<p>You could use <a href="https://www.blast2go.com/" rel="noreferrer" title="Blast2go company">Blast2go</a> to find the predicted relevant gene ontologies of your sequences. If you look for the cellular compartment sub ontology you should find the location of such protein. I have never used this tool, but here is the <a href="https://academic.oup.com/nar/article/36/10/3420/2410320" rel="noreferrer" title="Blast2GO article">paper</a> describing how it works.</p>

<p>I wouldn't restrict to the first predicted match of blastp see if some more genes with a good fit are also located at the same sites. But otherwise your workflow seems right to me.</p>

<p>But to prove this is in X or Y you, or your team or collaborators, should always check with histochemistry if it really allocates on the predicted place. All the softwares predictions must be validated with some biological experiments to prove them. </p>

CC BY-SA 3.0
2017-11-16T09:12:17.030Z
Thanks for the suggestion, I will give it a try once I find time.
Cleb
CC BY-SA 3.0
2017-11-16T09:21:22.127Z
@Cleb I forgot to write that your worklow is how I would do it too.
llrs
CC BY-SA 3.0
2017-11-16T08:46:16.707Z
2017-11-16T09:20:41.297Z
2017-11-16T09:20:41.297Z
llrs
<p>You can run the sequence through tools like SignalP to look for cell surface signals and so on, which will give you a clue about where I is bound for.</p>

<p>None of these tools will give you an absolutely definitive answer though, often because we simply don’t have the experimental data.</p>

CC BY-SA 3.0
2017-11-16T18:35:43.573Z
Thanks, was not aware of this tool, will give it a try.
Cleb
CC BY-SA 3.0
2017-11-16T18:32:12.957Z
2017-11-16T18:32:12.957Z
Joe Healey
<p>I am wondering about the appropriate workflow to determine a protein's cellular location based on its sequence. </p>

<p>Let's say I have a sequence like this from a fasta file</p>

<pre><code>MTIKEHKVVYEAHNVKALKAPQHFYNSQPGKGYVTDMQHYQEMYQQSINEPEKFFDKMAK
EYLHWDAPYTKVQSGSLNNGDVAWFLNGKLNASYNCVDRHAFANPDKPALIYEADDESDN
KIITFGELLRKVSQIAGVLKSWGVKKGDTVAIYLPMIPEAVIAMLAVARIGAIHSVVFAG
FSAGSLKDRVVDANSKVVITCDEGKRGGKTINTKKIVDEGLNGVDLVSRILVFQRTGTEG
IPMKAGRDYWWHEEAAKQRTYLPPVSCDAEDPLFLLYTSGSTGSPKGVVHTTGGYLLGAA
LTTRYVFDIHPEDVLFTAGDVGWITGHTYALYGPLTLGTASIIFESTPAYPDYGRYWRII
QRHKATHFYVAPTALRLIKRVGEAEIAKYDTSSLRVLGSVGEPISPDLWEWYHEKVGNKN
CVICDTMWQTESGSHLIAPLAGAVPTKPGSATVPFFGINACIIDPVTGVELEGNDVEGVL
AVKSPWPSMARSVWNHHDRYMDTYLKPYPGHYFTGDGAGRDHDGYYWIRGRVDDVVNVSG
HRLSTSEIEASISNHENVSEAAVVGIPDELTGQTVVAYVSLKDGYLQNNATEGDAEHITP
DNLRRELILQVRGEIGPFASPKTIILVRDLPRTRSGKIMRRVLRKVASNEAEQLGDLTTL
ANPEVVPAIISAVENQFFSQKKK
</code></pre>

<p>I can feed it to <a href="https://blast.ncbi.nlm.nih.gov/Blast.cgi?PAGE=Proteins" rel="noreferrer">NCBI's blastp</a> which then gives me a list of genes. I can check e.g. the <a href="https://www.ncbi.nlm.nih.gov/ipg/NP_013254.1" rel="noreferrer">first entry</a> which also <a href="http://www.uniprot.org/uniprot/P52910" rel="noreferrer">provides a link to SwissProt</a>. There I finally see that this protein is located in the nucleus and also the cytosol.</p>

<p>My questions are: </p>

<p>1) Is there a more straightforward way of achieving this information?</p>

<p>2) Let's say someone annotated this protein to be a mitochondrial one. How could I check that i.e. (dis)prove that?</p>

CC BY-SA 4.0
2020-08-21T08:50:45.867Z
Any update on this?
BND
<proteins><blastp>
How to determine a protein's cellular location based on its sequence?
# How to determine a protein's cellular location based on its sequence?

