Surface plasmon resonance (SPR) is a widely used, affinity based, label-free biophysical technique to investigate biomolecular interactions. The extraction of rate constants requires accurate identification of the particular binding model. The bivalent analyte model involves coupled non-linear differential equations. No clear procedure to identify the bivalent analyte mechanism has been established. In this report, we propose a unique signature for the bivalent analyte model. This signature can be used to distinguish the bivalent analyte model from other biphasic models. The proposed method is demonstrated using experimentally measured SPR sensorgrams.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4617740 | PMC |
http://dx.doi.org/10.1063/1.4933318 | DOI Listing |
Int J Biol Macromol
January 2025
Chemical Department, Faculty of Science, Damietta University, Damietta 34517, Egypt.
The study investigated the enhancement of stability and efficacy in the removal of bivalent nickel ions (Ni(II)) by utilizing a cerium metal-organic framework (Ce-MOF) encapsulated within a food-grade algal matrix. This composite material is integrated into a dual-layer hydrogel containing chitosan and carboxymethyl cellulose. The enhancement of structural integrity in the final product can be attributed to the cross-linking process with epichlorohydrin, leading to the development of Ce-MOF-FGA/CMC-CS hydrogel beads.
View Article and Find Full Text PDFAnal Chem
January 2025
Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Analytical Chemistry for Living Biosystems, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.
High-performance isolation of exosomes as a promising liquid biopsy target is of great importance for both fundamental research and clinical applications. This is, however, challenged by the prevalent heterogeneity of exosomes and the highly complex nature of biosamples. Here, we introduce the use of a CD81-targeting peptide as a building block for tailoring molecular baits for exosome isolation and payload analysis in clinical biofluids.
View Article and Find Full Text PDFJ Am Chem Soc
January 2025
New Cornerstone Science Laboratory, MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou 350108, People's Republic of China.
Proteolysis-targeting chimeras (PROTACs) are dual-functional molecules composed of a protein of interest (POI) ligand and an E3 ligase ligand connected by a linker, which can recruit POI and E3 ligases simultaneously, thereby inducing the degradation of POI and showing great potential in disease treatment. A challenge in developing PROTACs is the design of linkers and the modification of ligands to establish a multifunctional platform that enhances degradation efficiency and antitumor activity. As a programmable and modifiable nanomaterial, DNA tetrahedron can precisely assemble and selectively recognize molecules and flexibly adjust the distance between molecules, making them ideal linkers.
View Article and Find Full Text PDFObstet Gynecol
February 2025
Children's Hospital Colorado, Aurora, Colorado; Vaccine Research and Development, Pfizer Inc, Pearl River, New York; the South African Medical Research Council Vaccines and Infectious Diseases Analytics Research Unit and Wits Infectious Diseases and Oncology Research Institute, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, and Famcru, Department of Paediatrics and Child Health, University of Stellenbosch, and the Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA-MRC Unit on Child and Adolescent Health, University of Cape Town, Cape Town, South Africa; Vaccines and Immunity Team, Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, the Gambia; Institute for International Health Charité, Universitätsmedizin, Berlin, Germany; Vaccine Research and Development, Pfizer Ltd, Marlow, United Kingdom; Instituto de Maternidad y Ginecología Nuestra Señora de Las Mercedes, San Miguel de Tucumán, and iTrials-Hospital Militar Central and iTrials, Buenos Aires, Argentina; Clinical Research Prime, Idaho Falls, Idaho; Boeson Research, Missoula, Montana; Meridian Clinical Research, Hastings, Nebraska; Asian Hospital and Medical Center, Manila, the Philippines; Department of Pediatrics, Spaarne Gasthuis, Haarlem and Hoofddorp, the Department of Pediatrics, Department of Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, and the ReSViNET Foundation, Zeist, the Netherlands; Meilahti Vaccine Research Center MeVac, Inflammation Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; National Taiwan University Hospital, Taipei, Taiwan; the Department of Obstetrics and Gynecology, Sendai City Hospital, Sendai, Japan; Institute of Biomedical Sciences, University of Chile School of Medicine, Santiago, Chile; University of Otago and New Zealand Clinical Research, Christchurch, New Zealand; CHU Sainte-Justine, Montreal, Quebec, Canada; Hospital Moinhos de Vento and Pontifícia Universidade Católica RGS, Porto Alegre, Brazil; the Department of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark; Arké SMO S.A. de C.V., Mexico City, Mexico; University of Western Australia School of Medicine, Vaccine Trials Group, Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, and Perth Children's Hospital, Nedlands, Western Australia, and Vaccine Clinical Research, Pfizer Inc, Sydney, Australia; and Worldwide Safety, Pfizer Srl, Milan, Italy.
Objective: To evaluate descriptive efficacy data, exploratory immunogenicity data, and safety follow-up through study completion from the global, phase 3 MATISSE (Maternal Immunization Study for Safety and Efficacy) maternal vaccination trial of bivalent respiratory syncytial virus (RSV) prefusion F protein vaccine (RSVpreF).
Methods: MATISSE was a phase 3, randomized, double-blinded, placebo-controlled trial. Healthy pregnant participants aged 49 years or younger at 24-36 weeks of gestation were randomized (1:1) to receive a single RSVpreF 120 micrograms or placebo dose.
Obstet Gynecol
February 2025
South African Medical Research Council Vaccines and Infectious Diseases Analytics Research Unit and the Wits Infectious Diseases and Oncology Research Institute, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, and the Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA-MRC Unit on Child and Adolescent Health, University of Cape Town, Cape Town, South Africa; the Vaccines and Immunity Team, Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, the Gambia; the Institute for International Health Charité, Universitätsmedizin, Berlin, Germany; Children's Hospital Colorado, Aurora, Colorado; Vaccine Research and Development, Pfizer Inc, Pearl River, New York; Vaccine Research and Development, Pfizer Inc, Hurley, United Kingdom; Instituto de Maternidad y Ginecología Nuestra Señora de Las Mercedes, San Miguel de Tucumán, Argentina; iTrials-Hospital Militar Central, Buenos Aires, Argentina; the Stanford University School of Medicine, Palo Alto, California; the Department of Obstetrics and Gynecology, University of Washington, Seattle, Washington; and Worldwide Safety, Pfizer Srl, Milan, Italy.
Objective: To describe preterm birth frequency and newborn and infant outcomes overall and among preterm children in the MATISSE (Maternal Immunization Study for Safety and Efficacy) trial of maternal vaccination with bivalent respiratory syncytial virus (RSV) prefusion F protein-based vaccine (RSVpreF) to protect infants against severe RSV-associated illness.
Methods: MATISSE was a global, phase 3, randomized, double-blind trial. Pregnant individuals received single injections of RSVpreF or placebo.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!