- B similarity: E = (B_i - B_j)^2 / (kappa^2 B_i B_j), the symmetric Kullback-Leibler divergence of two isotropic Gaussians (Murshudov et al. 2011), so sigma = kappa sqrt(B_i B_j) instead of a fixed 1.5-4.5 A^2. kappa 0.1 / 0.133 / 0.2 / 0.3 for main-chain bonded / angle-related and side-chain pairs (REFMAC's logs list sigma ~0.1 B for main-chain bonded pairs at B 11-140; the ratios are those of the old sigmas, which these equal at B = 15). New class: atoms within 4 A that no bond or angle relates, waters and symmetry mates included, kappa 0.5 (BuildBContacts, sharing the neighbour search with BuildRepulsions). CPU and GPU. - The B factors' X-ray weight is balanced on its own (BalancedADPWeight: B-restraint over X-ray B-gradient on the model with B shaken by 20%) instead of being a multiple of the positional weight; the ladder tries B held and refined at that weight, the trajectory's B steps divide and multiply it by four, positional steps and the final ladder leave it. - Before each B-refining macro-cycle the overall isotropic B of the scale moves into the atoms and the solvent's B (F_model unchanged), so the two do not drift against each other. Tried and not kept: xyz and B as one L-BFGS vector (the B block scaled by its curvature, the positions by the median X-ray curvature): no better than alternation with a memory per block on 12 starts (mean R-free 0.265 vs 0.262), worse on 7arr/7d98; a refit before each B step: no gain for +20-40% time. Refinement battery MD starts, median R-free by the REFMAC 0-cycle scorer, previous commit -> this (REFMAC to convergence): 5f6m x8 0.167 -> 0.167 (0.168), 8dqb x8 0.291 -> 0.294 (0.284), 7arr x4 0.270 -> 0.278 (0.311), 11if x4 0.245 -> 0.244 (0.251), 5reo x4 0.312 -> 0.258 (0.261: the ladder no longer keeps B held where B is the model's largest error), 7d98 x4 0.342 -> 0.335 (0.361). Deposited models: unchanged (B stays held there). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015CeEGgpKdfkCTJb3YNMJcu (cherry picked from commit ed292f35b482b696d81f71f1d97e0016ca05b144)
161 lines
8.5 KiB
C++
161 lines
8.5 KiB
C++
// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
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// SPDX-License-Identifier: GPL-3.0-only
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#pragma once
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#include <array>
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#include <atomic>
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#include <cmath>
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#include <complex>
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#include <memory>
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#include <string>
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#include <vector>
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#include "gemmi/grid.hpp"
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#include "gemmi/model.hpp"
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#include "gemmi/symmetry.hpp"
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#include "gemmi/unitcell.hpp"
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#include "../../common/Reflection.h" // MergedReflection
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#include "DensityBlobs.h"
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#include "ModelValidation.h" // ModelMaps
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#include "RefinementRestraints.h" // GeometryStatistics
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class Logger;
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// Refinement of an atomic model already placed against the data (ValidateAgainstModel's placed model, or a
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// molecular-replacement placement), in two stages:
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//
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// 1. Placement: each chain as a rigid body, then one B shift per residue, each kept only where it lowers
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// R-free. Needs no dictionary.
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// 2. Restrained: every atom's position and isotropic B, against the maximum-likelihood amplitude target with
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// the geometry the dictionary describes (MonomerLibrary.h: bonds, angles, planes, chiral volumes,
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// torsions, repulsions; B similarity of bonded atoms and of atoms in contact, in proportion to B). Residues
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// it does not describe are held fixed and stay in the structure factors and the bulk-solvent mask. The
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// weights of the X-ray term against the geometry and against the B similarity, and whether to refine the B
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// factors, are chosen by R-free among trials whose geometry stays within bounds: a ladder from the placed
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// model, then a trajectory of steps that each try the weights as they are and changed, from where the last
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// step ended, until no step gains; then a short final ladder.
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//
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// The library reads and writes nothing: the model and the reflections come in, the refined model, the
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// statistics and the map coefficients go out. Nothing it finds feeds back into processing decisions.
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struct RefinementSettings {
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bool restrained = true; // stage 2; false stops after the placement stage
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bool score_only = false; // only score the model as given (RefinementResult::score_start), no stage
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bool group_b = true; // the placement stage's B shift per residue
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int macro_cycles = 2; // per weight trial, from the model the trial starts from
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int xyz_iterations = 30; // L-BFGS iterations per macro-cycle
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int b_iterations = 20;
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// The first trials, from the placed model: the positions' X-ray weight, times the gradient-balanced one
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// (BalancedWeight), each with the B factors' X-ray weight their own balanced one times each of adp_ladder (0: B
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// held).
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std::vector<double> weight_ladder = {1.0 / 1024, 1.0 / 128, 1.0 / 16};
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std::vector<double> adp_ladder = {0.0, 1.0};
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// Then at most this many steps of the trajectory, each a set of trials from where the last one ended,
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int max_steps = 8;
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// and the final trials from where it ended, at its weights times each of these;
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std::vector<double> final_ladder = {0.5, 1.0, 2.0};
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double max_weight = 1.0 / 8; // the positions' X-ray weight at most, times the balanced one
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bool riding_hydrogens = true; // the dictionary's hydrogens added, riding on their parents
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bool gpu = true;
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size_t nthreads = 1;
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size_t gpu_resident_bytes = 0; // held on the card by what runs beside
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// The most weight trials run side by side, 0 for as many as the ladders and the cards take; the result does not
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// depend on it (1 runs them one after another, as a check of that).
