23.02.2015 Views

UC Riverside Undergraduate Research Journal

UC Riverside Undergraduate Research Journal

UC Riverside Undergraduate Research Journal

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Computational Prediction of Association Free Energies for the C3d-CR2 Complex and Comparison to Experimental Data<br />

Alexander S. Cheung<br />

methionine of C3d which is an artifact added by the protein<br />

expression system. One of the chains in the PDB file, chain<br />

C, a CR2 molecule that is not in contact with C3d, was also<br />

removed. This is because chain C is irrelevant in this study,<br />

since it is known that CR2 behaves as a monomer in solution<br />

[7]. What remains is a C3d molecule, consisting of 306 amino<br />

acids, in contact with a CR2 molecule, consisting of 129<br />

amino acids. We used the program SPDBV (Swiss Protein<br />

Data Bank Viewer) [17], version 3.7, to renumber the amino<br />

acids and atoms in the PDB file (displacing every atom by<br />

-1, resulting in a total of 435 amino acids consisting of 3399<br />

atoms) and subsequently separate the two components of the<br />

complex to create one PDB file with C3d alone and one PDB<br />

file with CR2 alone. After separation, amino acids and atoms<br />

were renumbered for CR2 to begin at residue 307 and atom<br />

2413. Thus three PDB files constitute the final output of<br />

this step: one PDB file consisting of the C3d-CR2 complex,<br />

one consisting of C3d, and one consisting of CR2. These<br />

three PDB files are considered the “parent” PDB files. By<br />

generating each of the component parent PDB files from the<br />

complex parent PDB file in this way, it is ensured that the<br />

atomic coordinates of each component of the complex in<br />

each of their respective component files are identical to their<br />

atomic coordinates in the complex file. This is crucial for<br />

the accurate calculation of free energy differences. Finally,<br />

we used the program WHATIF [18] to add the missing<br />

C-terminal oxygen atom of C3d in the C3d-CR2 complex.<br />

The third step (Fig. 2) was the construction of the 23<br />

specific mutants. This is done using WHATIF, a home-made<br />

python script [19] that calls WHATIF, the three parent PDB<br />

files, and three input text files, each of which list the amino<br />

acid substitutions to be made in one of the three parent PDB<br />

files. Each of the 23 mutations had to be performed twice:<br />

once on the complex PDB file and again on the individual<br />

component file containing the mutation(s). Thus, the script<br />

was run three times, each time using as inputs one of the<br />

three parent PDB files and its corresponding input text file.<br />

For the purpose of consistency, each of the parent PDB files<br />

was also run through WHATIF manually without making any<br />

mutations. The outputs of this step are 23 mutant complex<br />

PDB files, 9 mutant C3d PDB files, 14 mutant CR2 PDB<br />

files, and the three parent PDB files (49 PDB files total).<br />

These 49 PDB files comprise 24 sets (parent and 23 mutants)<br />

of 3 PDB files each (C3d, CR2, complex).<br />

The fourth step (Fig. 2) was the removal of a<br />

WHATIF-specific header added to each PDB file in the<br />

last step, and the change of the nomenclature of C-terminal<br />

oxygens from O’’, which is recognizable by WHATIF, to<br />

OXT, which is recognizable by PDB2PQR (to be used in<br />

the next step). These two tasks are accomplished using<br />

home-made python scripts [19].<br />

The fifth step (Fig. 2) involved the use of the<br />

program, PDB2PQR [20] 1.2.1, to prepare the coordinate<br />

PDB files for use with APBS (see below). Through the use<br />

of a home-made python script, each of the 49 PDB files was<br />

run through PDB2PQR. The outputs were 49 files in PQR<br />

format, each containing three-dimensional atomic coordinate<br />

data as well as charge and van der Waals radii assigned<br />

according to the PARSE parameter file [20]. The default<br />

options for debumping and hydrogen bond optimization<br />

were left on. Debumping refers to local optimization to<br />

eliminate unfavorable van der Waals clashes (overlap or<br />

partial overlap of atomic radii). The hydrogen bond network<br />

optimization algorithm assures that optimal hydrogen bonds<br />

are present by 180 o -flipping the rings of histidine or of planar<br />

amine groups of glutamines or asparagines. This option is<br />

necessary because electron densities from X-ray diffraction<br />

data do not discriminate between the 0 o - and 180 o -flip states<br />

of these amino acid side chains.<br />

The purpose of steps 1-5 described above is to<br />

create the proper input files for use with the program<br />

APBS (Adaptive Poisson-Boltzmann Solver) [22]. The<br />

sixth step was calculation of electrostatic potentials using<br />

Figure 3. Hypothetical thermodynamic cycle. Horizontal processes<br />

represent association in vacuum (top) and in solution (bottom).<br />

Vertical processes represent solvation of the components (left)<br />

and of the complex (right). Electrostatic potential surfaces are<br />

visualized at ±30 kT/e for association in vacuum (top) and at ±1<br />

kT/e in solution (bottom).<br />

16 <strong>UC</strong>R Un d e r g r a d u a t e Re s e a r c h Jo u r n a l

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!