15 research outputs found

    PSAAP algorithm performance of predicted phenotypes using curated <i>RET</i> mutations.

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    a<p>Primary Sequence Amino Acid Properties (PSAAP) algorithm.</p>b<p>Analyzed with default settings at <a href="http://mutdb.org/mutpred" target="_blank">http://mutdb.org/mutpred</a>.</p>c<p>Analyzed with default settings at <a href="http://genetics.bwh.harvard.edu/pph" target="_blank">http://genetics.bwh.harvard.edu/pph</a>.</p>d<p>Analyzed with default settings at <a href="http://mmb.pcb.ub.es/PMut" target="_blank">http://mmb.pcb.ub.es/PMut</a>.</p>e<p>Analyzed with default settings at <a href="http://sift.jcvi.org" target="_blank">http://sift.jcvi.org</a>.</p

    Schematic of the full length 1114 amino acid RET protein showing the signal peptide (SP, residues 1-24), cadherin domain (CAD, residues 191-270), transmembrane domain (TM, residues 636-652), and tyrosine kinase motif (Kinase, residues 724-1005).

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    <p>Schematic of the full length 1114 amino acid RET protein showing the signal peptide (SP, residues 1-24), cadherin domain (CAD, residues 191-270), transmembrane domain (TM, residues 636-652), and tyrosine kinase motif (Kinase, residues 724-1005).</p
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