Abs are very efficient drugs, ∼70 of them are already approved for medical use, over 500 are in clinical development, and many more are in preclinical development. One important step in the characterization and protection of a therapeutic Ab is the determination of its cognate epitope. The gold standard is the three-dimensional structure of the Ab/Ag complex by crystallography or nuclear magnetic resonance spectroscopy. However, it remains a tedious task, and its outcome is uncertain. We have developed MAbTope, a docking-based prediction method of the epitope associated with straightforward experimental validation procedures. We show that MAbTope predicts the correct epitope for each of 129 tested examples of Ab/Ag complexes of known structure. We further validated this method through the successful determination, and experimental validation (using human embryonic kidney cells 293), of the epitopes recognized by two therapeutic Abs targeting TNF-α: certolizumab and golimumab.
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http://dx.doi.org/10.4049/jimmunol.1701722 | DOI Listing |
BMC Cancer
January 2025
Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Background: Prostate cancer (PCa) is commonly occurred among males worldwide and its prognosis could be influenced by biochemical recurrence (BCR). MicroRNAs (miRNAs) are functional regulators in carcinogenesis, and miR-221-3p was reported as one of the significant candidates deregulated in PCa. However, its regulatory pattern in PCa BCR across literature reports was not consistent, and the targets and mechanisms in PCa malignant transition and BCR are less explored.
View Article and Find Full Text PDFNature
January 2025
Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Germline BRCA2 loss-of function variants, which can be identified through clinical genetic testing, predispose to several cancers. However, variants of uncertain significance limit the clinical utility of test results. Thus, there is a need for functional characterization and clinical classification of all BRCA2 variants to facilitate the clinical management of individuals with these variants.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Orthopedic Surgery, 920th Hospital of Joint Logistics Support Force of PLA, Kunming, China.
Osteoarthritis (OA) is a degenerative bone disease characterized by the destruction of joint cartilage and synovial inflammation, involving intricate immune regulation processes. Disulfidptosis, a novel form of programmed cell death, has recently been identified; however, the effects and roles of disulfidptosis-related genes (DR-DEGs) in OA remain unclear. We obtained six OA datasets from the GEO database, using four as training sets and two as validation sets.
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January 2025
Department of Bioprocess Engineering, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran.
With the advancement of biotechnology in the marine industry, an increasing utilization of marine ingredients in skincare products has been observed in recent years. Encapsulating Artemia franciscana extract and its derivatives in a novel phospholipid vesicle called hyalurosome presents innovative strategies for drug delivery systems and anti-aging products. In this study, we developed nano hyalurosomes containing Artemia franciscana active components.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, via Mario Negri 2, Milano, 20156, Italy.
This study presents a quantitative read-across structure-property relationship (q-RASPR) approach that integrates the chemical similarity information used in read-across with traditional quantitative structure-property relationship (QSPR) models. This novel framework is applied to predict the physicochemical properties and environmental behaviors of persistent organic pollutants, specifically polychlorinated biphenyls (PCBs) and polybrominated diphenyl ethers (PBDEs). By utilizing a curated dataset and incorporating similarity-based descriptors, the q-RASPR approach improves the accuracy of predictions, particularly for compounds with limited experimental data.
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