MediaWiki API result
This is the HTML representation of the JSON format. HTML is good for debugging, but is unsuitable for application use.
Specify the format parameter to change the output format. To see the non-HTML representation of the JSON format, set format=json.
See the complete documentation, or the API help for more information.
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{
"logid": 3589,
"ns": 0,
"title": "2025Su CryoAtom",
"pageid": 3088,
"logpage": 3088,
"revid": 5113,
"params": {},
"type": "create",
"action": "create",
"user": "WikiSysop",
"timestamp": "2025-11-21T11:14:35Z",
"comment": "Created page with \"== Citation == Su, B., Huang, K., Peng, Z., Amunts, A. and Yang, J. 2025. CryoAtom improves model building for cryo-EM. Nature Structural & Molecular Biology. (2025), 1\u201311. == Abstract == Constructing atomic models from cryogenic electron microscopy (cryo-EM) density maps is essential for interpreting molecular mechanisms. Here we present CryoAtom, an approach for de novo model building for cryo-EM maps, leveraging recent advancements in AlphaFold2 to improve the st...\""
},
{
"logid": 3588,
"ns": 0,
"title": "2025Fu T2Relion",
"pageid": 3087,
"logpage": 3087,
"revid": 5111,
"params": {},
"type": "create",
"action": "create",
"user": "WikiSysop",
"timestamp": "2025-11-21T11:07:57Z",
"comment": "Created page with \"== Citation == Fu, J., Xu, J., Gan, L., Mao, T., Shen, Z., Wang, Y., Song, Z., Duan, X., Xue, W. and Yang, G. 2025. T2-RELION: Task Parallelism, Tensor Core Accelerated RELION for Cryo-EM 3D Reconstruction. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (2025), 2186\u20132202. == Abstract == Cryo-electron microscopy (cryo-EM) is a key technique for structural biology, but its computational efficiency, particul...\""
},
{
"logid": 3587,
"ns": 0,
"title": "2024Shekarforoush CryoSPIN",
"pageid": 3086,
"logpage": 3086,
"revid": 5109,
"params": {},
"type": "create",
"action": "create",
"user": "WikiSysop",
"timestamp": "2025-11-14T17:24:14Z",
"comment": "Created page with \"== Citation == Shekarforoush, S., Lindell, D.B., Brubaker, M.A. and Fleet, D.J. 2024. Cryospin: improving ab-initio cryo-EM reconstruction with semi-amortized pose inference. Advances in Neural Information Processing Systems. 37, (2024), 55785\u201355809. == Abstract == Cryo-EM is an increasingly popular method for determining the atomic resolution 3D structure of macromolecular complexes (eg, proteins) from noisy 2D images captured by an electron microscope. The computa...\""
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{
"logid": 3586,
"ns": 0,
"title": "2024Wang CommonLines",
"pageid": 3085,
"logpage": 3085,
"revid": 5107,
"params": {},
"type": "create",
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"user": "WikiSysop",
"timestamp": "2025-11-14T17:03:09Z",
"comment": "Created page with \"== Citation == Wang, X., Jin, Q., Zou, L., Lin, X. and Lu, Y. 2024. Orientation Determination of Cryo-EM Projection Images Using Reliable Common Lines and Spherical Embeddings. IEEE/ACM Transactions on Computational Biology and Bioinformatics. (2024). == Abstract == Three-dimensional (3D) reconstruction in singleparticle cryo-electronmicroscopy (cryo-EM) is a critical technique for recovering and studying the fine 3D structure of proteins and other biological macromol...\""
},
{
"logid": 3585,
"ns": 0,
"title": "2025Chen GMM",
"pageid": 3084,
"logpage": 3084,
"revid": 5105,
"params": {},
"type": "create",
"action": "create",
"user": "WikiSysop",
"timestamp": "2025-11-13T09:21:53Z",
"comment": "Created page with \"== Citation == Chen, M. 2025. Building molecular model series from heterogeneous CryoEM structures using Gaussian mixture models and deep neural networks. Communications Biology. 8, 1 (2025), 798. == Abstract == Cryogenic electron microscopy (CryoEM) produces structures of macromolecules at near-atomic resolution. However, building molecular models with good stereochemical geometry from those structures can be challenging and time-consuming, especially when many struc...\""
