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Biological recognition in vivo Engineering biological recognition of biomaterials: adhesion/migration peptides Engineering biological recognition of biomaterials: enzymatic recognition and cytokine Reading S.E. Sakiyama-Elbert and J.A. Hubbell, Functional Biomaterials: Design of Novel
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1. Overview-the many levels of systems biology 2. Experimental methods for measuring protein-protein interactions and their limitations 3. Data sources for information about proteins and their
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For a molecular simulation or model you need 1. a representation of the protein 2. An energy function 3. a search algorithm or optimizer
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Review of protein structure hierarchy Nonpolar, Hydrophobic R-grou Primary structure Glycin (Gly, G) Aa,A≌ alina (VaL V. Leucine(Lou, L) Isoleucine{,非 MAAAAAAGPEMVRGQVE 20 amino acids Phenylalanine(Ph,月
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Review of markov HMM Models for dna Markov Models for splice sites Hidden Markov models looking under the hood The Viterbi algorithm Real World HMMs
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Markov Hidden markov models for dna Markov Models for splice sites Hidden Markov models looking under the hood The Viterbi algorithm Real World HMMs
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Review of DNA Seq. Comparison/Alignment Target frequencies and mismatch penalties Eukaryotic gene structure Comparative genomics applications Pipmaker(2 species comparison) Phylogenetic Shadowing(many species) Intro to DNA sequence motifs
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The Language of genomics CDNAS, ESTS. BACS Alus. etc Dideoxy Method Shotgun Sequencing The 'shotgun coverage equation(Poisson) Flavors of blast BLASTIPNXJ, TBLASTINXI Statistics of High Scoring Segments
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Outline FASTA, Blast searching, Smith-Waterman Psi-Blast Review of Genomic DNA structure Substitution patterns and mutation rates Synonymous and non-Synonymous substitutions Jukes-Cantor Model Kimura's Two-Parameter Model
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Outline Multiple Sequence AlignmentCarillo-& Lipman, Clustal(W) Position-Specific Scoring Matrices(PSSM) Information content, Shannon entropy Sequence logos Hidden Markov Models Other approaches: Genetic algorithms, expectation maximization, MEME, Gibbs sampler
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