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size_t max_trials_at_once = 0;
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// Set by the caller (from any thread) to cut a running refinement short: checked between the minimiser's
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// iterations and before every weight trial. The trials that ran are chosen among as usual, those that did not
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// are left out (RefinementResult::cancelled); cut before the first trial, the model is the placement's.
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const std::atomic<bool> *cancel = nullptr;
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};
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// R by resolution: one of RefinementScore's shells, equal in width in 1/d^2 between the coarsest and the
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// finest reflection.
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struct RefinementShell {
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double d_max = 0, d_min = 0;
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int n_work = 0, n_free = 0;
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double r_work = NAN, r_free = NAN;
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};
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// What scoring a model against the data gives, every term of it: the model's structure factors are
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// F_model = k_overall exp(-s^T B s / 4) (Fcalc + k_sol exp(-b_sol s^2 / 4) Fmask), the scale and the solvent
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// fitted to the working reflections; R-work and R-free; and the likelihood target, -ln L summed over the
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// working and over the free reflections, at D and the variance estimated from the free set.
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struct RefinementScore {
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double k_overall = 0;
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double b_iso = 0; // the overall B: a third of the trace of B (Cartesian, A^2)
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std::array<double, 6> b_aniso{}; // B less b_iso: B11 B22 B33 B12 B13 B23 (Cartesian, A^2)
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double k_sol = 0, b_sol = 0;
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double mask_spacing = 0; // A, the grid the solvent mask is drawn on
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double r_work = NAN, r_free = NAN;
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int n_work = 0, n_free = 0;
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double nll_work = NAN, nll_free = NAN;
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double fom = NAN; // the likelihood's mean figure of merit, working reflections
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int hydrogens = 0; // riding hydrogens in the model scored
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std::vector<RefinementShell> shells;
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// Per reflection, with settings.score_only only: the atoms' Fcalc, the solvent's k_sol exp(-b_sol s^2/4) Fmask
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// and k_overall exp(-s^T B s / 4), in the order of `hkl`, and the likelihood's parameters.
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std::vector<gemmi::Miller> hkl;
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std::vector<std::complex<float>> fcalc, fmask;
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std::vector<float> k_total;
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std::vector<float> d, var; // the likelihood's D and variance (epsilon beta + sigma^2)
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};
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// One rung of the weight ladder.
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struct RefinementWeightTrial {
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double weight = 0; // the X-ray term's weight
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double adp_weight = 0; // the B refinement's X-ray weight; 0: the B factors were held
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double r_work = 1, r_free = 1;
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GeometryStatistics geometry;
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bool within_bounds = false; // the geometry bounds the choice is made inside
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};
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struct RefinementResult {
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bool ok = false;
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std::string failure_reason;
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bool on_gpu = false;
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double seconds = 0;
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double d_min = 0;
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int n_work = 0, n_free = 0;
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// The model as given, scaled to these reflections (B made isotropic; the dictionary's hydrogens riding
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// where the restrained stage runs or the model is only scored), and every term of that score.
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double r_work_start = 1, r_free_start = 1;
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RefinementScore score_start;
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// After the placement stage.
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int rigid_bodies = 0; // the chains moved as rigid bodies, where that was kept
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bool group_b = false; // the B shift per residue was kept
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double r_work_placement = 1, r_free_placement = 1;
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// After the restrained stage (NaN where it did not run).
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bool restrained = false;
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bool cancelled = false; // cut short by RefinementSettings::cancel
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double r_work = NAN, r_free = NAN;
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double weight = 0;
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double adp_weight = 0; // 0: the B factors kept as placed
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std::vector<RefinementWeightTrial> trials;
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GeometryStatistics geometry_start, geometry;
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int atoms = 0, refined_atoms = 0;
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int restrained_residues = 0, fixed_residues = 0;
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std::vector<std::string> fixed_names;
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double k_sol = 0, b_sol = 0;
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double mean_fom = 0;
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std::shared_ptr<gemmi::Structure> model; // the refined model, in the data's cell and frame
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std::shared_ptr<ModelMaps> maps; // its 2mFo-DFc and mFo-DFc coefficients (as _maps.mtz holds them)
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// The mFo-DFc map of the refined model and its rms, for finding what it leaves unexplained (DensityBlobs.h).
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std::shared_ptr<gemmi::Grid<float>> difference_map;
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double difference_map_rms = 0;
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// The anomalous difference map on the refined model's phases, where the merge kept the Bijvoet pairs.
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std::shared_ptr<gemmi::Grid<float>> anomalous_map;
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double anomalous_map_rms = 0;
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// What the refined model leaves unexplained in the difference map (FindDensityBlobs).
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std::vector<DensityBlob> blobs;
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};
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// `placed`: the model in the data's cell and space group. `merged`: the merge, with French-Wilson amplitudes
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// and free flags, in the same group.
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RefinementResult RefineModel(const gemmi::Structure &placed, const std::vector<MergedReflection> &merged,
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const gemmi::UnitCell &cell, const gemmi::SpaceGroup &sg, double wavelength_A,
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Logger &logger, const RefinementSettings &settings);
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