WebFeb 8, 2024 · CR-I-TASSER: collect protein buildings from cryo-EM density maps the use of deep convolutional neural networks by Cerebro February 8, 2024 in Quantitative 0 CR-I … WebFeb 1, 2024 · Detailed data analyses showed that the main advantage of CR-I-TASSER lies in the deep learning-based Cα position prediction, which significantly improves the …

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WebOct 1, 2024 · Ribosome recycling is the final step of the cyclic process of translation, where the post-termination complex (PoTC) is disassembled by the concerted action of ribosome recycling factor (RRF) and elongation factor G (EF-G) in the sub-second time range. WebCR-I-TASSER: assemble protein structures from cryo-EM density maps using deep convolutional neural networks Xi Zhang et al., 2024, Nature Methods See more References Frank J (2024) Advances in the field of single-particle cryo-electron microscopy over the last decade. Nat Protoc 12:209 toyota civilian bus

Protein Structure Prediction Using CryoEM Density Maps

WebCR-I-TASSER integrates deep neural-network learning with I-TASSER assembly simulations for automated cryo-EM structure determination. Yang Zhang Attention! At Life Science Network we import abstract of articles published in the most popular journals. In addition, members of our network often upload full article pdfsof their research. WebCryo-electron microscopy (cryo-EM) has become a leading approach for protein structure determination, but it remains challenging to accurately model atomic structures with cryo-EM density maps. WebFeb 1, 2024 · CR-I-TASSER: assemble protein structures from cryo-EM density maps using deep convolutional neural networks. Authors: Zhang, Xi; Zhang, Biao; Freddolino, Peter L.; Zhang, Yang Award ID(s): 2025426 Publication Date: 2024-02-01 NSF-PAR ID: 10382121 Journal Name: Nature Methods Volume: 19 Issue: 2 Page Range or eLocation-ID: toyota ck