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Virtual screening and modelling: must it be atoms

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An approximation that relies on the transferability of properties of atoms and ... Lead to two-center terms inseparable from dispersion/steric repulsion ... – PowerPoint PPT presentation

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Title: Virtual screening and modelling: must it be atoms


1
Virtual screening and modelling must it be atoms?
Virtual screening and modelling must it be atoms?
Tim Clark Computer-Chemie-Centrum Universität
Erlangen-Nürnberg
2
What are molecules?
3
A Paradigm-shift?
4
Atoms in molecules (AIM)
  • An approximation that relies on the
    transferability of properties of atoms and groups
    between molecules
  • This requires transferability of the electron
    density assignable to an atom or group
  • Follows from the first Hohenberg-Kohn theorem
  • Made popular in the ab initio community by
    Richard Bader

5
AIM in virtual screening and modelling
  • Fingerprints
  • Fragment models
  • Similarity (usually)
  • Topological indices and descriptors
  • Graph theory
  • Atomic charge models
  • Force fields
  • Scoring functions
  • Generalised Born solvation models

6
AIM in scoring functions
7
Scoring functions
  • Desolvation free energies are probably at least
    as large as the complexation energy
  • Two-center scoring increments assume transferable
    desolvation energies on both sides
  • Is it any wonder we dont have a global scoring
    function?
  • Why do we accept that scoring functions are local?

8
AIM in similarity searching
  • Almost all classical methods are based on the
    bonding graph
  • Carbo and Hodgkin indices are an exception
  • They therefore find very similar bonding graphs
  • May miss similar molecules
  • Discriminate against scaffold hops

9
AIM in modelling force fields
  • We usually use all-atom models
  • United-atom force fields are limited and
    sacrifice accuracy
  • All-atom models have two major disadvantages
  • They scale badly
  • They introduce high-frequency vibrational motion
    that doesnt interest us
  • Short time steps
  • Use SHAKE to remove (!)
  • Vibrational partition function plays no role in
    the quantities that interest us

10
AIM in modellingelectrostatics
  • Most force fields use point atomic multipoles
  • Lead to two-center terms inseparable from
    dispersion/steric repulsion
  • Overpolarise at short distances
  • Are not properly shielded at long distances
  • Must use fictitious and unphysical dielectric
    constants

11
Can we abandon AIM?
  • Means moving to exclusively 3D methods
  • No comfortable solution to the conformation
    problem

12
Can we abandon AIM?
  • We need to know where the hydrogens are
  • Which tautomer(s) are present in solution and
    bound to the receptor?
  • Requires
  • Systematic tautomer searching ?
  • Very accurate pKa models ?

13
What do we need?
  • Fast accurate generation of molecular surfaces
  • Most consistent are isodensity surfaces
  • These require the electron density (but not
    necessarily quantum mechanics)

14
What do we need?
  • Ways to manipulate surfaces and surface
    properties quickly and efficiently
  • Spherical harmonics
  • Critical points
  • Visual pattern recognition?
  • PC-games technology (hardware and software)?

15
What do we need?
  • Local properties to describe intermolecular
    interactions
  • Molecular electrostatic potential for
    Coulomb-interactions
  • Donor-acceptor?
  • Dispersion?

16
What do we need?
  • Intermolecular energy functions
  • Surface-surface overlap
  • Electrostatic, donor-acceptor, dispersion,
    repulsion
  • If we include polarizability, these can be
    parameterised using ab initio data

17
What do we need?
  • Anisotropic united-atom force field
  • Monte-Carlo only needs energies
  • Molecular dynamics needs
  • MD in torsional coordinates
  • Forces for anisotropic united atoms

18
What do we need?
  • Surface-integral free energies
  • Critical for scoring functions, which otherwise
    use the force-field intermolcular energies
  • Provide an attractive alternative to
    descriptor-plus-interpolation QSPR-models
  • Solvation ?, lattice energies ?, vapour pressures
    ?, partition coefficients ?, solubilities ?.....

19
Competence
  • Aberdeen
  • Spherical-harmonic surfaces, manipulation,
    superposition, docking
  • Erlangen
  • Quantum mechanics, local properties,
    surface-integral models, modelling
  • Oxford
  • Pattern-recognition
  • Portsmouth
  • Chemometrics, mapping, conformational searching
  • Southampton
  • Classical MD, sampling, pattern-recognition, free
    energies
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