Analysis of Protein Geometry, Particularly Related to Packingat the Protein Surface
Copyright 1997 Mark Gerstein
N.B. What follows are transparencies created for a talk. Feel free to download and read them as you would the Xerox of a paper. However, you should NOT incorporate any of them into published documents or distribute them without contacting the author.
Analysis of Protein Geometry, Particularly Related to Packingat the Protein Surface
What is Protein Geometry?
- Derivative Concepts
- Distance, Surface Area, Volume, Cavity, Groove, Axes, Angle, &c
- Relation to
- Function, Energies (E(x)), Dynamics (dx/dt)
Packing at Interfaces
- Voronoi volumes (and D. triangulation) to measure packing
- Tight core packing v. Loose surface packing
- Grooves & ridges: close-packing v. H-bonding
- How packing defines a surface (hydration surface)
Classic Papers
- Lee, B. & Richards, F. M. (1971). “The Interpretation of Protein Structures: Estimation of Static Accessibility,” J. Mol. Biol. 55, 379-400.
- Richards, F. M. (1974). “The Interpretation of Protein Structures: Total Volume, Group Volume Distributions and Packing Density,” J. Mol. Biol. 82, 1-14.
- Richards, F. M. (1977). “Areas, Volumes, Packing, and Protein Structure,” Ann. Rev. Biophys. Bioeng. 6, 151-76.
Lego
Packing ~ VDW force
- Longer-range isotropic attractive tail provides general cohesion
- Shorter-ranged repulsion determines detailed geometry of interaction
- Billiard Ball model, WCA Theory
Close-packing is Default
- No tight packing when highly directional interactions (such as H-bonds) need to be satisfied
- Packing spheres (.74), hexagonal
- Water (~.35), “Open” tetrahedral, H-bonds
Water v. Argon
Voronoi Volumes
- Each atom surrounded by a single convex polyhedron and allocated space within it
- Allocation of all space (large V implies cavities)
- 2 methods of determination
- Find planes separating atoms, intersection of these is polyhedron
- Locate vertices, which are equidistant from 4 atoms
Voronoi Volumes, the Natural Way to Measure Packing
Packing Efficiency
= Volume-of-Object-----------------Space-it-occupies
= V(VDW) / V(Voronoi)
- Other methods
- Measure Cavity Volume (grids, constructions, &c)
Delauney Triangulation, the Natural Way to Define Packing Neighbors
- Related to Voronoi polyhedra (dual)
- What “coordination number” does an atom have? Doesn’t depend on distance
Standard Residue Volumes
- Database of many hi-res structures (~100, 2 Å)
- Volumes statistics for buried residues (various selections, resample, &c)
- Standard atomic volumes harder… parameter set development...
Clustering into a set of Atom Types
- Which atoms are equivalent? How many types valid?
- 18 types, [CNOS][34]H[123][bsu]
Atoms have different sizes
- Difficulty with Voronoi Meth.Not all atoms created equal
- Solutions
- Bisection -- plane midway between atoms
- Method B (Richards)Positions the dividing plane according to ratio
- Radical Plane
Set of VDW Radii
- Great differences in a sensitive parameter (Radii for carbon 1.87 vs 2.00)
- Complex calculation: minimizing SD, iterative procedure, from protein structures
- Look for common distances in CCD
Standard Core Volumes (Prelim.)