(Asked by: username_0 on 2017-11-15)

I am wondering about the appropriate workflow to determine a protein's cellular location based on its sequence. 
Let's say I have a sequence like this from a fasta file
MTIKEHKVVYEAHNVKALKAPQHFYNSQPGKGYVTDMQHYQEMYQQSINEPEKFFDKMAK
EYLHWDAPYTKVQSGSLNNGDVAWFLNGKLNASYNCVDRHAFANPDKPALIYEADDESDN
KIITFGELLRKVSQIAGVLKSWGVKKGDTVAIYLPMIPEAVIAMLAVARIGAIHSVVFAG
FSAGSLKDRVVDANSKVVITCDEGKRGGKTINTKKIVDEGLNGVDLVSRILVFQRTGTEG
IPMKAGRDYWWHEEAAKQRTYLPPVSCDAEDPLFLLYTSGSTGSPKGVVHTTGGYLLGAA
LTTRYVFDIHPEDVLFTAGDVGWITGHTYALYGPLTLGTASIIFESTPAYPDYGRYWRII
QRHKATHFYVAPTALRLIKRVGEAEIAKYDTSSLRVLGSVGEPISPDLWEWYHEKVGNKN
CVICDTMWQTESGSHLIAPLAGAVPTKPGSATVPFFGINACIIDPVTGVELEGNDVEGVL
AVKSPWPSMARSVWNHHDRYMDTYLKPYPGHYFTGDGAGRDHDGYYWIRGRVDDVVNVSG
HRLSTSEIEASISNHENVSEAAVVGIPDELTGQTVVAYVSLKDGYLQNNATEGDAEHITP
DNLRRELILQVRGEIGPFASPKTIILVRDLPRTRSGKIMRRVLRKVASNEAEQLGDLTTL
ANPEVVPAIISAVENQFFSQKKK

I can feed it to NCBI's blastp which then gives me a list of genes. I can check e.g. the first entry which also provides a link to SwissProt. There I finally see that this protein is located in the nucleus and also the cytosol.
My questions are: 
1) Is there a more straightforward way of achieving this information?
2) Let's say someone annotated this protein to be a mitochondrial one. How could I check that i.e. (dis)prove that?

**Tags:** proteins, blastp
> **Comments:**
> **username_1**: Any update on this?  

---

## 2 answers

### Answer by username_2 on 2017-11-16. Score: 6

You could use [Blast2go](https://www.blast2go.com/ "Blast2go company") to find the predicted relevant gene ontologies of your sequences. If you look for the cellular compartment sub ontology you should find the location of such protein. I have never used this tool, but here is the [paper](https://academic.oup.com/nar/article/36/10/3420/2410320 "Blast2GO article") describing how it works.

I wouldn't restrict to the first predicted match of blastp see if some more genes with a good fit are also located at the same sites. But otherwise your workflow seems right to me.

But to prove this is in X or Y you, or your team or collaborators, should always check with histochemistry if it really allocates on the predicted place. All the softwares predictions must be validated with some biological experiments to prove them.

> **Comments:**
> **username_0**: Thanks for the suggestion, I will give it a try once I find time.  
> **username_2**: @Cleb I forgot to write that your worklow is how I would do it too.  

---

### Answer by username_3 on 2017-11-16. Score: 2

You can run the sequence through tools like SignalP to look for cell surface signals and so on, which will give you a clue about where I is bound for.

None of these tools will give you an absolutely definitive answer though, often because we simply don’t have the experimental data.

> **Comments:**
> **username_0**: Thanks, was not aware of this tool, will give it a try.  

---

