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IMP Reference Guide
2.22.0
The Integrative Modeling Platform
IMP Manual
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include
IMP
isd
version 2.22.0
LognormalAmbiguousRestraint.h
Go to the documentation of this file.
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/**
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* \file IMP/isd/LognormalAmbiguousRestraint.h
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* \brief A sigmoid shaped restraint between
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* residues with discrete classifier
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* and ambiguous assignment. To be used with
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* cross-linking mass-spectrometry data.
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*
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* Copyright 2007-2022 IMP Inventors. All rights reserved.
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*
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*/
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#ifndef IMPISD_LOGNORMAL_AMBIGUOUS_RESTRAINT_H
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#define IMPISD_LOGNORMAL_AMBIGUOUS_RESTRAINT_H
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#include <
IMP/isd/Scale.h
>
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#include <IMP/isd/isd_config.h>
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#include <
IMP/Restraint.h
>
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#include <
IMP/PairContainer.h
>
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IMPISD_BEGIN_NAMESPACE
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/** A restraint for ambiguous cross-linking MS data.
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\f$ z_i \f$ is the discrete classifier,
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\f$ \sigma_G \f$ is the uncertainty estimate for good data points,
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\f$ \sigma_B \f$ is the uncertainty estimate for bad data points,
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\f$ k_i \f$ is the index of the restraint to be
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picked up from the ambiguous set, and
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\f$ \lambda_0 \f$ is the maximum length for the cross-linker.
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Usage: Construct the ambiguous set using
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LognormalAmbiguousRestraint(\f$ z_i \f$, \f$ \sigma_G \f$,
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\f$ \sigma_B \f$, \f$ k_i \f$, \f$ \lambda_0 \f$).
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Pass individual cross-linked particles to
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add_contribution(part0, part1).
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The marginal likelihood is modeled by a sigmoid function:
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\f[p(D|X,I) = \frac{1}{\lambda_0+\sigma(\sqrt(\pi/2)-1)}
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[1+\theta(r_k-\lambda_0+\sigma)[\exp(-\frac{(r_k-
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\lambda_0+\sigma)^2}{2\sigma^2})]]
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\f]
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where \f$ \sigma=z_i\sigma_G+(1-z_i)\sigma_B \f$
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and \f$ r_k \f$ is the distance between part0 and part1.
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*/
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class
IMPISDEXPORT
LognormalAmbiguousRestraint
:
public
Restraint
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{
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Pointer<Particle>
p1_;
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Pointer<Particle>
p2_;
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Pointer<Particle>
ki_;
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Pointer<Particle>
sigmaG_;
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Particles
omegas_;
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Floats
lexp_;
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public
:
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//! Create the restraint.
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/** Restraints should store the particles they are to act on,
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preferably in a Singleton or PairContainer as appropriate.
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*/
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LognormalAmbiguousRestraint
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(
Particle
*p1,
Particle
*p2,
Particle
*ki,
Particle
*sigmaG);
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// add a contribution: simple case
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void
add_contribution(
double
lexp,
Particle
*omega);
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unsigned
get_number_of_contributions()
const
{
return
lexp_.size();}
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void
draw_k_from_posterior(
double
kt);
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/* call for probability */
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double
get_probability()
const
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{
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return
exp(-
unprotected_evaluate
(NULL));
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}
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virtual
double
unprotected_evaluate
(
IMP::DerivativeAccumulator
*accum)
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const override
;
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virtual
IMP::ModelObjectsTemp
do_get_inputs
()
const override
;
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IMP_OBJECT_METHODS
(
LognormalAmbiguousRestraint
);
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};
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IMPISD_END_NAMESPACE
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#endif
/* IMPISD_LOGNORMAL_AMBIGUOUS_RESTRAINT_H */
IMP::isd::LognormalAmbiguousRestraint
Definition:
LognormalAmbiguousRestraint.h:45
IMP_OBJECT_METHODS
#define IMP_OBJECT_METHODS(Name)
Define the basic things needed by any Object.
Definition:
object_macros.h:25
IMP::Restraint::unprotected_evaluate
virtual double unprotected_evaluate(DerivativeAccumulator *da) const
Return the unweighted score for the restraint.
Scale.h
A decorator for scale parameters particles.
IMP::Vector< Pointer< Particle > >
IMP::Pointer
A smart pointer to a reference counted object.
Definition:
Pointer.h:87
PairContainer.h
A container for Pairs.
IMP::Particle
Class to handle individual particles of a Model object.
Definition:
Particle.h:43
Restraint.h
Abstract base class for all restraints.
IMP::ModelObject::do_get_inputs
virtual ModelObjectsTemp do_get_inputs() const =0
IMP::DerivativeAccumulator
Class for adding derivatives from restraints to the model.
Definition:
DerivativeAccumulator.h:24
IMP::Restraint
A restraint is a term in an IMP ScoringFunction.
Definition:
Restraint.h:56