},
{
"logid": 3584,
"ns": 0,
"title": "2025Selvaraj CryoTEN",
"pageid": 3083,
"logpage": 3083,
"revid": 5103,
"params": {},
"type": "create",
"action": "create",
"user": "WikiSysop",
"timestamp": "2025-11-13T09:07:29Z",
"comment": "Created page with \"== Citation == Selvaraj, J., Wang, L. and Cheng, J. 2025. CryoTEN: efficiently enhancing cryo-EM density maps using transformers. Bioinformatics. 41, 3 (2025), btaf092. == Abstract == Motivation: Cryogenic Electron Microscopy (cryo-EM) is a core experimental technique used to determine the structure of macromolecules such as proteins. However, the effectiveness of cryo-EM is often hindered by the noise and missing density values in cryo-EM density maps caused by exper...\""
},
{
"logid": 3583,
"ns": 0,
"title": "2025Bromberg Hand",
"pageid": 3082,
"logpage": 3082,
"revid": 5101,
"params": {},
"type": "create",
"action": "create",
"user": "WikiSysop",
"timestamp": "2025-11-13T08:37:13Z",
"comment": "Created page with \"== Citation == Bromberg, R., Guo, Y., Borek, D. and Otwinowski, Z. 2025. Validation of 3D cryoEM single-particle reconstruction correctness and handedness with Ewald\u2019s sphere correction. Structural Dynamics. 12, 5 (2025). == Abstract == The correct description of quantum scattering places the observed scattering contributions on the Ewald's sphere and its Friedel mate copy. In electron microscopy, due to the large radius of the Ewald's sphere, these scattering contr...\""
},
{
"logid": 3582,
"ns": 0,
"title": "2025Dhakal Benchmark",
"pageid": 3081,
"logpage": 3081,
"revid": 5099,
"params": {},
"type": "create",
"action": "create",
"user": "WikiSysop",
"timestamp": "2025-11-12T17:32:12Z",
"comment": "Created page with \"== Citation == Dhakal, A., Gyawali, R., Wang, L. and Cheng, J. 2025. Artificial intelligence in cryo-EM protein particle picking: recent advances and remaining challenges. Briefings in Bioinformatics. 26, 1 (2025), bbaf011. == Abstract == Cryo-electron microscopy (cryo-EM) has revolutionized structural biology by enabling the determination of high-resolution 3-Dimensional (3D) structures of large biological macromolecules. Protein particle picking, the process of iden...\""
},
{
"logid": 3581,
"ns": 0,
"title": "2025Urzhumtsev RescaleFSC",
"pageid": 3080,
"logpage": 3080,
"revid": 5097,
"params": {},
"type": "create",
"action": "create",
"user": "WikiSysop",
"timestamp": "2025-11-12T16:53:33Z",
"comment": "Created page with \"== Citation == Urzhumtsev, A.G. 2025. Rescaling FSC curves. Acta Crystallographica Sec. D. 81, 11 (2025). == Abstract == Similarity between two periodic functions is commonly assessed by comparing their Fourier coefficients within resolution shells. In particular, this approach is widely used in both crystallography and cryo-electron microscopy (cryoEM). The definition of these shells, that is the choice of resolution scale for their boundaries, can be guided by the s...\""
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{
"logid": 3580,
"ns": 0,
"title": "2025Morales Membranes",
"pageid": 3079,
"logpage": 3079,
"revid": 5095,
"params": {},
"type": "create",
"action": "create",
"user": "WikiSysop",
"timestamp": "2025-11-12T16:33:41Z",
"comment": "Created page with \"== Citation == Morales-Mart\u0131\u0301nez, A., Gardu\u00f1o, E., Carazo, J.M., Sorzano, C.O.S. and Vilas, J.L. 2025. Membrane and vesicle structure detection in cryo-electron tomography based on deep learning. J. Structural Biology. (2025), 108258. == Abstract == Cryo-electron tomography (cryo-ET) is a microscopy technique that enables the acquisition of 3D images of biological samples. Research in cell biology has shown that cellular processes are carried out by groups of macro...\""
}
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