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HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010

HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010

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Page 1: HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010

HIViz: Visualizing an HIV Envelope Protein

Philip HellerCMPS 261

Project PresentationSpring 2010

Page 2: HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010

Motivation

• 33M people living with HIV/AIDS– 2M children– 22M in sub-Saharan Africa

• 25 years of vaccine research– Traditional biomedical approaches– Not much visualization– Recent success in Thailand energizes efforts

Page 3: HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010

www.dicid.org

Page 4: HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010

Wikimedia.org

Page 5: HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010

www.wayfaring.info/category/topics/museums/page/9

“The smallpox, so fatal, and so general amongst us, is here

entirely harmless …”

Page 6: HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010

“The old woman comes with a nut-shell full of the matter of the best sort of small-pox, and asks what vein you please to have opened. She immediately rips open that you offer to her, with a large needle … and puts into the vein as much matter as can lie upon the head of her needle …”

Letter from Lady Mary Wortley Montague to Mrs. S. C.1719 (?)

“I intend to try it on my dear little son.”

Page 7: HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010

Preventable by Vaccine

• Chickenpox• Diphtheria• Hepatitis A• Hepatitis B• HPV• Flu• Measles

• Mumps• Pertussis• Rubella• Shingles• Tetanus• Polio• ?????HIV?????

Page 8: HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010

FamousPolioSurvivors

www.observer.com

www.setileague.org

www.tvworthwatching.com

www.lyricsystem.com

Page 9: HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010

Why HIV is Different

• No one has ever recovered• HIV destroys immune cells • HIV inserts genome into host cell genome,

hidden from immune system• HIV evolves constantly/rapidly

Page 10: HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010

Many Vaccine Efforts Focus on gp120

• Envelope surface• Entry into host cell• Crystallized 1998

Page 11: HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010

Berman Lab Data:Primary Sequence Loci of Sites for…

• Protease binding (% prevalence)–Possible cutting site

• Receptor binding (absent/present)–1st contact with host cell

• Glycosylation (absent/present)– Thick carbohydrate coat, hard to attack

• Neutralizing antibodies (absent/present)• Positive selection (all mutations)

Page 12: HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010

Positive Selection

• Infection begins with a “founder” individual virus• High mutation rate, rapid reproduction => many

variants• Mutations conferring positive or neutral traits are

propagated• Selective sweeps• SNP sites are identified, qualified, not quantified

Page 13: HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010

gp120 3D Viz: SOTA

• All derived from Wyatt & Kwong 1998 crystallization

• Converted to PDB file format– 3D location of all atoms

• RasMol, PyMol, JMol for viz & markup• Markup script supplied at:– Startup time (file)– Run time (keyboard)

Page 14: HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010

media.caltech.edu

Page 15: HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010

www.pdb.org

Page 16: HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010
Page 17: HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010

WHAT IF …

• What if I could see all features in 3D?• Annotate image with feature observations• Visualize with modified JMol• Goals:– Simultaneously view all 5 features– Predicates eg “Glycosylation –OR– Neutralizing Abs”– Software generation & application of scripts– Extensible: other proteins/features

Page 18: HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010

Simultaneous Viewing of all 5 Features

• Too much for 1 image• 5 images: – +: Looks good, easy, supports 6th “predicate” view– -: Very hard to interpret multiple orientation

Page 19: HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010

Solution: “Synchronized Swimming”

• Echo mouse events in any window to all others• All zoom/roll/pitch/yaw commands issued

identically to all instances• (Probably) novel– JMol not designed for SC/MV– Requires some source-level understanding of Jmol

• Glance from image to image without mentally re-orienting

Page 20: HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010
Page 21: HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010

Ad-Hoc Boolean Queries

• What sites support protease binding sites are also glycosylation sites?

• What sort of mutation happens at antibody neutralization sites?

• Predicate-logic combinations of features

A 6th “Predicate” window, + config dialog

Page 22: HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010

Predicate Logic on Numbers• Protease binding: % prevalence• Mutation: What amino acids have been seen at each locus (up

to 20, but that’s rare)• Others: Absent/Present• Convert to [0.0 – 1.0]

– Prevalence / 100– Mutation: (# of different amino acids) / 20– Absent = 0, Present = 1

• Numerical boolean operations:– A or B = max(A,B)– A and B = min(A,B)– Not A = 1 - A Demo Time

Page 23: HIViz: Visualizing an HIV Envelope Protein Philip Heller CMPS 261 Project Presentation Spring 2010

Conclusions

• Multiple views are a good compromise between Single-View-Busy-Features and Single-Feature-Busy-Views

• Ad-hoc predicate view supports scientific inquiry