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Update 01-Force_Fields_and_Interactions.md
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Figure from: [AI-Driven Multiscale Simulations Illuminate Mechanisms of SARS-CoV-2 Spike Dynamics](https://youtu.be/EIReA3s1Nwk)
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{: .text-center :}
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- The size and the length of MD simulations has been recently vastly improved.
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- Longer and larger simulations allow us to tackle wider range of problems under a wide variety of conditions.
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- The size and the length of MD simulations have been recently vastly improved.
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- Longer and larger simulations allow us to tackle a wider range of problems under a wider variety of conditions.
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----
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## The theory behind the method of MD.
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### Force Fields
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- Understanding complex biological phenomena requires simulations of large systems for a long time windows.
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- Understanding complex biological phenomena requires simulations of large systems for a long time window.
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- The forces acting between atoms and molecules are very complex.
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- Very fast method of evaluations molecular interactions is needed to achieve these goals.
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## Energy Terms of Biomolecular Force Fields
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### Non-Bonded Terms
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- Describe non-elecrostatic and electrostatic interactions between all pairs of atoms.
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- Describe non-electrostatic and electrostatic interactions between all pairs of atoms.
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![graph: Interactions]({{ page.root }}/fig/nb_matrix.svg){: width="260" }
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- Non-elecrostatic potential energy is most commonly described with the Lennard-Jones potential.
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- Non-electrostatic potential energy is most commonly described with the Lennard-Jones potential.
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#### The Lennard-Jones potential
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- Approximates the potential energy of non-elecrostatic interaction between a pair of non-bonded atoms or molecules:
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- Approximates the potential energy of non-electrostatic interaction between a pair of non-bonded atoms or molecules:
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$V_{LJ}(r)=\frac{C12}{r^{12}}-\frac{C6}{r^{6}}$
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{: .math-center:}
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#### The Lennard-Jones Combining Rules
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- The *LJ* interactions between different types of atoms are computed by combining the *LJ* parameters.
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- Avoid huge number of parameters for each combination of different atom types.
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- Avoid a huge number of parameters for each combination of different atom types.
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- Different force fields use different combining rules.
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![Combining rules ]({{ page.root }}/fig/combining_rules.svg){: width="380" }
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**Lorentz–Berthelot:**
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$$\sigma_{ij}=\frac{\sigma_{ii}+\sigma_{jj}}{2},\qquad \epsilon_{ij}=\sqrt{\epsilon_{ii}\times\epsilon_{jj}}\qquad $$ (CHARM, AMBER).
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$$\sigma_{ij}=\frac{\sigma_{ii}+\sigma_{jj}}{2},\qquad \epsilon_{ij}=\sqrt{\epsilon_{ii}\times\epsilon_{jj}}\qquad $$ (CHARMM, AMBER).
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- Known issues: overestimates the well depth
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>## Less common combining rules.
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>**Waldman–Hagler:**
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>
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>$$\sigma_{ij}=\left(\frac{\sigma_{ii}^{6}+\sigma_{jj}^{6}}{2}\right)^{\frac{1}{6}}$$ , $$ \epsilon_{ij}=\sqrt{\epsilon_{ij}\epsilon_{jj}}\times\frac{2\sigma_{ii}^3\sigma_{jj}^3}{\sigma_{ii}^6+\sigma_{jj}^6}$$
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>$$\sigma_{ij}=\left(\frac{\sigma_{ii}^{6}+\sigma_{jj}^{6}}{2}\right)^{\frac{1}{6}}$$ , $$ \epsilon_{ij}=\sqrt{\epsilon_{ii}\epsilon_{jj}}\times\frac{2\sigma_{ii}^3\sigma_{jj}^3}{\sigma_{ii}^6+\sigma_{jj}^6}$$
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>
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>This combining rule was developed specifically for simulation of noble gases.
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>
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- Risk of "buckingham catastrophe" at short distances.
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There is only one combining rule for Buckingham potential in GROMACS:
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$A_{ij}=\sqrt{(A_{ii}A_{jj})}$
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$B_{ij}=2/(\frac{1}{B_{ii}}+\frac{1}{B_{jj}})$
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$C_{ij}=\sqrt{(C_{ii}C_{jj})}$
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$A_{ij}=\sqrt{A_{ii}\times{A_{jj}}}$
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$B_{ij}=\frac{2}{\frac{1}{B_{ii}}+\frac{1}{B_{jj}}}$
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$C_{ij}=\sqrt{C_{ii}\times{C_{jj}}}$
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{: .self_study_text :}
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**Combining rule (GROMACS)**:
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$$A_{ij}=\sqrt{(A_{ii}A_{jj})} \qquad B_{ij}=2/(\frac{1}{B_{ii}}+\frac{1}{B_{jj}}) \qquad C_{ij}=\sqrt{(C_{ii}C_{jj})}$$
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$$A_{ij}=\sqrt{A_{ii}\times{A_{jj}}} \qquad B_{ij}=\frac{2}{\frac{1}{B_{ii}}+\frac{1}{B_{jj}}} \qquad C_{ij}=\sqrt{C_{ii}\times{C_{jj}}}$$
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{: .instructor_notes :}
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> Geometric mean is selected by using rules 1 and 3;
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> Lorentz–Berthelot rule is selected using rule 2.
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>
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> GROMOS force field requires rule 1; OPLS requires rule 3; CHARM and AMBER require rule 2
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> GROMOS force field requires rule 1; OPLS requires rule 3; CHARMM and AMBER require rule 2
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>
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> The type of potential function is specified in the 'nbfunc' column: 1 selects Lennard-Jones potential, 2 selects Buckingham potential.
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{: .callout .self_study_text }
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![graph: improper-dihedral potential]({{ page.root }}/fig/improper.svg){: width="200" }
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Where the dihedral angle $$\phi$$ is the angle between planes ijk and ijl.
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{: .self_study_text :}
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- The dihedral angle $$\phi$$ is the angle between planes ijk and ijl.
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- Implemented in CHARMM and AMOEBA force fields.
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### CHARMM CMAP correction potential
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- Peptide torsion angles: phi, psi, omega.
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- A protein can be seen as a series of linked sequences of peptide units which can rotate around phi/psi angles.
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- phi/psi angles define the conformation of the backbone.
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- Peptide torsion angles: $\phi$, $\psi$, $\omega$.
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- A protein can be seen as a series of linked sequences of peptide units which can rotate around $\phi/\psi$ angles.
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- $\phi/\psi$ angles define the conformation of the backbone.
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![graph: Phi Psi]({{ page.root }}/fig/phipsi.png){: width="400" }
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- phi/psi dihedral angle potentials correct for force field deficiencies such as errors in non-bonded interactions, electrostatics, lack of coupling terms, inaccurate combination, etc.
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- $\phi/\psi$ dihedral angle potentials correct for force field deficiencies such as errors in non-bonded interactions, electrostatics, lack of coupling terms, inaccurate combination, etc.
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- CMAP potential was developed to improve the sampling of backbone conformations.
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- CMAP parameter does not define a continuous function.
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- it is a grid of energy correction factors defined for each pair of phi/psi angles typically tabulated with 15 degree increments.
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- It is a grid of energy correction factors defined for each pair of$\phi/\psi$ angles typically tabulated with 15 degree increments.
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![graph: Phi Psi]({{ page.root }}/fig/cmap_energy.png){: width="240" }
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