phyre2 dr. lawrence kelley structural bioinformatics group imperial college london

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Phyre2 Dr. Lawrence Kelley Structural Bioinformatics Group Imperial College London

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Page 1: Phyre2 Dr. Lawrence Kelley Structural Bioinformatics Group Imperial College London

Phyre2

Dr. Lawrence KelleyStructural Bioinformatics Group

Imperial College London

Page 2: Phyre2 Dr. Lawrence Kelley Structural Bioinformatics Group Imperial College London

SVYDAAAQLTADVKKDLRDSWKVIGSDKKGNGVALMTTLFADNQETIGYFKRLGNVSQGMANDKLRGHSITLMYALQNFIDQLDNPDSLDLVCS…….

Predict the 3D structure adopted by a user-supplied protein sequence

Phyre2

Page 3: Phyre2 Dr. Lawrence Kelley Structural Bioinformatics Group Imperial College London
Page 4: Phyre2 Dr. Lawrence Kelley Structural Bioinformatics Group Imperial College London

How does Phyre2 work?

Page 5: Phyre2 Dr. Lawrence Kelley Structural Bioinformatics Group Imperial College London

ARDLVIPMIYCGHGY

Search the 10 million known sequences for homologues using PSI-Blast.

Phyre2

Homologous sequences

User sequence

Page 6: Phyre2 Dr. Lawrence Kelley Structural Bioinformatics Group Imperial College London

ARDLVIPMIYCGHGY HMM

PSI-Blast

Phyre2

Hidden Markov model

Capture the mutational propensities at each position in the protein

An evolutionary fingerprint

User sequence

Page 7: Phyre2 Dr. Lawrence Kelley Structural Bioinformatics Group Imperial College London

~ 65,000 known 3D structures

Phyre2

Page 8: Phyre2 Dr. Lawrence Kelley Structural Bioinformatics Group Imperial College London

~ 65,000 known 3D structures

Phyre2

Page 9: Phyre2 Dr. Lawrence Kelley Structural Bioinformatics Group Imperial College London

~ 65,000 known 3D structures

Phyre2

HAPTLVRDC…….

Extract sequence

Page 10: Phyre2 Dr. Lawrence Kelley Structural Bioinformatics Group Imperial College London

~ 65,000 known 3D structures

Phyre2

HAPTLVRDC…….

PSI-Blast

Extract sequence

Page 11: Phyre2 Dr. Lawrence Kelley Structural Bioinformatics Group Imperial College London

~ 65,000 known 3D structures

Phyre2

HAPTLVRDC…….

HMM

PSI-Blast

Hidden Markov modelfor sequence of KNOWN structure

Extract sequence

Page 12: Phyre2 Dr. Lawrence Kelley Structural Bioinformatics Group Imperial College London

~ 65,000 known 3D structures

Phyre2

HMM HMM HMM

~ 65,000 hidden Markov models

Page 13: Phyre2 Dr. Lawrence Kelley Structural Bioinformatics Group Imperial College London

~ 65,000 known 3D structures

Phyre2

Hidden Markov Model Database of

KNOWNSTRUCTURES

Page 14: Phyre2 Dr. Lawrence Kelley Structural Bioinformatics Group Imperial College London

ARDLVIPMIYCGHGY HMM

PSI-Blast

Phyre2

Hidden Markov model

Capture the mutational propensities at each position in the protein

An evolutionary fingerprint

Page 15: Phyre2 Dr. Lawrence Kelley Structural Bioinformatics Group Imperial College London

ARDLVIPMIYCGHGY HMM

PSI-Blast

Hidden Markov Model DB of

KNOWNSTRUCTURES

HMM-HMM matching

Phyre2

Alignments of user sequence to known structuresranked by confidence.

ARDL--VIPMIYCGHGYAFDLCDLIPV--CGMAY

Sequence of known structure

Page 16: Phyre2 Dr. Lawrence Kelley Structural Bioinformatics Group Imperial College London

ARDLVIPMIYCGHGY HMM

PSI-Blast

Hidden Markov Model DB of

KNOWNSTRUCTURES

HMM-HMM matching

Phyre2

ARDL--VIPMIYCGHGYAFDLCDLIPV--CGMAY

Sequence of known structure

3D-Model

Page 17: Phyre2 Dr. Lawrence Kelley Structural Bioinformatics Group Imperial College London

ARDLVIPMIYCGHGY HMM

PSI-Blast

Hidden Markov Model DB of

KNOWNSTRUCTURES

HMM-HMM matching

Phyre2

ARDL--VIPMIYCGHGYAFDLCDLIPV--CGMAY

Sequence of known structure

Very powerful – able to reliably detect extremely remote homology

Routinely creates accurate models even when sequence identity is <15%

3D-Model