Patterns, Profiles, Domains and Motifs Theory - CNB - Protein ...

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<strong>Domains</strong> <strong>and</strong> Chains ATP subunit Molecular chaperonin GroEL heptamer (Dr Jianpeng Ma, Harvard Univ.)
Consensus Sequences ALRDFATHDDF SMTAEATHDSI ECDQAATHEAS 80% XXXXXATHXXX 50% XXXXXATHDXX Regular Expressions ALRDFATHDDF SMTAEATHDSI ECDQAATHEAS xxxxxATH[DE]xx •N terminal: • Any amino acid: x • Ambiguity: [A,B…] A or B... • or {A,B..} anything but A or B… • Repeats: A(2,4) - A-A o A-A-A o A-A-A-A [AC]-x-V-x(4)-{E,D} [Ala or Cys]-any-Val-any-any-any-any-{any but Glu or Asp}
Page 1 and 2: Motifs, Profiles and Domains Michae
Page 3 and 4: Sequence Analysis Aims To ide
Page 5 and 6: Hsc70 Actin DnaK FtsA Hexokinase Mr
Page 7 and 8: Why Function Prediction is Importan
Page 9 and 10: However, the relation between seque
Page 11 and 12: Clusters Clustering techniques aim
Page 13 and 14: Motifs Proteins from the same famil
Page 15 and 16: However HemK turns out to be the fi
Page 17: Domains Domains often are associate
Page 21 and 22: Profiles F K L L S H C L L V F K A
Page 23 and 24: Hidden Markov Models I Hidden Marko
Page 25 and 26: Motif Construction Known motifs (pu
Page 27 and 28: Using Databases and Tools Based on
Page 29 and 30: Searching for Remote Similarity wit
Page 31 and 32: Databases PROSITE Regular Expressio
Page 33: This presentation contains material

Patterns, Profiles, Domains and Motifs Theory - CNB - Protein ...

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