# Copyright 2025 ByteDance and/or its affiliates. # # 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. import os from pxdbench.metrics import Kalign, tmalign def self_consistency(inputs: dict): """ Calculate self-consistency metrics (scTM and scRMSD) for a set of input files. Args: inputs (dict): A dictionary where keys are names and values are dictionaries containing "source_file" and "target_file" keys. Returns: dict: A dictionary containing the calculated scTM and scRMSD metrics for each input. """ outputs = {} for name, item in inputs.items(): source_file = item["source_file"] target_file = item["target_file"] TMscore, rmsd = None, None if not os.path.exists(target_file): print(f"{target_file} does not exist!") outputs[name] = {"scTM": None, "scRMSD": None} continue # Run TMalign TMscore = tmalign.get_tm_score(source_file, target_file) # Run Kalign.py try: rmsd = Kalign.align_and_calculate_rmsd(source_file, target_file) rmsd = round(rmsd, 3) except Exception as e: print(f"Error running Kalign for {source_file} and {target_file}: {e}") rmsd = None outputs[name] = {"scTM": TMscore, "scRMSD": rmsd} return outputs