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Molecular Dynamics Simulations of Cro Proteins: Mutation! Max Shokhirev Miyashita-Tama Group 5-14-08 Background Image from 1rzs1.pdb courtesy of PDB
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Overview Background Evolution of Cro Proteins and what they are Ideas behind Molecular Dynamics (MD) Alanine Scanning Simulations Conclusions
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Evolution of Protein Structure Neutral Sequence Networks 1 1= ancestor 2= same fold descendant 3= different fold via unstable mutations (relaxed) 4= frameshift descendant 5= different fold via stable mutations
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Cro Proteins? DNA-binding proteins Initiate lytic pathway in bacteria 3 Ancestral forms have 5 α-helices, with the 2 nd and 3 rd forming a helix-turn-helix DNA- binding motif (P22 Cro is an example) Bacteriophage λ Cro consists of 3 α- helices and the 4 th and 5 th helices are replaced by a β-hairpin.
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P22 vs λ Cro P22 Cro λ Cro
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P22 vs λ Cro
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Two approaches… The Cro protein family has been studied with Alanine-Scanning Mutagenesis and Hybrid-Scanning Mutagenesis 1 Computational approach Molecular Dynamics Data-mining 4 Etc.
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Molecular Dynamics (MD) Deterministic Given initial conditions and parameters it is possible to calculate the conditions at any other point in time. Iterative (Discrete) Repeat force calculations at each time step and move particles accordingly. Need to pick Δt such that the particles move continuously
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Velocity-Verlet Integrator Scheme for calculating new position, velocity, and acceleration at each time step: Position 1. Compute New Position Half Velocity 2. Compute Half Velocity Force 3. Compute Force Velocity 4. Compute Velocity Position Velocity Acceleration Time step -1 -.5 0.5 1
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Initial Conditions… Initial Positions Extracted from PDB file Bonding Interactions Bonding information from PDB Direct bonds, allowed angles, allowed dihedrals Velocity? Generated using genVel based on equipartition theory at a specified temperature. Other parameters Masses, LJ types, Specific LJs, general simulation parameters
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Initial Temperature… The temperature is proportional to the average speed of particles in a system. We can assign temperatures based on the Maxwell-Boltzman velocity distribution function: V i = (Normalized Gaussian Random number) * sqrt((Kb*Na*T)/M i )
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Temperature Control… System is coupled to a virtual heat bath: V new =V old *sqrt(1-(ts/tau)*(1- T target /T current )) ts = time step length tau = coupling coefficient
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Force Field Force on each particle calculated from components Direct bond Angle Dihedral Specific LJ Non-specific LJ
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Bond Interactions V = ½k(X i -X 0 ) 2 F i = k*(X i -X 0 )/X i
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Angle Interactions
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Dihedral Interactions
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Lennard-Jones Interactions Non-specific LJ By atom type (6-12) Specific(native) LJ 6-12 10-12 10
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Thus far… Phase I Create a program for flexible MD simulations using a Go-like potential Simulator seems to be working for bond, angle, dihedral, LJ (10-12 and 6-12). Cro proteins are folding/unfolding! Phase II Results from honors thesis Phase III Mutational studies of Cro proteins
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Phase II – Honors Thesis Cro folding and unfolding Melting temperature simulations Comparison of 6-12 and 10-12 LJ interactions Alanine Scanning for P22 and Lambda Cro
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Cro Folding and Unfolding Temp = 350 Temp = 800 Temp = 350 Temp = 800 P22 Cro λ Cro
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Cro Folding and Unfolding T = 1000 T = 300
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Calculating Melting Temp 1. Run simulation(s) at different temps 2. Calculate Q values for each temp 1. At Tm Q values fluctuate around 0.5 2. Can plot histogram of Q values 3. Free energy profile for each temp 1. E = -Kb*T*log(P(q)) 3. Calculate Specific Heat 1. Derivative of total energy plot at each temp. 4. Values are not scaled to real-world values
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Q values for P22 Cro
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P22 Melting Temperature
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Q values for λ Cro
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λ Cro Melting Temperatures Purple = 10-12 LJ Orange = 6-12 LJ
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Melting Temperature from Specific Heat We can obtain the melting temperature by plotting the specific heat as a function of simulation temperature The specific heat is the derivative of the total energy function with respect to temperature
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Specific Heats P22 Cro ~ T=750 λ Cro ~ T= 685 6-12
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Real Melting Temperatures λ Cro 334 K 1 Oligomer with T m <= 313 K 1 λ Cro A33W/F58D pure monomer P22 Cro 327 K 1
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Melting Temperature Conc. P22 Cro ~ 745/750 λ Cro ~ 690/685 P22 Cro is a 2-state folder, λ Cro is not! P22 λ Cro
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Test Effect of LJ10-12 pot. Simulations performed on P22 Cro and λ Cro under nearly identical conditions 6-1210-12 Change the Lennard-Jones potential from a 6-12 pot to a 10-12 potential. This should theoretically increase “cooperativity” of folding 2
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LJ10-12 Results P22 λCro 6-12 LJ Potential 10-12 LJ Potential
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LJ Observations… 1. The melting temperatures decreased when using a 10-12 LJ potential. 2. The 10-12 LJ Potential shows a higher degree of cooperativity (esp for P22)
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Alanine Scanning Mutate the structurally divergent residues to alanine. Remove the native contacts for each residue. Simulations at the folding temperature of each Cro protein. Average Q values for each residue
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P22 Alanine Scanning
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Lambda Alanine Scanning
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Alanine Scanning Results Alanine Scanning simulations match melting temperature data Alanine Scanning simulations show regions that decrease stability, which does not match the real data.
