Analyzing BLAST Protein Sequence Alignment Results

    BLAST (Basic Local Alignment Search Tool) is a commonly used tool for comparing protein or nucleic acid sequences. It can be used to find homologous sequences of the target sequence in a known database, thereby performing sequence similarity analysis. This is crucial for identifying protein functions, family classifications, and evolutionary research. When interpreting BLAST protein sequence alignment results, we can start from the following aspects.

     

    Alignment Statistics

    BLAST output usually includes multiple statistical information, such as alignment score, alignment site number, similarity score, etc. These information can be used to determine the quality of the alignment.

     

    Alignment Score

    The alignment score represents the similarity between the target sequence and the homologous sequence in the database. The higher the score, the greater the similarity.

     

    Analyzing E Value

    E value is an indicator of the expected error of the alignment. The smaller the value, the more significant the alignment. Usually, an E value less than 0.01 is considered significant.

     

    Coverage

    Coverage indicates how many alignment sites in the target sequence match the database sequence. High coverage usually indicates good alignment.

     

    Similarity Score

    The similarity score represents the degree of similarity between the target sequence and the database sequence. It is usually represented as a percentage.

     

    Quering Coverage Range

    Determine the alignment position of the target sequence in the database, and which parts of the target sequence match the homologous sequence.

     

    Checking Detailed Alignment Information

    BLAST provides an "alignment" section that shows the detailed alignment of the query sequence and the sequence in the database. Here, users should note the following points:

     

    1. Conservative Regions 

    Amino acid residues marked with asterisks represent high conservation, which may indicate that these areas are particularly important in structure or function.

     

    2. Gaps and Discontinuities 

    Gaps in the sequence may represent insertions or deletions, which may be the result of evolutionary or substitution events, or a sign of unknown parts of the sequence.

     

    Annotation of Homologous Sequences

    Highly similar sequences usually indicate the evolutionary relevance or "homology" of the two proteins. This may mean that they have similar biological functions or structural features.

     

    Reference to Other Databases and Literature

    For each similar sequence found, BLAST usually provides links to related databases, such as the Protein Data Bank (PDB) or UniProt. Through these resources, researchers can further explore the known functions, structures, interactions, etc. of the target protein.

     

    Phylogenetic Tree Analysis

    Based on the alignment results, a phylogenetic tree of homologous sequences can be constructed to understand their evolutionary relationships.

     

    When analyzing BLAST protein sequence alignment results, the above factors need to be considered comprehensively to determine the quality and biological significance of the alignment results. It must be noted that BLAST alignment is based on sequence similarity and does not necessarily always reflect protein functional similarity. Especially for matches with low similarity, more biological validation may be required to determine their exact relationship.

Submit Inquiry
Name *
Email Address *
Phone Number
Inquiry Project
Project Description *

 

How to order?


/assets/images/icon/icon-message.png

Submit Inquiry

/assets/images/icon/icon-return.png