Classification: understanding the diversity and principles of

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MCSG 2001 structure protein structur e and function the diversity and principles of Tool: structure comparison

description

Classification: understanding the diversity and principles of. protein structure and function. Tool: structure comparison. MCSG 2001 structures. Why compare protein structures?. Learn about – structure-function relationships – evolution – common building blocks – motifs - PowerPoint PPT Presentation

Transcript of Classification: understanding the diversity and principles of

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MCSG 2001 structures

protein structure and function

Classification: understanding the diversity and principles of

Tool: structure comparison

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Why compare protein structures? Learn about– structure-function relationships– evolution– common building blocks – motifs Make order out of the universe of protein structures Help structure prediction Inge Jonassen

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Structure Comparison

• Evolutionary relationship• Structure classification

Growth factorCytokine

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Shapiro & Harris, 2000

9% sequence identity

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Gerstein

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Strategies Bottom Upfind local matches first, then solve the combinatorial problem to identify the largest cluster of matching substructures (e.g., Dali, CE, etc.) Top Downfind a rough global alignment first, then use a refinement procedure to identify details of local matches (e.g., 3D look-up, subgraph isomorphism, etc.)

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Types of substructure used Atom/atom group Residue Fragment Secondary structure element (SSE) Structure described by elements of the chosen type (e.g. molecular surface)

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Gerstein

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Gerstein

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Gerstein

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SAP (iterated DDP)

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DDP

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Dali

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Dali’s idea

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3D LookupHolm & Sander (1995)

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3D Lookup

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Structure Comparison Tools DALI ( http://www2.ebi.ac.uk/dali/ ) CE ( http://cl.sdsc.edu/ ) VAST (http://www.ncbi.nlm.nih.gov/Structure/VAST/vast.html

) Prosup ( http://www.came.sbg.ac.at ) FLASH (http://thr.ibms.sinica.edu.tw/flash/)

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Complication: alternative alignments

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Results of different methods on the comparison of Azurin (1azc:A) vs plastocyanin (1plc)

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Complication: permutation

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N

C

A B

DC N

C

A B

DC

..A..B..C..D.. ..C..D..A..B..

Circular Permutation (CP)

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1nls (Concanavalin) 1led (Lectin)

N

C

N C

A real example of CP

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Angle-distance map:

SSE matching:

FLASH’s algorithm

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Greedy selection of distinct alignment solutions

g - f’ 50.4d - c’ 42.1f - e’ 33.7e - d’ 33.3b - a’ 30.4c - b’ 27.2c - e’ 8.9e - a’ 7.7f - b’ 6.3b - d’ 5.8g - c’ 4.6d - f’ 3.8f - a’ 1.5c - a’ 1.2a - c’ 1.2

(1) g - f’ d - c’ f - e’ e - d’ b - a’ c - b’

(2) c - e’ b - d’ d - f’

(3) e - a’ f - b’ g - c’

Optimal: Alternative:

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Scrambled Protein Pair

A B C D

A D C B

N

N’

C

C’

NC

N’

C’

“…few, if any, are able to detect permutations directly.”- Robert B. Russell (2002)

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Unique Capabilities:

• alternative alignments allowing sub-domain motif (structural building block) discovery

• permutation detection at all levels of complexity