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Jungfraujoch/gemmi_gph/gemmi/align.hpp
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v1.0.0-rc.159 (#69)
This is an UNSTABLE release. It includes many experimental features, as well as many AI generated fixes. We recommend using rc.152 for production use.

* rugnux: Add `--model model.pdb` - score the merged data against an atomic model and compute initial maps. It reports R-work/R-free (scaling the model to the observed amplitudes with an overall scale, an anisotropic B and a flat bulk solvent - the standard few-parameter model, so a batch of maps stays directly comparable) and writes 2Fo-Fc / Fo-Fc electron-density maps (CCP4) plus a map-coefficient MTZ. The structure itself is not refined; the model is only re-fractionalised into the data cell.
* rugnux: The merged reflection output now carries French-Wilson amplitudes (|F| and its sigma) next to the intensities - MTZ `F`/`SIGF`, mmCIF `_refln.F_meas_au`, and the text HKL - computed with the correct centric/acentric Wilson prior and epsilon multiplicity, so a downstream program (e.g. phenix.refine) can refine against amplitudes. The intensity columns are unchanged.
* rugnux: R-free test-set flags are now assigned deterministically and consistently across symmetry - a Bijvoet pair I(+)/I(-) is never split between the work and free sets, and the assignment is a reproducible per-hkl hash that depends only on the reflection index, so every dataset of one crystal form gets the same ~5% free set (what a multi-dataset campaign such as PanDDA needs). On small data the fraction is floored so the test set stays large enough for a stable R-free (~500 reflections, capped at 10%); it stays flat at 5% on ordinary data. When a reference MTZ carries a `FreeR_flag` column its test set is imported instead, letting a whole campaign inherit one shared free set.
* rugnux: A reference MTZ (`--reference-mtz`) can now fix the space group and cell for rotation data too (previously rejected), without being used to scale - the rotation merge stays self-consistent. When the crystal has an indexing (merohedral) ambiguity - a lattice symmetry higher than its Laue symmetry, e.g. P3/P4/P6/C2 - the reference also resolves it: each candidate reindexing (identity plus the twin-law cosets of the metric symmetry) is scored by its intensity correlation against the reference and the data are re-merged in the best-correlating one. This is a metric-preserving relabelling of hkl (the cell is unchanged) and a no-op for a holohedral crystal such as lysozyme.
* rugnux: `--model` validation now aligns the data to the model before scoring - the observed reflections are reindexed into the model's enantiomorph when the two differ only by hand (indistinguishable from merged intensities). A merohedral indexing ambiguity is resolved against the reference MTZ when one is given (so a whole campaign shares one indexing convention); only with a model and no reference does validation fall back to fitting each candidate reindexing and keeping the lowest R-free.
* rugnux: De-novo symmetry - recover a genuine high-symmetry group whose data are imperfectly scaled. Such a merge's within-orbit chi² lands just past the self-consistency bound (each real symmetry step adds a little systematic scatter), right where a merohedral twin also lands, so the chi² ratio alone cannot separate them. The candidate is now rescued when the extra intensity-proportional systematic error it invokes stays small relative to the confirmed subgroup - a genuine symmetry step gains multiplicity without inflating the merge error model's b, whereas a twin forces non-equivalent reflections together and b balloons. Fixes cubic insulin (I23 instead of I222) with no change to any other crystal in the test battery, including the twins that must stay in their lower symmetry.
* Docs: Document the French-Wilson amplitude estimation, R-free flagging, reference-based space-group/ambiguity resolution, and model-based validation/maps in CPU_DATA_ANALYSIS.md.
* Frontend: The status-bar pill now shows a progress bar during detector calibration (previously only during measurement), and the calibration state and its button are labelled "Calibration"/"CALIBRATE" (the internal `Pedestal` state name is unchanged for back-compatibility).Reviewed-on: #69

Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
2026-07-13 13:54:03 +02:00

318 lines
11 KiB
C++

// Copyright 2020 Global Phasing Ltd.
//
// Sequence alignment, label_seq_id assignment, structure superposition.
