9f5b | pdb_00009f5b
Identification of zinc ions in LMO4.
Structural highlights
FunctionLMO4_HUMAN Transcription cofactor. Plays a role in establishing motor neuron identity, in concert with MNX1, acting, at least in part, to disrupt LDB1-LHX3 complexes thereby negatively modulating interneuron genes in motor neurons.[UniProtKB:P61969]LDB1_HUMAN Binds to the LIM domain of a wide variety of LIM domain-containing transcription factors. May regulate the transcriptional activity of LIM-containing proteins by determining specific partner interactions. Play a role in the development of interneurons and motor neurons in cooperation with LHX3 and ISL1. Acts synergistically with LHX1/LIM1 in axis formation and activation of gene expression. Acts with LMO2 in the regulation of red blood cell development, maintaining erythroid precursors in an immature state (By similarity). Publication Abstract from PubMedAlphaFold2 has revolutionized structural biology by offering unparalleled accuracy in predicting protein structures. Traditional methods for determining protein structures, such as X-ray crystallography and cryo-electron microscopy, are often time-consuming and resource-intensive. AlphaFold2 provides models that are valuable for molecular replacement, aiding in model building and docking into electron density or potential maps. However, despite its capabilities, models from AlphaFold2 do not consistently match the accuracy of experimentally determined structures, need to be validated experimentally and currently miss some crucial information, such as post-translational modifications, ligands and bound ions. In this paper, the advantages are explored of collecting X-ray anomalous data to identify chemical elements, such as metal ions, which are key to understanding certain structures and functions of proteins. This is achieved through methods such as calculating anomalous difference Fourier maps or refining the imaginary component of the anomalous scattering factor f. Anomalous data can serve as a valuable complement to the information provided by AlphaFold2 models and this is particularly significant in elucidating the roles of metal ions. Utilizing anomalous signals for element identification in macromolecular crystallography.,El Omari K, Forsyth I, Duman R, Orr CM, Mykhaylyk V, Mancini EJ, Wagner A Acta Crystallogr D Struct Biol. 2024 Oct 1;80(Pt 10):713-721. doi: , 10.1107/S2059798324008659. Epub 2024 Sep 18. PMID:39291627[1] From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine. References
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