPET
First, we used GOPET to predict the GO terms.
The method only predicts functional GO terms. BACR_HALSA has 3 annotated GO functions. The methods predicts also 3 GO function terms, which can be seen on Figure 1. Therefore, we decided to check if all predictions are correct.
| GO term | confidence | prediction term | prediction GOid |
| ion channel activity | 77% | right | right |
| G-protein coupled photoreceptor activity | 75% | right | wrong |
| hydrogen ion transmembrane transporter activity | 60% | wrong | wrong |
Back to [Sequence-based prediction]
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:
Pfam found one significant Pfam-A matches:
| Family | E-Value | GOid | prediction |
| Bacteriorhodopsin-like protein | 2e-88 | GO:0005216 | right |
| GO:0006811 | right | ||
| GO:0016020 | right |
Back to [Sequence-based prediction]
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 BACR_HALSA:
| Functional category | |||
|---|---|---|---|
| Functional category | Probability | Odd score | Prediction |
| Amino acid biosynthesis | 0.033 | 1.495 | right |
| Biosynthesis of cofactors | 0.186 | 2.589 | wrong |
| Cell envelope | 0.029 | 0.483 | right |
| Cellular processes | 0.051 | 0.698 | right |
| Central intermediary metabolism | 0.045 | 0.711 | right |
| Engergy metabolism | 0.138 | 1.537 | right |
| Fatty acid metabolsim | 0.016 | 1.265 | right |
| Purines and Pyrimidines | 0.302 | 1.244 | right |
| Regulatory functions | 0.013 | 0.080 | wrong |
| Replication and transcription | 0.019 | 0.073 | right |
| Translation | 0.059 | 1.339 | right |
| Transport and binding | 0.791 => | 1.929 => | right |
| Enyzme/non-enzyme | |||
| Enzyme/non-enzyme | Probability | Odd score | Prediction |
| Enzyme | 0.199 | 0.696 | right |
| Nonenzyme | 0.801 => | 1.122 => | right |
| Enyzme class | |||
| Enzyme class | Probability | Odd score | Prediction |
| Oxidoreductase (EC 1.-.-.-) | 0.114 | 0.549 | right |
| Transferase (EC 2.-.-.-) | 0.031 | 0.091 | right |
| Hydrolase (EC 3.-.-.-) | 0.057 | 0.180 | right |
| Lyase (EC 4.-.-.-) | 0.020 | 0.430 | right |
| Isomerase (EC 5.-.-.-) | 0.010 | 0.321 | right |
| Ligase (EC 6.-.-.-) | 0.017 | 0.625 | right |
| Gene ontology category | |||
| Gene ontology category | Probability | Odd score | Prediction |
| Signal transducer | 0.258 | 1.205 | wrong |
| Receptor | 0.355 | 2.087 | right |
| Hormone | 0.001 | 0.206 | right |
| Structural protein | 0.006 | 0.200 | right |
| Transporter | 0.440 => | 4.036 => | right |
| Ion channel | 0.010 | 0.169 | wrong |
| Volatge-gated ion channel | 0.004 | 0.172 | right |
| Cation channel | 0.078 | 1.689 | right |
| Transcription | 0.026 | 0.205 | right |
| Transcription regulation | 0.028 | 0.226 | right |
| Stress response | 0.012 | 0.139 | right |
| Immune response | 0.011 | 0.128 | right |
| Growth factor | 0.010 | 0.727 | right |
| Metal ion transport | 0.049 | 0.106 | right |
Back to [Sequence-based prediction]
