no code implementations • 30 Oct 2024 • Xin, MA, Dong Si
Constructing atomic models from cryo-electron microscopy (cryo-EM) maps is a crucial yet intricate task in structural biology.
no code implementations • 23 Dec 2021 • Ruiwen Xing, Thomas Humphries, Dong Si
Conventional reconstruction algorithms can be used if the X-ray data are adequately sampled and of high quality; however, concerns such as reducing dose to the patient, or geometric limitations on data acquisition, may result in low quality or incomplete data.
no code implementations • 3 Apr 2021 • Nathan Ranno, Dong Si
Our graph-based interpretations of 115 experimental cryo-EM maps from 1. 15 to 4. 0 Angstrom resolution provide high coverage of the underlying amino acid residue locations, while accuracy of nodes is correlated with resolution.
no code implementations • 11 Feb 2021 • Dong Si, Andrew Nakamura, Runbang Tang, Haowen Guan, Jie Hou, Ammaar Firozi, Renzhi Cao, Kyle Hippe, Minglei Zhao
Cryo-electron microscopy (cryo-EM) has become a major experimental technique to determine the structures of large protein complexes and molecular assemblies, as evidenced by the 2017 Nobel Prize.
no code implementations • 23 Jan 2021 • Navjodh Singh Dhillon, Agustinus Sutandi, Manoj Vishwanath, Miranda M. Lim, Hung Cao, Dong Si
The increasing affordability and reduction in size of relatively high-performance computing systems combined with promising results from TBI related machine learning research make it possible to create compact and portable systems for early detection of TBI.