Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1269570 | PMC |
| http://dx.doi.org/10.1042/bj0560056 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Structural Insights into Broad-Range Polyphosphate Kinase 2‑II Enzymes Applicable for Pyrimidine Nucleoside Diphosphate Synthesis.
Chembiochem
January 2025
University of Freiburg: Albert-Ludwigs-Universitat Freiburg, Institute of Pharmaceutical Sciences, Albertstr. 25, 79104, Freiburg, GERMANY.
Polyphosphate kinases (PPK) play crucial roles in various biological processes, including energy storage and stress responses, through their interaction with inorganic polyphosphate (polyP) and the intracellular nucleotide pool. Members of the PPK family 2 (PPK2s) catalyse polyP‑consuming phosphorylation of nucleotides. In this study, we characterised two PPK2 enzymes from Bacillus cereus (BcPPK2) and Lysinibacillus fusiformis (LfPPK2) to investigate their substrate specificity and potential for selective nucleotide synthesis.
View Article and Find Full Text PDFDeciphering the toxic effects of polystyrene nanoparticles on erythropoiesis at single-cell resolution.
Zool Res
January 2025
Department of Biomedical Informatics, School of Medicine, Pusan National University, Yangsan, Gyeongsangnam-do 50612, Republic of Korea.
Polystyrene nanoparticles pose significant toxicological risks to aquatic ecosystems, yet their impact on zebrafish ( ) embryonic development, particularly erythropoiesis, remains underexplored. This study used single-cell RNA sequencing to comprehensively evaluate the effects of polystyrene nanoparticle exposure on erythropoiesis in zebrafish embryos. validation experiments corroborated the transcriptomic findings, revealing that polystyrene nanoparticle exposure disrupted erythrocyte differentiation, as evidenced by the decrease in mature erythrocytes and concomitant increase in immature erythrocytes.
View Article and Find Full Text PDFDissecting AlphaFold2's capabilities with limited sequence information.
Bioinform Adv
November 2024
Institute of Biochemistry and Molecular Medicine, University of Bern, Bern 3012, Switzerland.
Summary: Protein structure prediction aims to infer a protein's three-dimensional (3D) structure from its amino acid sequence. Protein structure is pivotal for elucidating protein functions, interactions, and driving biotechnological innovation. The deep learning model AlphaFold2, has revolutionized this field by leveraging phylogenetic information from multiple sequence alignments (MSAs) to achieve remarkable accuracy in protein structure prediction.
View Article and Find Full Text PDFIdentification of promising dipeptidyl peptidase-4 and protein tyrosine phosphatase 1B inhibitors from selected terpenoids through molecular modeling.
Bioinform Adv
December 2024
Structural and Computational Biology Group, Nutritional and Industrial Biochemistry Research Unit, Department of Biochemistry, College of Medicine, University of Ibadan, Ibadan 200005, Nigeria.
Motivation: Investigating novel drug-target interactions is crucial for expanding the chemical space of emerging therapeutic targets in human diseases. Herein, we explored the interactions of dipeptidyl peptidase-4 and protein tyrosine phosphatase 1B with selected terpenoids from African antidiabetic plants.
Results: Using molecular docking, molecular dynamics simulations, molecular mechanics with generalized Born and surface area solvation-free energy, and density functional theory analyses, the study revealed dipeptidyl peptidase-4 as a promising target.
Impact of IYCF practices, as measured by national nutrition surveys from 2018 to 2022, on stunting and under-5 survival in Burkina Faso: a LiST analysis.
Front Nutr
January 2025
Laboratory of Biochemistry, Biotechnology, Food Technology and Nutrition (LABIOTAN), Department of Biochemistry-Microbiology, Joseph KI-ZERBO University, Ouagadougou, Burkina Faso.
Introduction: Burkina Faso is facing a serious public health problem of chronic malnutrition and mortality in children under the age of 5. To tackle this situation, a number of child nutrition interventions have been implemented. This study aims to assess the impact of these interventions on the nutritional status of children aged 0-5 years between 2018 and 2022.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!