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// Copyright (c) 2013-2020, SIB - Swiss Institute of Bioinformatics and
// Biozentrum - University of Basel
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include <promod3/modelling/kic.hh>
#include <promod3/modelling/ccd.hh>
#include <promod3/loop/backbone.hh>
#include <promod3/loop/loop_object_loader.hh>
#include <promod3/loop/torsion_sampler.hh>
#include <promod3/core/message.hh>
#define BOOST_TEST_DYN_LINK
#include <boost/test/unit_test.hpp>
#include <ost/io/mol/pdb_reader.hh>
#include <ost/conop/heuristic.hh>
#include <ost/mol/builder.hh>
BOOST_AUTO_TEST_SUITE( modelling );
using namespace promod3;
using namespace promod3::modelling;
namespace {
// checks, wether bond lengths and angles are similar to those of the CHARMM
// forcefield. It's possible to skip the last backbone item. This is due to the
// fact, that CCD has to modify the last item for better convergence and
// therefore some deviations are possible.
bool CheckBackbonePlausibility(const promod3::loop::BackboneList& bb_list, bool skip_last){
int correction;
if(skip_last) correction = 1;
else correction = 0;
// the parameters from the backbone trace (N, CA, C atoms) are taken as
// averages from the BBTraceParam function. They might differ from amino
// acid to amino acid, the tolerances have therefore been adapted.
// the parameters involving CB and O are chosen, so they match the
// corresponding construction functions
Real d_n_ca = 1.453445;
Real d_ca_c = 1.52119;
Real d_c_n = 1.348435;
Real d_c_o = 1.230;
Real d_ca_cb = 1.5;//this value is not taken from CHARMM, but from the
//ost cb reconstruction algorithm (CHARMM would be: 1.538)
Real a_c_n_ca = 2.16512457033;
Real a_n_ca_c = 1.87199652246;
Real a_ca_c_n = 2.04874601581;
//check internal bond_lengths
for (uint i = 0; i < bb_list.size()-correction; ++i) {
Real diff_n_ca = std::abs(geom::Distance(bb_list.GetN(i), bb_list.GetCA(i))
- d_n_ca);
Real diff_ca_c = std::abs(geom::Distance(bb_list.GetCA(i), bb_list.GetC(i))
- d_ca_c);
Real diff_c_o = std::abs(geom::Distance(bb_list.GetC(i), bb_list.GetO(i))
- d_c_o);
Real diff_ca_cb = std::abs(geom::Distance(bb_list.GetCA(i), bb_list.GetCB(i))
- d_ca_cb);
// ca_c values differ a bit more from amino acid to amino acid...
if (diff_n_ca > 0.01 || diff_ca_c > 0.02 || diff_c_o > 0.01
|| diff_ca_cb > 0.01) return false;
}
//check peptide bonds
for (uint i = 0; i < bb_list.size()-1-correction; ++i) {
Real diff_c_n = std::abs(geom::Distance(bb_list.GetC(i),bb_list.GetN(i+1)) - d_c_n);
if (diff_c_n > 0.01) return false;
}
//check internal angle
for (uint i = 0; i < bb_list.size()-correction; ++i) {
Real diff_n_ca_c = std::abs(geom::Angle(bb_list.GetN(i)-bb_list.GetCA(i),
bb_list.GetC(i)-bb_list.GetCA(i))
- a_n_ca_c);
// there is quit some variation. e.g. ALA has: 114.44 degrees,
// and valine 105.54 degrees
if (diff_n_ca_c > 0.13) return false;
}
//check c_n_ca angle
for(uint i = 1; i < bb_list.size()-correction; ++i){
Real diff_c_n_ca = std::abs(geom::Angle(bb_list.GetC(i-1)-bb_list.GetN(i),
bb_list.GetCA(i)-bb_list.GetN(i))
- a_c_n_ca);
if (diff_c_n_ca > 0.05) return false;
}
//check ca_c_n angle
for(uint i = 0; i < bb_list.size()-1-correction; ++i){
Real diff_ca_c_n = std::abs(geom::Angle(bb_list.GetCA(i)-bb_list.GetC(i),
bb_list.GetN(i+1)-bb_list.GetC(i))
- a_ca_c_n);
if (diff_ca_c_n > 0.05) return false;
}
return true;
}
}
BOOST_AUTO_TEST_CASE(test_ccd_closing) {
loop::TorsionSamplerPtr torsion_sampler = loop::LoadTorsionSamplerCoil();
//load an entity to test...
