exploring protein folding trajectories using geometric spanners

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Exploring Protein Folding Trajectories Using Geometric Spanners Daniel Russel and Leonidas Guibas Stanford University

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Daniel Russel and Leonidas Guibas Stanford University. Exploring Protein Folding Trajectories Using Geometric Spanners. Goals. Existing work understanding protein structure Classification Comparison Matching Qualitative understanding of proteins motions We do not quite get there yet. - PowerPoint PPT Presentation

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Exploring Protein Folding Trajectories Using Geometric

SpannersDaniel Russel and Leonidas Guibas

Stanford University

Goals

● Existing work understanding protein structure– Classification– Comparison– Matching

● Qualitative understanding of proteins motions– We do not quite get there yet

Outline

● Overview of spanners● Properties of interest● Displaying trajectories● Future work

Geometric Spanners

● Vertexes are points● Edges have length● Expansion factor

– Ratio between graph distanceand Euclidean distance

Geometric Spanners

● Vertexes are points● Edges have length● Expansion factor

– Ratio between graph distanceand Euclidean distance

2CI2 Spanner

Expansion factor is 2Expansion factor is 2

backbone atom index

back

bon

e a

tom

ind

ex

spanner edges

2CI2 Spanner: Helix

helix

backbone atom index

back

bon

e a

tom

ind

ex

2CI2 Spanner: Strands

parallel strands

antiparallel strands

backbone atom index

back

bon

e a

tom

ind

ex

2CI2 Spanner: Tertiary Structure

tertiary interactions

backbone atom index

back

bon

e a

tom

ind

ex

Outline

● Overview of spanners● Properties of interest● Displaying trajectories● Future work

Combinatorializes Structure

● Picks a few pairs per set of adjacencies

Other Properties

● Regular structure of helices and strands

● Local meaning for edge

Family of Descriptors

● Vary expansion factor ● From distance matrix to sparse● Linear for many values

1.5 1.75 2.0 2.5 3.0

Outline

● Overview of spanners● Properties of interest● Displaying trajectories● Future work

Protein Folding Trajectories

● Input: Protein trajectories– Currently small proteins, later larger– Nanosecond timescales, later millisecond– Tens or hundreds of folding trajectories– Many non-folding

● Want to understand– Individual trajectories– Structure of conformation space

Processing Spanners

● Edges move slightly between frames● Tracked edge

initial frame edgesfinal frame edgesidentical edges

(identical edges colored grey or magenta)

some m

atching pairs

Another View

Initial edgesFinal edges

backbone index

Smoothing

● Birth and death events● Persistent edges● Gaps

time

pers

iste

nt

ed

ges

Tracked edge

BirthDeath

Strip Spanner Representation

start vertex

length

Strip Historyedge length

index along backbone

fram

e

brighten

Segmenting Trajectories

sample conformation

segmentdividers

Example: BBA5

Native state(1) (3)

(2)

Outline

● Overview of spanners● Properties of interest● Displaying trajectories● Future work

Sidechains

● Breaks the ordering of nodes● How many points?

Comparing Motions

● Compare pairs of trajectories– Partial matches

● Cluster conformations– Find bottlenecks

● Cluster trajectories– Which are similar– Which are unique

Deeper Understanding

● Proteins → spanner

● Graph → proteins

● Spanner distances vs. conformation distances