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Phase III – Cro Mutation Studies What drives structural stability? Native interactions Native interactions (between divergent and not divergent domains) Dihedral Interactions Angle Interactions (the future)
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Removing native + dihedrals 1rzs: mykkdvidhf gtqravakal gisdaavsqw kevipekday rleivtagal kyqenayrqa a 5cro: meqritlkdyamrf gqtktakdlg vyqsainka- --ihagrkif ltinadgsvy aeevkpfpsn kktta
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Removing Native/Mixing Dihedrals 1rzs: mykkdvidhf gtqravakal gisdaavsqw kevipekday rleivtagal kyqenayrqa a 5cro: meqritlkdyamrf gqtktakdlg vyqsainka- --ihagrkif ltinadgsvy aeevkpfpsn kktta
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Removed Inter-domain native cont. 1rzs: mykkdvidhf gtqravakal gisdaavsqw kevipekday rleivtagal kyqenayrqa a 5cro: meqritlkdyamrf gqtktakdlg vyqsainka- --ihagrkif ltinadgsvy aeevkpfpsn kktta Purple Lambda 6-12 LJ Gray Lambda 10-12 LJ Red P22 10-12 LJ Black P22 6-12 LJ
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Removing Dihedral Angles Only 1rzs: mykkdvidhf gtqravakal gisdaavsqw kevipekday rleivtagal kyqenayrqa a 5cro: meqritlkdyamrf gqtktakdlg vyqsainka- --ihagrkif ltinadgsvy aeevkpfpsn kktta
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Conclusions An MD Simulation program was written to study Cro proteins P22 has been shown to unfold and refold as a function of temperature. Folding temperatures observed from free energy profile and specific heat data. λ Cro has only one free energy minimum at its folding temperature, while 2 minima are observed for P22 Cro. The 10-12 LJ interaction allows for higher cooperativity. Alanine scanning simulations qualitatively match real data. Dihedral angle interactions are essential to stability of mutants
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Acknowledgements… 1. "Relationship between sequence determinants of stability for two natural homologous proteins with different folds", L.O. Van Dorn, T. Newlove, S. Chang, W.M. Ingram, and M.H.J. Cordes. Biochemistry.45, 10542–10553 (2006). 2. “Scrutinizing the squeezed exponential kinetics observed in the folding simulation of an off- lattice Go-like protein model”, H. K. Nakamura, M.Sasai, M Takano. Chemical Physics. 307 259–267 (2004). “Mechanism of action of the cro protein of bacteriophage lambda.” A Johnson, B J Meyer, and M Ptashne. Proc Natl Acad Sci U S A. 75(4): 1783–1787 (1978). "High polar content of long buried blocks of sequence in protein domains suggests selection against amyloidogenic nonpolar sequences", A.U. Patki, A.C. Hausrath, and M.H.J. Cordes. Journal of Molecular Biology. 362, 800–809 (2006). Images Used: http://upload.wikimedia.org/math/8/1/d/81db614753d616c395a65928ac27686c.png http://www.geocities.com/drpaulng/UC-AquariumFilter.JPG http://upload.wikimedia.org/wikipedia/commons/4/42/Bond_dihedral_angle.png Dr. Osamu Miyashita Dr. Florence Tama M-T Group
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