String pdb_name = "data/4nyk.pdb";
ost::io::PDBReader reader(pdb_name, ost::io::IOProfile());
ost::mol::EntityHandle test_ent = ost::mol::CreateEntity();
reader.Import(test_ent);
ost::conop::ProcessorPtr processor(new ost::conop::HeuristicProcessor(false,true,true,true,ost::conop::CONOP_SILENT));
processor->Process(test_ent);
String gap_sequence = "RIDCETRYL";
// the defined loop already is rather helical, so a helical initialization is
// already a good aproximation
loop::BackboneList bb_list_one(gap_sequence);
loop::BackboneList bb_list_two(gap_sequence);
ost::mol::ResNum n_res_num(310);
ost::mol::ResNum c_res_num(318);
ost::mol::ResidueHandle n_stem = test_ent.FindResidue("A",n_res_num);
ost::mol::ResidueHandle c_stem = test_ent.FindResidue("A",c_res_num);
geom::Vec3 c_stem_n_pos = c_stem.FindAtom("N").GetPos();
geom::Vec3 c_stem_ca_pos = c_stem.FindAtom("CA").GetPos();
geom::Vec3 c_stem_c_pos = c_stem.FindAtom("C").GetPos();
//test loop closing without torsion sampler
CCD closer_one(n_stem, c_stem);
bool converged_one = closer_one.Close(bb_list_one);
//test loop closing with torsion sampler
CCD closer_two(gap_sequence, n_stem, c_stem, torsion_sampler);
bool converged_two = closer_two.Close(bb_list_two);
//check, whether they converged
BOOST_CHECK(converged_one);
BOOST_CHECK(converged_two);
//we still manually check, whether the c_stem rmsd really is below the threshold
const uint last_idx = bb_list_one.size() - 1;
Real rmsd_one = 0;
Real rmsd_two = 0;
rmsd_one += geom::Length2(c_stem_n_pos-bb_list_one.GetN(last_idx));
rmsd_one += geom::Length2(c_stem_ca_pos-bb_list_one.GetCA(last_idx));
rmsd_one += geom::Length2(c_stem_c_pos-bb_list_one.GetC(last_idx));
rmsd_one /= 3;
rmsd_one = std::sqrt(rmsd_one);
rmsd_two += geom::Length2(c_stem_n_pos-bb_list_two.GetN(last_idx));
rmsd_two += geom::Length2(c_stem_ca_pos-bb_list_two.GetCA(last_idx));
rmsd_two += geom::Length2(c_stem_c_pos-bb_list_two.GetC(last_idx));
rmsd_two /= 3;
rmsd_two = std::sqrt(rmsd_two);
BOOST_CHECK(rmsd_one < 0.1);
BOOST_CHECK(rmsd_two < 0.1);
//let's finally check whether the bond lenght and angles are in a plausible range
BOOST_CHECK(CheckBackbonePlausibility(bb_list_one, true));
BOOST_CHECK(CheckBackbonePlausibility(bb_list_two, true));
}
BOOST_AUTO_TEST_CASE(test_kic_closing) {
// load an entity to test...
String pdb_name = "data/4nyk.pdb";
ost::io::PDBReader reader(pdb_name, ost::io::IOProfile());
ost::mol::EntityHandle test_ent = ost::mol::CreateEntity();
reader.Import(test_ent);
ost::conop::ProcessorPtr processor(new ost::conop::HeuristicProcessor(false,true,true,true,ost::conop::CONOP_SILENT));
processor->Process(test_ent);
String gap_sequence = "PALDFLVEK";
// note: the defined loop already is rather helical, so a helical
// initialization (def. bb_list) is already a good aproximation
loop::BackboneList bb_list(gap_sequence);
ost::mol::ResNum n_res_num(347);
ost::mol::ResNum c_res_num(355);
ost::mol::ResidueHandle n_stem = test_ent.FindResidue("A",n_res_num);
ost::mol::ResidueHandle c_stem = test_ent.FindResidue("A",c_res_num);
std::vector<loop::BackboneList> kic_solutions;
KIC closer(n_stem,c_stem);
closer.Close(bb_list, 1, 4, 6, kic_solutions);
// with this constellation, KIC should find 4 solutions
BOOST_CHECK(kic_solutions.size() == 4);
// check the plausibility of all kic solutions
for (std::vector<loop::BackboneList>::iterator i = kic_solutions.begin();
i != kic_solutions.end(); ++i) {
BOOST_CHECK(CheckBackbonePlausibility(*i, false));
}
}
BOOST_AUTO_TEST_SUITE_END();
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