How Can I Detect The Similarity Of Proteins According To Special Motifs In Them?
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10.3 years ago
Ct586 ▴ 580

Hi, all. Thank you for reading this question.

I have some special sequences in proteins showed as follows:

All proteins contain one similar segments, and repeat in different times.

Take 'seq1' as an example, it has a sequence(not motif in biology meanings) 'EETELICLSDVTATSGAMEHSEVILKEREE' repeated 5 times. The number after colon is the position of this segment in protein.

seq1 EETELICLSDVTATSGAMEHSEVILKEREE:420# EETELICLNDVTSPLRAVEHSAVLLKDKVE:473# EETELICVNDVTSTSRTMGHSSVVLKENEE:527# EETELICLNDVTSPSRAMEHSTVFIEEKEE:580# EETELICLNDVTSTSEVAETPEDVLEGIEL:633

seq2 EETELICLNDVTSPLRAVEHSAVLLKDKVE:473# EETELICLNDVTSPSRAMEHSTVFIEEKEE:580

seq3 EETELICLNDFTSTSRAMEHSEVILKEREE:421# EETELICVNDVTSTSHAMEHSAVILKENEE:527# EETKLICLNEVTSTSRAMEHSAVVIEDKAE:580

seq4 EETELICLNDVTSPLRAVEHSAVLLKDKVE:473# EETELICLNDVTSPSRAMEHSTVFIEEKEE:580

seq5 EETELICLNDVTSPLRAVEHSAVLLKDKVE:473

I want to compute the similarity score between any two sequences based on mentioned sequence information. How can I do it? I want to consider two factors, the similarity of motifs and repeat times.

Thank you!

Before I joined them together as one sequence and used multiple alignment software get the similarity score of them. But I do not know if it is reasonable.

similarity • 2.7k views
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10.3 years ago

One thing that can be done is to build a multiple alignment of the individual motifs: 1.1, 1.2, etc (where 1 indicates the source protein (seq1) and .2 is the second iteration of the motif). Then, use that alignment to look at a dendrogram (displaying the degree of difference in the motifs in visual form) or take it further with a phylogenetic tree to show (likely) evolutionary history. This would address one part of your objective - to show the relatedness of the motifs separate from the entire proteins.

Similarly, you can look at these five proteins with the motifs removed in order to get at their similarity outside the motif regions. That would actually be quite interesting.

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Thanks, both ideas are great. I did the first analysis before. It gives the evolutionary history of different motifs which are very interesting. About the second idea, if I use '-' substitute the motifs part, will it give the same result comparing to removing motifs?

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That cannot be predicted. You'll have to perform the analysis and compare results. That does not seem overly difficult with 5 sequences, plus perhaps an outlier, if it exists, that naturally does not contain the motif.

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Thanks. I have compared them. No much difference at least to this example.

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10.3 years ago

Take a look at this suite of tools for protein motif analysis: http://bioware.ucd.ie/~compass/

There are several tools for comparing motif lists (Comparimotif) and discovering specific motifs in a set of sequences that accounts for convergent evolution (SLiMFinder).

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Thanks for the answer. I made a mistake here. When I am talking about motif here it means only an amino acid segments, not a biological motif. Your tools are great, but may be not suitable for my problem.

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Thanks for the answer. I made a mistake here. When I am talking about motif here it means only an amino acid segments, not a biological motif. Your tools are great, but may be not suitable for my problem. Sorry!

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10.3 years ago
Bilouweb ★ 1.1k

Hello.

I found many tools to search for motifs in protein or DNA on this page : genouest

I hope it can be useful.

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Thanks for the answer. I made a mistake here. When I am talking about motif here it means only an amino acid segments, not a biological motif. Your tools are great, but may be not suitable for my problem. Sorry!

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Some of these tools are for "amino acid segment" search in protein sequences like Logol, Stan or grappe. But if you just want string pattern recognition look here : http://www.genouest.org/spip.php?rubrique51

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10.3 years ago

Have you consider Pattern Hit Initiated BLAST (PHI-BLAST) ? It was part of old versions of BLAST, not sure if it is retained in BLAST+.

Also check SCANMOT, a tool developed in my graduate lab for acheiving similar tasks.