A toolset for the solid-state NMR-based 3D structure calculation of proteins

被引:0
作者
Rahimi, Mehdi [1 ]
Lee, Yeongjoon [1 ]
Nguyen, Huong [2 ,3 ]
Chiu, Abigail [1 ]
Lee, Woonghee [1 ]
机构
[1] Univ Colorado Denver, Dept Chem, Denver, CO 80204 USA
[2] Univ Wisconsin Madison, Comp Sci Dept, Madison, WI 53706 USA
[3] Univ Wisconsin Madison, URS Program, Madison, WI 53706 USA
基金
美国国家科学基金会;
关键词
Solid-state NMR; Structure calculation; POKY; SPARKY; Automation; PONDEROSA-C; S; AUDASA; XPLOR-NIH; SOFTWARE;
D O I
10.1016/j.jmr.2022.107214
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Proteins are the building blocks of life. The shape of the protein determines its functionality. This understanding of the 3D structure of proteins has applications in study of diseases, medicine, body functions, and other aspects of life. Nuclear magnetic resonance (NMR) has been a powerful tool for researchers to get insight into the metabolome of cells, tissues, biofluids, secretions, and overall etiology of the disease state. Solid-state NMR (ssNMR) spectroscopy is used for samples that have low solubility in common NMR solvents. The use of ssNMR for 3D structure determination of proteins has been on the rise in the recent years especially for such samples. Still, one of the challenges that researchers face in this area is a shortage of easy and user-friendly computational aids. To address this, we are introducing our comprehensive software solution by automating every step of the process and essentially transforming the task into a few clicks of the mouse. The workflow for 3D structure determination has been simplified down to only a few procedures. Starting with selection of an ssNMR spectrum, user can receive its 3D structure along with an abundance of statistical information and validation tools using our software. We have tested this toolset to test the usefulness and user-friendliness with different data sets available on biological magnetic resonance bank (BMRB).(c) 2022 Elsevier Inc. All rights reserved.
引用
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页数:6
相关论文
共 22 条
[1]  
Alberts B., 2002, Molecular Biology of the Cell, V4th
[2]   The worldwide Protein Data Bank (wwPDB): ensuring a single, uniform archive of PDB data [J].
Berman, Helen ;
Henrick, Kim ;
Nakamura, Haruki ;
Markley, John L. .
NUCLEIC ACIDS RESEARCH, 2007, 35 :D301-D303
[3]   Knowledge-based protein secondary structure assignment [J].
Frishman, D ;
Argos, P .
PROTEINS-STRUCTURE FUNCTION AND GENETICS, 1995, 23 (04) :566-579
[4]  
Guntert Peter, 2004, Methods Mol Biol, V278, P353
[5]   Solid state 13C NMR analysis of human gallstones from cancer and benign gall bladder diseases [J].
Jayalakshmi, K. ;
Sonkar, Kanchan ;
Behari, Anu ;
Kapoor, V. K. ;
Sinha, Neeraj .
SOLID STATE NUCLEAR MAGNETIC RESONANCE, 2009, 36 (01) :60-65
[6]   POKY: a software suite for multidimensional NMR and 3D structure calculation of biomolecules [J].
Lee, Woonghee ;
Rahimi, Mehdi ;
Lee, Yeongjoon ;
Chiu, Abigail .
BIOINFORMATICS, 2021, 37 (18) :3041-3042
[7]   The AUDANA algorithm for automated protein 3D structure determination from NMR NOE data [J].
Lee, Woonghee ;
Petit, Chad M. ;
Cornilescu, Gabriel ;
Stark, Jaime L. ;
Markley, John L. .
JOURNAL OF BIOMOLECULAR NMR, 2016, 65 (02) :51-57
[8]   Integrative NMR for biomolecular research [J].
Lee, Woonghee ;
Cornilescu, Gabriel ;
Dashti, Hesam ;
Eghbalnia, Hamid R. ;
Tonelli, Marco ;
Westler, William M. ;
Butcher, Samuel E. ;
Henzler-Wildman, Katherine A. ;
Markley, John L. .
JOURNAL OF BIOMOLECULAR NMR, 2016, 64 (04) :307-332
[9]   NMRFAM-SPARKY: enhanced software for biomolecular NMR spectroscopy [J].
Lee, Woonghee ;
Tonelli, Marco ;
Markley, John L. .
BIOINFORMATICS, 2015, 31 (08) :1325-1327
[10]   PONDEROSA-C/S: client-server based software package for automated protein 3D structure determination [J].
Lee, Woonghee ;
Stark, Jaime L. ;
Markley, John L. .
JOURNAL OF BIOMOLECULAR NMR, 2014, 60 (2-3) :73-75