98%
921
2 minutes
20
The thermodynamics of Zn(2+) binding to three peptides corresponding to naturally occurring Zn-binding sequences in transcription factors have been quantified with isothermal titration calorimetry (ITC). These peptides, the third zinc finger of Sp1 (Sp1-3), the second zinc finger of myelin transcription factor 1 (MyT1-2), and the second Zn-binding sequence of the DNA-binding domain of glucocorticoid receptor (GR-2), bind Zn(2+) with Cys(2)His(2), Cys(2)HisCys, and Cys(4) coordination, respectively. Circular dichroism confirms that Sp1-3 and MyT1-2 have considerable and negligible Zn-stabilized secondary structure, respectively, and indicate only a small amount for GR-2. The pK(a)'s of the Sp1-3 cysteines and histidines were determined by NMR and used to estimate the number of protons displaced by Zn(2+) at pH 7.4. ITC was also used to determine this number, and the two methods agree. Subtraction of buffer contributions to the calorimetric data reveals that all three peptides have a similar affinity for Zn(2+), which has equal enthalpy and entropy components for Sp1-3 but is more enthalpically disfavored and entropically favored with increasing Cys ligands. The resulting enthalpy-entropy compensation originates from the Zn-Cys coordination, as subtraction of the cysteine deprotonation enthalpy results in a similar Zn(2+)-binding enthalpy for all three peptides, and the binding entropy tracks with the number of displaced protons. Metal and protein components of the binding enthalpy and entropy have been estimated. While dominated by Zn(2+) coordination to the cysteines and histidines, other residues in the sequence affect the protein contributions that modulate the stability of these motifs.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1021/ja211417g | DOI Listing |
J Cosmet Dermatol
September 2025
Department of Dermatology, Nantong Third People's Hospital, Affiliated Nantong Hospital 3 of Nantong University, Nantong, China.
Purpose: To evaluate the efficacy and underlying mechanism of advanced optimal pulse technology intense pulsed light (AOPT) in low-energy triple-pulse long-width mode (AOPT-LTL) for melasma treatment.
Methods: An in vivo guinea pig model of melasma was established through progesterone injection and ultraviolet B radiation. Three sessions of AOPT-LTL treatment were performed weekly.
Anal Chim Acta
November 2025
HIV-1 Molecular Epidemiology Laboratory, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Microbiology Department, Hospital Universitario Ramón y Cajal, CIBER en Epidemiología y Salud Pública (CIBERESP), Madrid, 28034, Spain. Electronic address:
Background: Currently, 39.9 million people are infected with the human immunodeficiency virus (HIV), and 1.3 million new infections occur annually, with over 170 circulating variants.
View Article and Find Full Text PDFInt J Biol Macromol
September 2025
Faculty of Agronomy and Agricultural Sciences, University of Dschang, PO. Box 222, Dschang, Cameroon.
Dissolved organic matter (DOM) plays a key role in grassland carbon biogeochemistry and shows sensitivity to global climate change, particularly nitrogen (N) deposition. We investigated the soil DOM molecular composition by UV-Vis and fluorescence spectroscopy, and FT-ICR MS through a N addition experiment (CK, N5, N10, N20, and N40 [0, 5, 10, 20, and 40 g N m-2 year-1, respectively]) in a desert steppe of northwest China. Moderate N inputs (N5-N20) caused a dose-dependent increase in DOM content (9.
View Article and Find Full Text PDFWomens Health (Lond)
September 2025
Worldwide Medical and Safety, Pfizer Inc, New York, NY, USA.
Background: Endometriosis symptoms have multifaceted manifestations, and there are few approved nonsurgical treatment options. Gonadotropin-releasing hormone (GnRH) agonists/antagonists for endometriosis vary on efficacy, safety profile, and out-of-pocket (OOP) cost, among other features.
Objectives: This study quantified the importance that women with endometriosis in the United States (US) placed on pain and non-pain features that differ among these medications.
Drug Discov Today
September 2025
Department of Pharmaceutical and Artificial-Intelligence Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Key Laboratory of Protection, Development and Utilization of Medicinal Resources in Liupanshan Area, Ministry of Education, Peptide & Protein Drug Research Cen
The landscape of allosteric drug discovery is undergoing a transformative shift, driven by the integration of three computational approaches: machine learning (ML), molecular dynamics (MD) simulations, and network theory. ML identifies potential allosteric sites from multidimensional biological datasets; MD simulations, empowered by enhanced sampling algorithms, reveal transient conformational states; and network analyses uncover communication pathways, further aiding in site identification. Their synergy enables rational allosteric modulator design.
View Article and Find Full Text PDF