#ifndef GEMMI_ALIGN_HPP_
#define GEMMI_ALIGN_HPP_
#include "model.hpp"
#include "seqalign.hpp" // for align_sequences
#include "qcp.hpp" // for superpose_positions
#include "polyheur.hpp" // for are_connected3
namespace gemmi {
// Sequence alignment and label_seq_id assignment
// helper function for sequence alignment
inline std::vector<int> prepare_target_gapo(const ConstResidueSpan& polymer,
PolymerType polymer_type,
const AlignmentScoring* scoring=nullptr) {
if (!scoring)
scoring = AlignmentScoring::partial_model();
std::vector<int> gaps;
gaps.reserve(polymer.size());
gaps.push_back(0); // free gap opening at the beginning of sequence
if (is_polypeptide(polymer_type) || is_polynucleotide(polymer_type)) {
auto first_conformer = polymer.first_conformer();
auto res = first_conformer.begin();
for (auto next_res = res; ++next_res != first_conformer.end(); res = next_res) {
bool connected = are_connected3(*res, *next_res, polymer_type);
gaps.push_back(connected ? scoring->bad_gapo : scoring->good_gapo);
}
gaps.push_back(0); // free gap after the end of chain
}
return gaps;
}
inline AlignmentResult align_sequence_to_polymer(
const std::vector<std::string>& full_seq,
const ConstResidueSpan& polymer,
PolymerType polymer_type,
const AlignmentScoring* scoring=nullptr) {
if (!polymer)
return AlignmentResult();
std::map<std::string, std::uint8_t> encoding;
if (!scoring)
scoring = AlignmentScoring::partial_model();
for (const std::string& res_name : scoring->matrix_encoding)
encoding.emplace(res_name, (std::uint8_t)encoding.size());
for (const Residue& res : polymer)
encoding.emplace(res.name, (std::uint8_t)encoding.size());
for (const std::string& mon_list : full_seq)
encoding.emplace(Entity::first_mon(mon_list), (std::uint8_t)encoding.size());
if (encoding.size() > 255)
return AlignmentResult();
std::vector<std::uint8_t> encoded_full_seq(full_seq.size());
for (size_t i = 0; i != full_seq.size(); ++i)
encoded_full_seq[i] = encoding.at(Entity::first_mon(full_seq[i]));
std::vector<std::uint8_t> encoded_model_seq;
encoded_model_seq.reserve(polymer.size());
for (const Residue& res : polymer.first_conformer())
encoded_model_seq.push_back(encoding.at(res.name));
return align_sequences(encoded_full_seq, encoded_model_seq,
prepare_target_gapo(polymer, polymer_type, scoring),
(std::uint8_t)encoding.size(), *scoring);
}
// check for exact match between model sequence and full sequence (SEQRES)
inline bool seqid_matches_seqres(const ConstResidueSpan& polymer,
const Entity& ent) {
if (ent.full_sequence.size() != polymer.size())
return false;
int idx = 0;
for (const Residue& res : polymer) {
if (ent.full_sequence[idx] != res.name ||
++idx != *res.seqid.num || res.seqid.has_icode())
return false;
}
return true;
}
inline void clear_sequences(Structure& st) {
for (Entity& ent : st.entities) {
ent.full_sequence.clear();
ent.dbrefs.clear();
ent.sifts_unp_acc.clear();
}
}
GEMMI_DLL
void assign_best_sequences(Structure& st, const std::vector<std::string>& fasta_sequences);
// Uses sequence alignment (model to SEQRES) to assign label_seq.
// force: assign label_seq even if full sequence is not known (assumes no gaps)
inline void assign_label_seq_to_polymer(ResidueSpan& polymer,
const Entity* ent, bool force) {
AlignmentResult result;
// sequence not known
if (!ent || ent->full_sequence.empty()) {
if (!force)
return;
PolymerType ptype = get_or_check_polymer_type(ent, polymer);
const Residue* prev = nullptr;
for (const Residue& res : polymer.first_conformer()) {
if (prev && !are_connected3(*prev, res, ptype))
result.push_cigar(1, 1); // assume a single insertion
result.push_cigar(0, 1);
prev = &res;
}
// exact match - common case that doesn't require alignment
} else if (seqid_matches_seqres(polymer, *ent)) {
result.push_cigar(0, (int)ent->full_sequence.size());
// sequence alignment
} else {
PolymerType ptype = get_or_check_polymer_type(ent, polymer);
result = align_sequence_to_polymer(ent->full_sequence, polymer, ptype);
}
auto res_group = polymer.first_conformer().begin();
int id = 1;
for (AlignmentResult::Item item : result.cigar) {
switch (item.op()) {
case 'I':
id += item.len();
break;
case 'D': // leaving label_seq as it is
for (uint32_t i = 0; i < item.len(); ++i)
res_group++;
break;
case 'M': // not checking for mismatches
for (uint32_t i = 0; i < item.len(); ++i, ++id)
for (Residue* res = &*res_group++; res != &*res_group; ++res)
res->label_seq = id;
break;
}
}
}
inline void clear_label_seq_id(Structure& st) {
for (Model& model : st.models)
for (Chain& chain : model.chains)
for (Residue& res : chain.residues)
