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==NMR ENSEMBLE OF METHANOBACTERIUM THERMOAUTOTROPHICUM PROTEIN 1615== | |||
<StructureSection load='1eij' size='340' side='right'caption='[[1eij]]' scene=''> | |||
== Structural highlights == | |||
<table><tr><td colspan='2'>[[1eij]] is a 1 chain structure with sequence from [https://en.wikipedia.org/wiki/Methanothermobacter_thermautotrophicus Methanothermobacter thermautotrophicus]. Full experimental information is available from [http://oca.weizmann.ac.il/oca-bin/ocashort?id=1EIJ OCA]. For a <b>guided tour on the structure components</b> use [https://proteopedia.org/fgij/fg.htm?mol=1EIJ FirstGlance]. <br> | |||
</td></tr><tr id='method'><td class="sblockLbl"><b>[[Empirical_models|Method:]]</b></td><td class="sblockDat" id="methodDat">Solution NMR</td></tr> | |||
<tr id='resources'><td class="sblockLbl"><b>Resources:</b></td><td class="sblockDat"><span class='plainlinks'>[https://proteopedia.org/fgij/fg.htm?mol=1eij FirstGlance], [http://oca.weizmann.ac.il/oca-bin/ocaids?id=1eij OCA], [https://pdbe.org/1eij PDBe], [https://www.rcsb.org/pdb/explore.do?structureId=1eij RCSB], [https://www.ebi.ac.uk/pdbsum/1eij PDBsum], [https://prosat.h-its.org/prosat/prosatexe?pdbcode=1eij ProSAT], [https://www.topsan.org/Proteins/NESGC/1eij TOPSAN]</span></td></tr> | |||
</table> | |||
| | == Function == | ||
[https://www.uniprot.org/uniprot/DNBP_METTH DNBP_METTH] DNA-binding protein which can interact with a randomly chosen 20-mer of double-stranded DNA. | |||
== Evolutionary Conservation == | |||
[[Image:Consurf_key_small.gif|200px|right]] | |||
Check<jmol> | |||
<jmolCheckbox> | |||
<scriptWhenChecked>; select protein; define ~consurf_to_do selected; consurf_initial_scene = true; script "/wiki/ConSurf/ei/1eij_consurf.spt"</scriptWhenChecked> | |||
== | <scriptWhenUnchecked>script /wiki/extensions/Proteopedia/spt/initialview01.spt</scriptWhenUnchecked> | ||
<text>to colour the structure by Evolutionary Conservation</text> | |||
</jmolCheckbox> | |||
</jmol>, as determined by [http://consurfdb.tau.ac.il/ ConSurfDB]. You may read the [[Conservation%2C_Evolutionary|explanation]] of the method and the full data available from [http://bental.tau.ac.il/new_ConSurfDB/main_output.php?pdb_ID=1eij ConSurf]. | |||
<div style="clear:both"></div> | |||
<div style="background-color:#fffaf0;"> | |||
== Publication Abstract from PubMed == | |||
A set of 424 nonmembrane proteins from Methanobacterium thermoautotrophicum were cloned, expressed and purified for structural studies. Of these, approximately 20% were found to be suitable candidates for X-ray crystallographic or NMR spectroscopic analysis without further optimization of conditions, providing an estimate of the number of the most accessible structural targets in the proteome. A retrospective analysis of the experimental behavior of these proteins suggested some simple relations between sequence and solubility, implying that data bases of protein properties will be useful in optimizing high throughput strategies. Of the first 10 structures determined, several provided clues to biochemical functions that were not detectable from sequence analysis, and in many cases these putative functions could be readily confirmed by biochemical methods. This demonstrates that structural proteomics is feasible and can play a central role in functional genomics. | A set of 424 nonmembrane proteins from Methanobacterium thermoautotrophicum were cloned, expressed and purified for structural studies. Of these, approximately 20% were found to be suitable candidates for X-ray crystallographic or NMR spectroscopic analysis without further optimization of conditions, providing an estimate of the number of the most accessible structural targets in the proteome. A retrospective analysis of the experimental behavior of these proteins suggested some simple relations between sequence and solubility, implying that data bases of protein properties will be useful in optimizing high throughput strategies. Of the first 10 structures determined, several provided clues to biochemical functions that were not detectable from sequence analysis, and in many cases these putative functions could be readily confirmed by biochemical methods. This demonstrates that structural proteomics is feasible and can play a central role in functional genomics. | ||
Structural proteomics of an archaeon.,Christendat D, Yee A, Dharamsi A, Kluger Y, Savchenko A, Cort JR, Booth V, Mackereth CD, Saridakis V, Ekiel I, Kozlov G, Maxwell KL, Wu N, McIntosh LP, Gehring K, Kennedy MA, Davidson AR, Pai EF, Gerstein M, Edwards AM, Arrowsmith CH Nat Struct Biol. 2000 Oct;7(10):903-9. PMID:11017201<ref>PMID:11017201</ref> | |||
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.<br> | |||
</div> | |||
<div class="pdbe-citations 1eij" style="background-color:#fffaf0;"></div> | |||
== References == | |||
<references/> | |||
__TOC__ | |||
</StructureSection> | |||
[[Category: Large Structures]] | |||
[[Category: Methanothermobacter thermautotrophicus]] | [[Category: Methanothermobacter thermautotrophicus]] | ||
[[Category: Arrowsmith CH]] | |||
[[Category: Arrowsmith | [[Category: Booth V]] | ||
[[Category: Booth | [[Category: Christendat D]] | ||
[[Category: Christendat | [[Category: Edwards AM]] | ||
[[Category: Edwards | [[Category: Gernstein M]] | ||
[[Category: Gernstein | |||
Latest revision as of 11:26, 22 May 2024
NMR ENSEMBLE OF METHANOBACTERIUM THERMOAUTOTROPHICUM PROTEIN 1615NMR ENSEMBLE OF METHANOBACTERIUM THERMOAUTOTROPHICUM PROTEIN 1615
Structural highlights
FunctionDNBP_METTH DNA-binding protein which can interact with a randomly chosen 20-mer of double-stranded DNA. Evolutionary Conservation Check, as determined by ConSurfDB. You may read the explanation of the method and the full data available from ConSurf. Publication Abstract from PubMedA set of 424 nonmembrane proteins from Methanobacterium thermoautotrophicum were cloned, expressed and purified for structural studies. Of these, approximately 20% were found to be suitable candidates for X-ray crystallographic or NMR spectroscopic analysis without further optimization of conditions, providing an estimate of the number of the most accessible structural targets in the proteome. A retrospective analysis of the experimental behavior of these proteins suggested some simple relations between sequence and solubility, implying that data bases of protein properties will be useful in optimizing high throughput strategies. Of the first 10 structures determined, several provided clues to biochemical functions that were not detectable from sequence analysis, and in many cases these putative functions could be readily confirmed by biochemical methods. This demonstrates that structural proteomics is feasible and can play a central role in functional genomics. Structural proteomics of an archaeon.,Christendat D, Yee A, Dharamsi A, Kluger Y, Savchenko A, Cort JR, Booth V, Mackereth CD, Saridakis V, Ekiel I, Kozlov G, Maxwell KL, Wu N, McIntosh LP, Gehring K, Kennedy MA, Davidson AR, Pai EF, Gerstein M, Edwards AM, Arrowsmith CH Nat Struct Biol. 2000 Oct;7(10):903-9. PMID:11017201[1] From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine. References
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