ISDA: 1GWD

Deposition Date 2002-03-14

Release Date 2002-06-06

Last Version Date 2024-11-20

Entry Detail

PDB ID:

1GWD

Keywords:

LYSOZYME

Title:

Tri-iodide derivative of hen egg-white lysozyme

Biological Source:

Source Organism:

GALLUS GALLUS (Taxon ID: 9031)

Method Details:

Experimental Method:

X-RAY DIFFRACTION

Resolution:

1.77 Å

R-Value Free:

0.21

R-Value Work:

0.16

R-Value Observed:

0.17

Space Group:

P 43 21 2

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Macromolecular Entities

Structures with similar UniProt ID

Protein Blast

Polymer Type:polypeptide(L)
Molecule:LYSOZYME C
Gene (Uniprot):LYZ
Chain IDs:A
Chain Length:129
Number of Molecules:1
Biological Source:GALLUS GALLUS

UniProt ID:P00698 Pfam ID:PF00062 EC:3.2.1.17

Ligand Molecules

CMO

EDO

IOD

Primary Citation

Triiodide Derivatization and Combinatorial Counter-Ion Replacement: Two Methods for Enhancing Phasing Signal Using Laboratory Cu Kalpha X-Ray Equipment

Evans, G, Bricogne, G.Show

Acta Crystallogr.,Sect.D 58 976 ? (2002)

PMID: 12037300 DOI: 10.1107/S0907444902005486

Abstact

A series of experiments performed at Cu Kalpha wavelength on in-house X-ray equipment are presented which investigate two possibilities for enhancing the experimental phasing signal by means of (i) triiodide/iodide soaks using KI/I(2) and (ii) combinations of counter-ions introduced using the short cryosoak method. Triiodide-derivative crystal structures for five test proteins have been refined and reveal that iodine can bind as polyiodide and single iodide ions through hydrophobic and hydrogen-bonding interactions both at the molecular surface and in intramolecular and intermolecular cavities. In three cases, the structures could be automatically determined with autoSHARP using in-house SAD and SIRAS data. The investigation of combinatorial counter-ion replacement using multiple salts with Na(+) and Cs(+) as cations and I(-) and Cl(-) as anions reveals that, for the case of hen egg-white lysozyme, significant improvement in phasing signal is obtained by the combined use of salts compared with SIRAS methods using native and single short-soak derivative data sets.

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