PPT Slide
PPT Slide
Small Packing Changes Significant
- Bounded within a range of 0.5 (.8 and .3)
- Many observations in standard volumes gives small error about the mean (SD/sqrt(N))
ALREADY MADE:Apply Voronoi Polyhedra to Protein Surface
- Helps to understand why ligands bind
- Elements of molecular recognition
- Docking & rational drug design
- Problem of missing atoms (waters) in crystal structures
- Simulation to put in waters
- Ultra-high resolution structures (1.5 Å or better)
ALREADY MADE:Surface Volume Increase in 20 High Resolution Structures
- 20 ultra hi-res structures (ə.5 Å),crystal symmetry
- Volume (Å3) of -CH2-
- Protein core 23.5
- In solution 26.5
- In organic solvent 29.0
- On protein surface 24.7
- Similar results for all atom types
-
- 55% non-polar 45% polar
- Missing charged atoms
ALREADY MADE:Simulation
- ENCAD NVE MD, F3C waters, ~1 ns
- PTI 2300 H2O + 454 protein atoms
- RNase 3732 H2O + 951 protein atoms
- Sim. & xtal. struc. similar overall results
- Vol. incr. -CH2- on surface ~7%
- Vol. incr. all atoms on surface ~6%
- However, the few charged atoms shrink, due to electroconstriction
- -O (D,E) Surface 9 atoms 13.2 Å3
- -O (D,E) Core 1 atom 13.7 Å3
- -NH2 (R) Surface 14 atoms 28.0 Å3
- -NH2 (R) Core 2 atoms 29.7 Å3
- Water volume can be calculated and classified on basis of protein atoms water shares most polyhedra faces with (“near”)
- Near charged 28.8 Å3
- Near polar 29.2 Å3
- ? Bulk 29.7 Å3
- Near apolar 29.9 Å3
ALREADY MADE:picture of PTI simulation
Ways of Rationalizing Packing
ALREADY MADE:Compressibility
- Fluctuations in polyhedra volume over simulation related to compressibility
- ° Same way amplitude of a spring is related to spring constant
- ° =
- ° Rigorous for NPT only, approximately true for part of NVE
- Simulation Results (avg. fluctuations as %SD and compressibility)
- Protein core 9.7 % .14
- Protein surface 11.7 % .29
- Water near protein 13.2 % .50
- Bulk water 11.9 % .41
- ° Consistent with more variable packing at protein surface
- Results verified by doing high-pressure simulation (5000 atm, 10000 atm)
- ° Allows calculation of compressibility from definition C17
ALREADY MADE PICTURE:[C19: 7rsa.surfcv.cont.rgb.gz]
- ° Fractional Accessibility (Us, Richards)
- ° SurFractal (Tainer, Getzoff)
- Expansion of Grooves
- Avg. ?V of a Groove atom 3.5 Å3
- Avg. ?V of a Ridge atom 3.2 Å3
- Avg. ASA of a Groove atom 5.8 Å2
- Avg. ASA of a Ridge atom 19.2 Å2
- Groove ?V per unit surf. area 0.60 Å
- Ridge ?V per unit surf. area 0.16 Å
- Atoms in grooves also appear to be more compressible.
ALREADY MADE:Structural Hydrophobicity
- Sharp, Nicholls, & Honig
- Hydrophobicity related to surface structure (curvature) not chemical types of atoms
- Concave surfaces are more hydrophobic
- Can Structural Hydrophobicity be Observed?
- ° Physically explained by difficulty of a water to fit into narrow surface crevice
- \ Narrow grooves might not be packed that tightly
- \ Look at relation between packing efficiency and surface curvature
ALREADY MADE:Expansion of Surface Grooves
- Various measures of curvature to divide surface into ridges and grooves
- ° Occluded solid angle (Sharp, Honig)
Packing defines the “Correct Definition” of the Protein Surface
- Voronoi polyhedra are the Natural way to study packing!
- How reasonable is a geometric definition of the surface in light of what we know about packing
- The relationship between
- accessible surface
- molecular surface
- Delauney Triangulation (Convex Hull)
- polyhedra faces
- hydration surface
Defining Surfaces from Packing: Convex Hull and Layers of Waters
Defining a Surface from the Faces of Voronoi Polyhedra
Accessible Surface as a Time-averaged Water Layer
The Hydration Surface: Trying to Model Real Water
ALREADY MADE:Toy System
- Number density
- g = Normal water,straight & helical projections
- For usual RDF “volume elements” are concentric spherical shells
- Here, they are tiny vertical columns and helices perpendicular to page
- More intuition about groove expansion
- Compare water packing with that of simple liquid (“re-scaled Ar”)
- Also, look at F3C v. TIP4 and MC v. MD
Second Solvent Shell:Water v LJ Liquid
ALREADY MADE:helical projections
- [C23: ZO.ps.Z] & [C25: lj272-ZO.ps.Z]
- 2nd shell forms a “boundary” around protein
- Higher water density near partially charged atoms (O and N) than around uncharged atoms (CA and CB)
- “Uncharged” water in st. & hel. proj.
-
Hydration Surface
- Bring together two helices
- Unusually low water density in grooves and crevices — especially, as compared to uncharged water
- Fit line through second shell
Packing at Interfaces
- Voronoi volumes (and D. triangulation) to measure packing
- Tight core packing v. Loose surface packing
- Grooves & ridges: close-packing v. H-bonding
- How packing defines a surface (hydration surface)
Credits
http://bioinfo.csb.yale.edu/Geometry/csb-seminar
References
- Gerstein, M. & Chothia, C. (1996). Packing at the Protein-Water Interface. Proc. Natl. Acad. Sci. USA 93, 10167-10172.
