Scaled Alternating Steepest Descent Algorithm Applied for Protein Structure Determination from Nuclear Magnetic Resonance Data-Reference-Cited by-同舟云学术

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Scaled Alternating Steepest Descent Algorithm Applied for Protein Structure Determination from Nuclear Magnetic Resonance Data

Published:2019-09-01 Issue:9 Volume:26 Page:1020-1029
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Li Zhicheng¹,Li Shijian¹,Wei Xian¹,Zhao Qing¹

Affiliation:

1. Center for Quantum Technology Research, School of Physics, Beijing Institute of Technology, Beijing, China.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2019.0013

Reference45 articles.

1. Determining Protein Structures from NOESY Distance Constraints by Semidefinite Programming

2. Singular value decomposition for genome-wide expression data processing and modeling

3. The Protein Data Bank

4. A Distributed SDP Approach for Large-Scale Noisy Anchor-Free Graph Realization with Applications to Molecular Conformation

5. Combined use of proton-proton overhauser enhancements and a distance geometry algorithm for determination of polypeptide conformations. Application to micelle-bound glucagon

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4. Ultralow-threshold green fluorescent protein laser based on high Q microbubble resonators;Optics Express;2022-06-13

5. A Comparative Evaluation of Several MatrixCompletion Algorithms for Protein Structure Determination;PROG BIOCHEM BIOPHYS;2022

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