Concept:
In bioinformatics,
scoring matrices are used in sequence alignment to assign scores for amino acid substitutions. Two widely used matrices are:
- PAM (Point Accepted Mutation)
- BLOSUM (BLOcks SUbstitution Matrix)
Both matrices are used for protein sequence alignment, but they differ in how they are constructed.
Step 1:Understanding PAM matrices.}}
PAM matrices are derived from
global alignments of closely related protein sequences.
They estimate mutation probabilities over evolutionary time by extrapolating observed mutations.
Step 2:Understanding BLOSUM matrices.}}
BLOSUM matrices are created from
local alignments of conserved protein regions (blocks) found in related proteins.
They group similar sequences and calculate substitution frequencies from these conserved blocks.
Step 3:Identifying the main difference.}}
The key distinction is the
alignment strategy used to build the matrices:
- PAM → Derived from global sequence alignments
- BLOSUM → Derived from local conserved blocks
Conclusion:
Thus, the primary difference is that
PAM matrices are based on global alignments, while BLOSUM matrices are based on local alignments.