Structural proteomics

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Structural proteomics Two handouts for this week. Proteomics section from book already assigned.

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Structural proteomics. Two handouts for this week. Proteomics section from book already assigned. What is structural proteomics/genomics?. High-throughput determination of the 3D structure of proteins Goal: to be able to determine or predict the structure of every protein. - PowerPoint PPT Presentation

Transcript of Structural proteomics

Page 1: Structural proteomics

Structural proteomics

Two handouts for this week. Proteomics section from book already

assigned.

Page 2: Structural proteomics

What is structural proteomics/genomics?

• High-throughput determination of the 3D structure of proteins

• Goal: to be able to determine or predict the structure of every protein.– Direct determination - X-ray crystallography and

nuclear magentic resonance (NMR).– Prediction

• Comparative modeling - • Threading/Fold recognition• Ab initio

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Why structural proteomics?

• To study proteins in their active conformation.– Study protein:drug interactions– Protein engineering

• Proteins that show little or no similarity at the primary sequence level can have strikingly similar structures.

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An example

• FtsZ - protein required for cell division in prokaryotes, mitochondria, and chloroplasts.

• Tubulin - structural component of microtubules - important for intracellular trafficking and cell division.

• FtsZ and Tubulin have limited sequence similarity and would not be identified as homologous proteins by sequence analysis.

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Burns, R., Nature 391:121-123Picture from E. Nogales

FtsZ and tubulin have little similarity at the amino acid sequence level

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Are FtsZ and tubulin homologous?

• Yes! Proteins that have conserved secondary structure can be derived from a common ancestor even if the primary sequence has diverged to the point that no similarity is detected.

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Current state of structural proteomics

• As of Feb. 2002 - 16,500 structures– Only 1600 non-redundant structures

• To identify all possible folds - predicted another 16,000 novel sequences needed for 90% coverage.– Of the 2300 structures deposited in 2000, only 11%

contained previously unidentified folds.

• Overall goal - directly solve enough structures directly to be able to computationally model all future proteins.

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Protein domains - structure

• “clearly recognizable portion of a protein that folds into a defined structure”– Doesn’t have to be the same as the domains we

have been investigating with CDD.– RbsB proteins as an example.

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Main secondary structure elements

-helix - right handed helical structure

-sheet - composed of two or more -strands, conformation is more “zig-zag” than helical.

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Folds/motifs

• How these secondary structure elements come together to form structure.– Helix-turn-helix

• Determining the structure of nearly all folds is the goal of structural biology

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X-Ray Crystallography• Make crystals of your protein

– 0.3-1.0mm in size– Proteins must be in an ordered, repeating

pattern.

• X-ray beam is aimed at crystal and data is collected.

• Structure is determined from the diffraction data.

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Image from http://www-structure.llnl.gov/Xray/101index.html

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Schmid, M. Trends in Microbiolgy, 10:s27-s31.

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X-ray crystallography

• Protein must crystallize.– Need large amounts (good expression)– Soluble (many proteins aren’t, membrane proteins).

• Need to have access to an X-ray beam.• Solving the structure is computationally intensive.• Time - can take several months to years to solve a

structure– Efforts to shorten this time are underway to make this

technique high-throughput.

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Nuclear Magnetic Resonance Spectroscopy (NMR)

• Can perform in solution.– No need for crystallization

• Can only analyze proteins that are <300aa.– Many proteins are much larger.– Can’t analyze multi-subunit complexes

• Proteins must be stable.

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Structure modeling

• Comparative modeling– Modeling the structure of a protein that has a high degree

of sequence identity with a protein of known structure– Must be >30% identity to have reliable structure

• Threading/fold recognition– Uses known fold structures to predict folds in primary

sequence.

• Ab initio– Predicting structure from primary sequence data– Usually not as robust, computationally intensive

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Quaternary structure

• Refers to the structure formed by more than one polypeptide.

• Many proteins function as complexes - best to know the structure of the complex rather than each individual– Proteins may have different conformations

when in a complex vs. alone.

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Structure of the ribosome

• Ribosome - made up of 2 major RNA molecules and over 50 proteins.

• Structure of the 70S ribosome solved by combining several models of the individual 30S and 50S subunits

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Ramakrishnan V. (2002) Cell.

108(4):557-72