EVANGELIDIS, Thomas, S. NERLI, Jiří NOVÁČEK, A.E. BRERETON, P.A. KARPLUS, R.R. DOTAS, V. VENDITTI, N.G. SGOURAKIS and Konstantinos TRIPSIANES. Automated NMR resonance assignments and structure determination using a minimal set of 4D spectra. Nature Communications. London: Nature Publishing Group, 2018, vol. 9, JAN, p. 384-396. ISSN 2041-1723. Available from: https://dx.doi.org/10.1038/s41467-017-02592-z.
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Basic information
Original name Automated NMR resonance assignments and structure determination using a minimal set of 4D spectra
Authors EVANGELIDIS, Thomas (300 Greece, belonging to the institution), S. NERLI (840 United States of America), Jiří NOVÁČEK (203 Czech Republic, belonging to the institution), A.E. BRERETON (840 United States of America), P.A. KARPLUS (840 United States of America), R.R. DOTAS (840 United States of America), V. VENDITTI (840 United States of America), N.G. SGOURAKIS (840 United States of America) and Konstantinos TRIPSIANES (300 Greece, guarantor, belonging to the institution).
Edition Nature Communications, London, Nature Publishing Group, 2018, 2041-1723.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10402 Inorganic and nuclear chemistry
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 11.878
RIV identification code RIV/00216224:14740/18:00101162
Organization unit Central European Institute of Technology
Doi http://dx.doi.org/10.1038/s41467-017-02592-z
UT WoS 000423430900004
Keywords in English PROTEIN-STRUCTURE DETERMINATION; CHEMICAL-SHIFTS; DIPOLAR COUPLINGS; NOESY ASSIGNMENT; LARGER PROTEINS; SPECTROSCOPY; ROSETTA; ROBUST; ALGORITHM; HOMOLOGY
Tags CF NMR, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Pavla Foltynová, Ph.D., učo 106624. Changed: 10/5/2019 15:11.
Abstract
Automated methods for NMR structure determination of proteins are continuously becoming more robust. However, current methods addressing larger, more complex targets rely on analyzing 6-10 complementary spectra, suggesting the need for alternative approaches. Here, we describe 4D-CHAINS/autoNOE-Rosetta, a complete pipeline for NOE-driven structure determination of medium-to larger-sized proteins. The 4D-CHAINS algorithm analyzes two 4D spectra recorded using a single, fully protonated protein sample in an iterative ansatz where common NOEs between different spin systems supplement conventional through-bond connectivities to establish assignments of sidechain and backbone resonances at high levels of completeness and with a minimum error rate. The 4D-CHAINS assignments are then used to guide automated assignment of long-range NOEs and structure refinement in autoNOE-Rosetta. Our results on four targets ranging in size from 15.5 to 27.3 kDa illustrate that the structures of proteins can be determined accurately and in an unsupervised manner in a matter of days.
Links
GJ15-22380Y, research and development projectName: Molekulární stavba protein-DNA komplexů zapojených v opravě nukleotidových sestřihů
Investor: Czech Science Foundation
LM2015043, research and development projectName: Česká infrastruktura pro integrativní strukturní biologii (Acronym: CIISB)
Investor: Ministry of Education, Youth and Sports of the CR
LQ1601, research and development projectName: CEITEC 2020 (Acronym: CEITEC2020)
Investor: Ministry of Education, Youth and Sports of the CR
MUNI/E/0086/2017, interní kód MUName: From protein sequence to NMR structure in a matter of days using CHAINS/Rosetta
Investor: Masaryk University, Promoting quality excellence
618223, interní kód MUName: Structural studies of Nucleotide Excision Repair for drug development targeting protein-DNA interactions (Acronym: NER)
Investor: European Union, People
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