AI Article Synopsis
- The study focuses on the interaction between the positively charged linker histone H1 and the negatively charged chaperone prothymosin α (ProTα), highlighting their strong binding in physiological conditions.
- The analysis employs a thermodynamic model that considers the influence of counterion release and hydration on the complex formation.
- The findings reveal that the binding energy is primarily driven by the release of counterions from ProTα, while changes in water interactions and conformational constraints contribute to a significant negative change in free energy.
Article Abstract
A thermodynamic analysis of the binary complex formation of the highly positively charged linker histone H1 and the highly negatively charged chaperone prothymosin α (ProTα) is detailed. ProTα and H1 have large opposite net charges (-44 and +53, respectively) and form complexes at physiological salt concentrations with high affinities. The data obtained for the binary complex formation are analyzed by a thermodynamic model that is based on counterion condensation modulated by hydration effects. The analysis demonstrates that the release of the counterions mainly bound to ProTα is the main driving force, and effects related to water release play no role within the limits of error. A strongly negative Δ (=-0.87 kJ/(K mol)) is found, which is due to the loss of conformational degrees of freedom.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11592313 | PMC |
| http://dx.doi.org/10.3390/biom14111421 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Automated CAD system for early detection and classification of pancreatic cancer using deep learning model.
PLoS One
January 2025
Department of Computer Science, National Textile University, Faisalabad, Pakistan.
Accurate diagnosis of pancreatic cancer using CT scan images is critical for early detection and treatment, potentially saving numerous lives globally. Manual identification of pancreatic tumors by radiologists is challenging and time-consuming due to the complex nature of CT scan images and variations in tumor shape, size, and location of the pancreatic tumor also make it challenging to detect and classify different types of tumors. Thus, to address this challenge we proposed a four-stage framework of computer-aided diagnosis systems.
View Article and Find Full Text PDFBasic Science and Pathogenesis.
Alzheimers Dement
December 2024
Cleveland Clinic Lou Ruvo Center for Brain Health, Cleveland, OH, USA.
Background: The emerging tools of protein-protein interactome network offer a platform to explore not only the molecular complexity of human diseases, but also to identify risk genes and drug targets. Integration of the genome, transcriptome, proteome, and the interactome networks are essential for such identification, including Alzheimer's disease (AD), Parkinson disease (PD), and Amyotrophic lateral sclerosis (ALS) METHOD: In this study, we performed multi-modal analyses of cross-species protein interactome networks and human brain functional genomics data to identify risk genes and drug targets for neurodegenerative diseases. We presented a multi-view topology-based deep learning framework to identify disease-associated genes for cross-species interactome (TAG-X).
View Article and Find Full Text PDFA new coamorphous ethionamide with enhanced solubility: Preparation, characterization, in silico pharmacokinetics, and controlled release by encapsulation.
Int J Pharm
December 2024
Sciences Center of Imperatriz, Federal University of Maranhão - UFMA, 65900-410, Imperatriz, MA, Brazil. Electronic address:
This study reports the synthesis and the experimental-theoretical characterization of a new coamorphous system consisting of ethionamide (ETH) and mandelic acid (MND) as a coformer. The solid dispersion was synthesized using the slow solvent evaporation method in an ethanolic medium. The structural, vibrational, and thermal properties of the system were characterized.
View Article and Find Full Text PDFLineage Analysis at Single-Cell Resolution by Twin-Spot MARCM with Lineage-Restricted Drivers.
Methods Mol Biol
January 2025
Life Science Institute, University of Michigan, Ann Arbor, MI, USA.
Cell lineage analysis is primarily undertaken to understand cell fate specification and diversification along a cell lineage tree. Built with dual repressible markers, twin-spot mosaic analysis with repressible cell markers (MARCM) labels the two daughter cells made by a common precursor in distinct colors. The power of twin-spot MARCM to systematically subdivide complex lineages is exemplified in studies of Drosophila neural stem-cell lineages.
View Article and Find Full Text PDFA theoretical comparison of different third component content in ternary organic solar cells.
Phys Chem Chem Phys
January 2025
School of Chemistry and Environmental Engineering, Changchun University of Science and Technology, Jilin Provincial Science and Technology Innovation Center of Optical Materials and Chemistry, Jilin Provincial International Joint Research Center of Photo-functional Materials and Chemistry, Changchun, 130022, China.
Ternary solar cells have been rapidly developed in the realm of organic solar cells (OSCs). The incorporation of a third component into a cell results in a complicated active layer morphology, and the relation of this morphology to power conversion efficiency remains elusive. In this work, two ternary active layers, B1:Y7 (10 wt%):BO-4Cl and B1:Y7 (50 wt%):BO-4Cl are constructed, and the reasons for the differences in PCE caused by varying the Y7 content are investigated using theoretical calculations.
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!