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Protein Functional Site Prediction The identification of protein regions responsible for stability and function is an especially important post-genomic problem With the explosion of genomic data from recent sequencing efforts, protein functional site prediction from only sequence is an increasingly important bioinformatic endeavor.
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What is a “Functional Site”? Defining what constitutes a “functional site” is not trivial Residues that include and cluster around known functionality are clear candidates for functional sites We define a functional site as catalytic residues, binding sites, and regions that clustering around them.
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Protein
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Protein + Ligand
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Functional Sites (FS)
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Regions that Cluster Around FS
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Phylogenetic motifs PMs are short sequence fragments that conserve the overall familial phylogeny Are they functional? How do we detect them?
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Phylogenetic motifs PMs are short sequence fragments that conserve the overall familial phylogeny Are they functional? How do we detect them? First we design a simple heuristic to find them Then we see if the detected sites are functional
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Phylogenetic Motif Identification Compare all windowed trees with whole tree and keep track of the partition metric scores Normalize all partition metric scores by calculating z-scores Call these normalized scores Phylogenetic Similarity Z-scores (PSZ) Set a PSZ threshold for identifying windows that represent phylogenetic motifs
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Set PSZ Threshold
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Regions of PMs
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TIM Phylogenetic Similarity False Positive Expectation
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TIM Phylogenetic Similarity False Positive Expectation
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Cytochrome P450 Phylogenetic Similarity False Positive Expectation
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Cytochrome P450 Phylogenetic Similarity False Positive Expectation
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Enolase Phylogenetic Similarity False Positive Expectation
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Glycerol Kinase Phylogenetic Similarity False Positive Expectation
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Glycerol Kinase Phylogenetic Similarity False Positive Expectation
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Myoglobin Phylogenetic Similarity False Positive Expectation
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Myoglobin Phylogenetic Similarity False Positive Expectation
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