Tutorial 4 Comparing Protein Sequences Intro to Bioinformatics 1.

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Presentation transcript:

Tutorial 4 Comparing Protein Sequences Intro to Bioinformatics 1

Amino acids were not born equally 2

Comparing Protein Sequences Substitution Matrices PAM - Point Accepted Mutations BLOSUM - Blocks Substitution Matrix Advance comparison tools Psi-BLAST Phi-BLAST 3

Substitution Matrix Scoring matrix S 20x20 for protein alignment (Amino-acid) S i,j represents the gain/penalty due to substituting AA j by AA i (i – line, j – colomn) Based on likelihood this substitution is found in nature Computed differently in PAM and BLOSUM 4

Computing probability of Mutation (M i,j ) PAM - Point Accepted Mutations Based on closely related proteins (X% divergence) Matrices for comparison of divergent proteins computed BLOSUM - Blocks Substitution Matrix Based on conserved blocks bounded in similarity (at least X% identical) Matrices for divergent proteins are derived using appropriate X% 5

PAM-1 Captures mutation rates between close proteins 1% divergence M i,j = A  B / #A Problematic when comparing far proteins The 1% divergence does not capture more sporadic mutations PAM250 is theoretical (extrapolation based) 6

PAM-1 7

Captures mutation rates between divergent proteins Why is BLOSUM62 called BLOSUM62? Basically, this is because all blocks whose members shared at least 62% identity with ANY other member of that block were averaged and represented as 1 sequence. BLOSUM62 8

The idea of BLOSUM matrices is to get a better measure of differences between two proteins specifically for more distantly related proteins. Similar AA have high score 9

PAM & BLOSUM PAMBLOSUM Based on global alignments of closely related proteins. Based on local alignments. The PAM1 is calculated from comparisons of sequences with no more than 1% divergence. BLOSUM 62 is calculated from comparisons of sequences with at least 62% identity in the blocks. Other PAM matrices are extrapolated from PAM1. All BLOSUM matrices are based on observed alignments. They are not extrapolated from comparisons of closely related proteins. 10

PAM100 ~ BLOSUM90 Closely Related PAM120 ~ BLOSUM80 PAM160 ~ BLOSUM60 PAM200 ~ BLOSUM52 PAM250 ~ BLOSUM45 Highly Divergent Query lengthMatrixGap costs <35PAM309, PAM7010, BLOSUM8010,1 >85BLOSUM6211,1 Use Recommendations 11

Example Query: >ADRM1_HUMAN (Proteasomal ubiquitin receptor) Data Base: nr on Human genome. Blast Program: BLASTP Matrices: PAM30,BLOSUM45 12

PAM 30 BLOSUM45 With BLOSUM45 we found related and divergent sequences. With PAM30 we found only related sequences. What difference do we observe? 13

PAM 30 BLOSUM45 With BLOSUM45 we can discover interesting relations between proteins Mucin-13:a glycosylated membrane protein that protects the cell by binding to pathogens 14

With PAM 30 With BLOSUM45 Using different scoring matrices can produce slightly Different alignments: 15

A same alignment can be solved in many ways, specially when using a matrix for highly divergent sequences (BLOSUM45): 16

PSI-BLAST Position Specific Iterative BLAST We will analyze the following Archeal uncharacterized protein: >gi| |sp|Q57997|Y577_METJA PROTEIN MJ0577 MSVMYKKILYPTDFSETAEIALKHVKAFKTLKAEEVILLHVI DEREIKKRDIFSLLLGVAGLNKSVEEFENELKNKLTEEAKNK MENIKKELEDVGFKVKDIIVVGIPHEEIVKIAEDEGVDIIIM GSHGKTNLKEILLGSVTENVIKKSNKPVLVVKRKNS 17

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Threshold for initial BLAST Search (default:10) Threshold for inclusion in PSI-BLAST iterations (default:0.005) 19

The query itself Orthologous sequences in two other archaeal species Other homologous sequences 20

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Is MJ0577 a filament protein? Is MJ0577 a cationic amino transporter? Is MJ0577 a universal stress protein? 22