Published November 13, 2025
| Version v2
Dataset
Open
Dataset for article "AFM-Fold: Rapid Reconstruction of Protein Conformations from AFM Images"
Description
This repository contains data used in a paper "AFM-Fold: Rapid Reconstruction of Protein Conformations from AFM Images" by Kawai et al.
- [flhac_conformations/]: Structural ensembles of the C-terminal domain of FlhA (FlhA_C) generated by different models.
- [alphaflow/]
- [aflow_md_3a5i_1.dcd, aflow_md_3a5i_1.pdb]: Structural ensemble of FlhA_C generated by AlphaFlow MD.
- [aflow_pdb_3a5i_1.dcd, aflow_pdb_3a5i_1.pdb]: Structural ensemble of FlhA_C generated by AlphaFlow PDB.
- [bioemu/]
- [bioemu_3a5i_1.dcd, bioemu_3a5i_1.pdb]: Structural ensemble of FlhA_C generated by BioEmu.
- [msa_subsampling/]
- [msa_subsampling_3a5i.dcd, msa_subsampling_3a5i.pdb]: Structural ensemble of FlhA_C generated by MSA subsampling ( using ColabFold ).
- [alphaflow/]
- [guidance_scheduling/]: Results of structure generation under different guidance strength parameters (t_start and y_max).
- [ak/*-*-*/results_*_*.npz]: Structure generation results of Adenylate Kinase (AK) with varied guidance strength hyperparameters. The three numbers in each directory name correspond to the inter-domain distances (ATPbd–Core, Core–AMPbd, AMPbd–ATPbd, in Å).
- [flhac/*-*/results_*_*.npz]: Structure generation results of FlhA_C with varied guidance strength hyperparameters. The two numbers in each directory name correspond to the inter-domain distances (A_CD_2–A_CD_3, A_CD_4–A_CD_1, in Å).
- [noise_robustness/]
- [*-*.npz]: Results obtained by varying the noise standard deviation of the training AFM images and the “experimental” images used for structure estimation.
- [real_afm/]
- [frame_*.npz]: Estimated 3D structures of FlhA_C from time-series real AFM images.
- [real_afm_histogram.npy]: Histogram of the real AFM image intensity distribution.
- [1ake.pdb]: Chain A of PDB ID: 1AKE.
- [4ake.pdb]: Chain A of PDB ID: 4AKE.
- [3a5i.pdb]: Chain A of PDB ID: 3A5I.
- [ak_train.dcd, ak_train.pdb]: Candidate conformations of Adenylate Kinase used for model training.
- [ak_train.npz]: Evaluation results for the candidate conformations of Adenylate Kinase.
- [flhac_train.dcd, flhac_train.pdb]: Candidate conformations of FlhA_C used for model training.
- [flhac_train.npz]: Evaluation results for the candidate conformations of FlhA_C.
- [ak.pt]: CNN parameters for Adenylate Kinase structural estimation.
- [flhac.pt]: CNN parameters for FlhA_C structural estimation.
- [ak_summary.npz]: Summary of structural estimation results for Adenylate Kinase, trained on noise-free pseudo-AFM images.
- [ak_summary_noisy.npz]: Summary of structural estimation results for Adenylate Kinase, trained on pseudo-AFM images with noise std. dev. = 0.3 nm.
- [ak.dcd, ak.pdb]: Conformations randomly sampled from a 450 ns MD trajectory for validation.
Files
results.zip
Files
(190.7 MB)
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