- Gerstein, M. & Lynden-Bell, R. M. (1993). Simulation of Water around a Model Protein Helix. 2. The Relative Contributions of Packing, Hydrophobicity, and Hydrogen Bonding. J. Phys. Chem. 97, 2991-2999.
- Gerstein, M. & Lynden-Bell, R. M. (1993). What is the natural boundary for a protein in solution? J. Mol. Biol. 230, 641-650.
- Gerstein, M., Tsai, J. & Levitt, M. (1995). The volume of atoms on the protein surface: Calculated from simulation, using Voronoi polyhedra. J. Mol. Biol. 249, 955-966.
- Harpaz, Y., Gerstein, M. & Chothia, C. (1994). Volume Changes on Protein Folding. Structure 2, 641-649.
18 (or 11) different atom types
- [CONS] [34] H [0123] [bsu]
- C3H0b C3H0_ C3___ carboxyl and carbonyl Cs without branching and aromatic C without H
- C3H0s "" "" carbonyl carbons with branching (mainchain carbonyls Cs with C in CB)
- C3H1b C3H1_ "" aromatic carbons with one hydrogen, larger for facing away from chain
- C3H1s "" "" aromatic carbons with one hydrogen, small for usw. facing towards chain
- C43Hu C4H3_ C4___ aliphatic carbons with three hydrogens, methyls
- C4H2b C4H2_ "" aliphatic carbons with two hydrogens, big
- C4H2s "" "" aliphatic carbons with two hydrogens, small
- C4H1b C4H1_ "" aliphatic carbons with one hydrogen and no branching
- C4H1s "" "" aliphatic carbons with one H and branching from all 3 heavy atom bonds
- N3H0u N3___ N____ amide nitrogens with no hydrogens (proline's N)
- N3H1b "" "" amide nitrogens with one hydrogen (on sidechains)
- N3H1s "" "" amide nitrogens with one hydrogen (all other mainchain N's)
- N3H2u "" "" all amide nitrogens with 2 hydrogens (all at the end of side chains)
- N4H3u N4___ "" amide nitrogen charged, with 3 hydrogens (lysine's NZ)
Compare Volumes: Core v. Amino Acid Crystals
- Example residue volume: Leu (Å3)
- Residue in the protein core 165
- VDW envelope 128
- Absolute packing efficiency 78 %
- Sidechain in the protein core 101
- Sidechain in a.a. crystal 110
- Sidechain in solution 107
- Example atomic volume: -CH2- (Å3)
- Protein core 23.5
- In solution 26.5
- In organic solvent 29.0
ALREADY MADE: Compare standard volumes with amino acids SOLUTION volumes
- Use already made overhead
-
- Example the volume of a Leu (Å3)
- Residue in the protein core 165
- VDW envelope 128
- Sidechain in the protein core 101
- Sidechain in a.a. crystal 110
- Sidechain in solution 107
- ? Solution volumes originally determined by Cohn et al. ; recently, refined by others
- ° Cohn et al. (1934). JACS 56: 784
- ° Mishra & Ahluwalia (1984). JPC 88: 86
- ° Rao et al. (1984). JPC 88: 3129
- ? How does sidechain volume change upon protein folding ? [?SC]
- -4 aliphatic residues pack more tightly in core than soln.
- 0 aromatic, hydroxyl, sulfur-containing same volume in core as in soln.
- +7 charged and amide residues do not pack as well in core as in soln.
SKIP:Compare standard residue volumes with those amino acids occupy in solution (Detail)
- Use already made overhead
-
- Residue &Side Chainin protein interior aliphatic residues –4
- aromatic, hydroxyl, or sulfur-containing 0
- charged and amide residues +7
SKIP:Paradoxabout protein folding
- 1 Solution-transfer models of the hydrophobic effect predict an increase in volume of hydrophobic residues upon folding
- ° ?V(Ala from water to cyclohexane) > 0(Kauzmann, 1959, Adv in Protein Chem.. 14: 1 )
- Volume (Å3) of -CH2-
- ° in Protein Interior 23.5
- ° in Water 26.5
- ° in organic solvent 29.0
- 2 Experiment shows : no net change in protein volume (Brandts et al. ,1970, Biochemistry 9: 1038 )
- Both core residue volumes and amino-acid solution volumes can be used to estimate accurately the partial specific volume of proteins (within 1%).
SKIP:Our ResultsResolve this Paradox
- 3 We find :a decrease in volume of hydrophobic residues on folding, which is counterbalanced by an increase in volume of charged & amide residues, giving no net change.
- This cancellation provides a new and consistent explanation for the experimental fact.