On allosteric modulation of P-type Cu(+)-ATPases.
@article{Mattle2013OnAM, title={On allosteric modulation of P-type Cu(+)-ATPases.}, author={Daniel Mattle and Oleg Sitsel and Henriette Elisabeth Autzen and Gabriele Meloni and Pontus Emanuel Gourdon and Poul Nissen}, journal={Journal of molecular biology}, year={2013}, volume={425 13}, pages={ 2299-308 } }
28 Citations
Structure and mechanism of Zn2+-transporting P-type ATPases
- BiologyNature
- 2014
The findings suggest a mechanistic link between PIB-type Zn2+-ATPases and PIII-type H+-ATORases and at the same time show structural features of the extracellular release pathway that resemble PII-type ATPases such as the sarcoplasmic/endoplasmsic reticulum Ca2-atPase (SERCA) and Na+, K+- ATPase.
Copper-transporting P-type ATPases use a unique ion-release pathway
- BiologyNature Structural &Molecular Biology
- 2014
It is shown by molecular dynamics simulations that extracellular water solvated the transmembrane (TM) domain, results indicative of a Cu+-release pathway, and a new LpCopA crystal structure determined at 2-Å resolution delineated the same passage, and site-directed-mutagenesis activity assays support a functional role for the conduit.
Transmembrane Cu(i) P-type ATPase pumps are electrogenic uniporters.
- BiologyDalton transactions
- 2020
A platform to reconstitute the model Cu(i)-pump from E. coli in artificial lipid bilayer small unilamellar vesicles to quantitatively characterize the metal substrate, putative counter-ions and charge translocation in EcCopA proteoliposomes is developed and mechanistic differences between Cu( i) pumps and other better characterized P-type ATPases are discussed.
Structure and ion-release mechanism of PIB-4-type ATPases
- BiologybioRxiv
- 2021
Several novel P-type ATPase features are revealed, including a dual role in heavy-metal release, and as an internal counter ion, of an invariant, central histidine, in an archetypal PIB-4-ATPases.
Structure and ion-release mechanism of P IB-4-type ATPases 1 2
- Biology
22 Transition metals, such as zinc, are essential micronutrients in all organisms, but 23 also highly toxic in excessive amounts. Heavy-metal transporting P-type (PIB) 24 ATPases are crucial for…
Diversity of the metal-transporting P1B-type ATPases
- BiologyJBIC Journal of Biological Inorganic Chemistry
- 2014
New methods of data partitioning and network visualization known as Transitivity Clustering and Protein Similarity Networks with existing biochemical data to examine properties such as length, speciation, and metal-binding motifs of the P1B-ATPase subfamily sequences reveal interesting relationships among the enzyme sequences of previously established subfamilies.
A sulfur‐based transport pathway in Cu+‐ATPases
- BiologyEMBO reports
- 2015
Structural analysis indicates that Cu+ is bound at a high‐affinity transmembrane‐binding site in a trigonal‐planar coordination with the Cys residues of the conserved CPC motif of trans Membrane segment 4 (C382 and C384) and the Conserved Met residue of transmemBRane segment 6 (M717 of the MXXXS motif).
A new metal binding domain involved in cadmium, cobalt and zinc transport
- BiologyNature chemical biology
- 2015
The CzcP MBD binds two Cd2+, Co2+, or Zn2+ ions in distinct and unique sites, and adopts an unexpected fold consisting of two fused ferredoxin-like domains that indicates a regulatory role for the MBD and distinct functions for the two metal binding sites.
Structure and Function of Cu(I)- and Zn(II)-ATPases.
- ChemistryBiochemistry
- 2015
The Cu(I)- and Zn(II)-ATPases are compared, scrutinizing the molecular differences that allow transport of these two distinct metal types, and possible future directions of research in the field are discussed.
Computational approaches for classification and prediction of P-type ATPase substrate specificity in Arabidopsis
- BiologyPhysiology and Molecular Biology of Plants
- 2016
Learning algorithms engineered in a predictive machine is proposed to foresee the Q9LVV1 and O22180 substrate specificities (P-type ATPase like proteins) with 100 % prediction confidence and promising application of bioinformatics algorithms in classifying ATPases pumps is demonstrated.
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