res.label_seq = Residue::OptionalNum();
}
inline void assign_label_seq_id(Structure& st, bool force) {
for (Model& model : st.models)
for (Chain& chain : model.chains)
if (ResidueSpan polymer = chain.get_polymer())
if (!polymer.front().label_seq || !polymer.back().label_seq) {
const Entity* ent = st.get_entity_of(polymer);
assign_label_seq_to_polymer(polymer, ent, force);
}
}
// superposition
enum class SupSelect {
CaP, // only Ca (aminoacids) or P (nucleotides) atoms
MainChain, // only main chain atoms
All
};
inline void prepare_positions_for_superposition(std::vector<Position>& pos1,
std::vector<Position>& pos2,
ConstResidueSpan fixed,
ConstResidueSpan movable,
PolymerType ptype,
SupSelect sel,
char altloc='\0',
std::vector<int>* ca_offsets=nullptr) {
AlignmentResult result = align_sequence_to_polymer(fixed.extract_sequence(),
movable, ptype,
AlignmentScoring::blosum62());
auto it1 = fixed.first_conformer().begin();
auto it2 = movable.first_conformer().begin();
std::vector<AtomNameElement> used_atoms;
bool is_na = is_polynucleotide(ptype);
const AtomNameElement* ca_p = nullptr;
if (sel == SupSelect::CaP) {
used_atoms.push_back({is_na ? "P" : "CA", is_na ? El::P : El::C});
} else if (sel == SupSelect::MainChain) {
used_atoms = get_mainchain_atoms(ptype);
ca_p = &used_atoms[is_na ? 0 : 1];
}
for (AlignmentResult::Item item : result.cigar) {
char op = item.op();
for (uint32_t i = 0; i < item.len(); ++i) {
int ca_offset = -1;
if (op == 'M' && it1->name == it2->name) {
if (!used_atoms.empty()) {
for (const AtomNameElement& ane : used_atoms) {
const Atom* a1 = it1->find_atom(ane.atom_name, altloc, ane.el);
const Atom* a2 = it2->find_atom(ane.atom_name, altloc, ane.el);
if (a1 && a2) {
if (&ane == ca_p)
ca_offset = (int)pos1.size();
pos1.push_back(a1->pos);
pos2.push_back(a2->pos);
}
}
} else {
for (const Atom& a1 : it1->atoms)
if (a1.altloc_matches(altloc))
if (const Atom* a2 = it2->find_atom(a1.name, altloc, a1.element)) {
pos1.push_back(a1.pos);
pos2.push_back(a2->pos);
}
}
}
if (op == 'M' || op == 'I') {
++it1;
if (ca_offsets)
ca_offsets->push_back(ca_offset);
}
if (op == 'M' || op == 'D')
++it2;
}
}
}
inline SupResult calculate_current_rmsd(ConstResidueSpan fixed,
ConstResidueSpan movable,
PolymerType ptype,
SupSelect sel,
char altloc='\0') {
std::vector<Position> pos1, pos2;
prepare_positions_for_superposition(pos1, pos2, fixed, movable, ptype, sel, altloc);
SupResult r;
r.count = pos1.size();
double sd = 0;
for (size_t i = 0; i != pos1.size(); ++i)
sd += pos1[i].dist_sq(pos2[i]);
r.rmsd = std::sqrt(sd / r.count);
return r;
}
inline SupResult calculate_superposition(ConstResidueSpan fixed,
ConstResidueSpan movable,
PolymerType ptype,
SupSelect sel,
int trim_cycles=0,
double trim_cutoff=2.0,
char altloc='\0') {
std::vector<Position> pos1, pos2;
prepare_positions_for_superposition(pos1, pos2, fixed, movable, ptype, sel, altloc);
const double* weights = nullptr;
size_t len = pos1.size();
SupResult sr = superpose_positions(pos1.data(), pos2.data(), len, weights);
for (int n = 0; n < trim_cycles; ++n) {
double max_dist_sq = sq(trim_cutoff * sr.rmsd);
size_t p = 0;
for (size_t i = 0; i != len; ++i) {
Vec3 m2 = sr.transform.apply(pos2[i]);
if (m2.dist_sq(pos1[i]) <= max_dist_sq) {
if (i != p) {
pos1[p] = pos1[i];
pos2[p] = pos2[i];
}
++p;
}
}
if (p == len)
break;
len = p;
if (len < 3)
fail("in calculate_superposition(): only ", std::to_string(len),
" atoms after trimming");
sr = superpose_positions(pos1.data(), pos2.data(), len, weights);
}
return sr;
}
// Returns superpositions for all residues in fixed.first_conformer(),
// performed by superposing backbone in radius=10.0 from residue's Ca.
inline std::vector<SupResult> calculate_superpositions_in_moving_window(
ConstResidueSpan fixed,
ConstResidueSpan movable,
PolymerType ptype,
double radius=10.0) {
const double radius_sq = radius * radius;
std::vector<Position> pos1, pos2;
char altloc = '\0';
SupSelect sel = SupSelect::MainChain;
std::vector<int> ca_offsets;
prepare_positions_for_superposition(pos1, pos2, fixed, movable, ptype,
sel, altloc, &ca_offsets);
const double* weights = nullptr;
std::vector<SupResult> result;
for (int offset : ca_offsets) {
if (offset == -1) {
result.push_back(SupResult{NAN, 0, {}, {}, {}});
continue;
}
const Position& ca_pos = pos1[offset];
int a = offset;
while (a > 0 && ca_pos.dist_sq(pos1[a-1]) < radius_sq)
--a;
int b = offset;
while (b+1 < (int)pos1.size() && ca_pos.dist_sq(pos1[b+1]) < radius_sq)
++b;
result.push_back(superpose_positions(&pos1[a], &pos2[a], b-a+1, weights));
}
return result;
}
} // namespace gemmi
#endif