Calmodulin is a two-domain protein which in solution can adopt a variety of conformations upon reorientation of its domains. The maximum occurrence (MO) of a set of calmodulin conformations that are representative of the overall conformational space possibly sampled by the protein, has been calculated from the paramagnetism-based restraints. These restraints were measured after inclusion of a lanthanide binding tag in the C-terminal domain to supplement the data obtained by substitution of three paramagnetic lanthanide ions to the calcium ion in the second calcium binding loop of the N-terminal domain. The analysis shows that the availability of paramagnetic restraints arising from metal ions placed on both domains, reduces the MO of the conformations to different extents, thereby helping to identify those conformations that can be mostly sampled by the protein.
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http://dx.doi.org/10.1007/s10858-011-9532-2 | DOI Listing |
Bioorg Chem
January 2025
School of Biotechnology and Key Laboratory of Industrial Biotechnology of Education, School of Biotechnology, Jiangnan University, Wuxi 214122 China. Electronic address:
Achieving enzyme catalysis at high substrate concentrations is a substantial challenge in industrial biocatalysis, and the role of glycosylation in post-translational modifications that modulate enzyme substrate inhibition remains poorly understood. This study provides insights into the role of N-glycosylation in substrate inhibition by comparing the catalytic properties of d-lactonohydrolase (d-Lac) derived from Fusarium moniliforme expressed in prokaryotic and eukaryotic hosts. Experimental evidence indicates that recombinant d-Lac expressed in Pichia pastoris (PpLac-WT) exhibits higher hydrolysis rates at a substrate concentration of 400 g/L, with reduced substrate inhibition and enhanced stability compared to the recombinant d-Lac expressed in Escherichia coli (EcLac-WT).
View Article and Find Full Text PDFProteins
January 2025
Department of Chemistry and Chemical Biology, Indian Institute of Technology (Indian School of Mines), Dhanbad, India.
MPS1 kinase is a dual specificity kinase that plays an important role in the spindle assembly checkpoint mechanism during cell division. Overexpression of MPS1 kinase is reported in several cancers. However, drug discovery and development efforts targeting MPS1 kinase did not result in any clinically successful candidates.
View Article and Find Full Text PDFActa Crystallogr E Crystallogr Commun
January 2025
A novel coordination compound, [Co()(HO)], was synthesized from aqueous solutions of Co(NO) and the ligand 2-[(5-methyl-1,3,4-thia-diazol-2-yl)sulfan-yl]acetic acid (H, CHNOS). In the monoclinic crystals (space group 2/), the cobalt(II) ion is located about a centre of symmetry and is octa-hedrally coordinated by two anions in a monodentate fashion through carboxyl O atoms and by four water mol-ecules. A relatively strong hydrogen bond between one of the water mol-ecules and the non-coordinating carboxyl-ate O atom consolidates the conformation.
View Article and Find Full Text PDFPLoS One
January 2025
Michael Sayegh Faculty of Pharmacy, Aqaba University of Technology, Aqaba, Jordan.
Breast cancer remains a significant challenge in oncology, highlighting the need for alternative therapeutic strategies that target necroptosis to overcome resistance to conventional therapies. Recent investigations into natural compounds have identified 8,12-dimethoxysanguinarine (SG-A) from Eomecon chionantha as a potential necroptosis inducer. This study presents the first computational exploration of SG-A interactions with key necroptotic proteins-RIPK1, RIPK3, and MLKL-through molecular docking, molecular dynamics (MD), density functional theory (DFT), and molecular electrostatic potential (MEP) analyses.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
Qingdao Institute of Software, College of Computer Science and Technology, China University of Petroleum (East China), Qingdao 266580, China.
Accurate protein secondary structure prediction (PSSP) plays a crucial role in biopharmaceutics and disease diagnosis. Current prediction methods are mainly based on multiple sequence alignment (MSA) encoding and collaborative operations of diverse networks. However, existing encoding approaches lead to poor feature space utilization, and encoding quality decreases with fewer homologous proteins.
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