MAbTope: A Method for Improved Epitope Mapping.

J Immunol

Unité de Physiologie de la Reproduction et des Comportements, Institut National de la Recherche Agronomique, Université François Rabelais-Tours, CNRS, 37380 Nouzilly, France;

Published: November 2018

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.

Download full-text PDF

Source
http://dx.doi.org/10.4049/jimmunol.1701722DOI Listing

Publication Analysis

Top Keywords

experimental validation
8
mabtope method
4
method improved
4
epitope
4
improved epitope
4
epitope mapping
4
mapping abs
4
abs efficient
4
efficient drugs
4
drugs ∼70
4

Similar Publications

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 PDF

Functional evaluation and clinical classification of BRCA2 variants.

Nature

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 PDF

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.

View Article and Find Full Text PDF

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 PDF

The q-RASPR approach for predicting the property and fate of persistent organic pollutants.

Sci 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.

View Article and Find Full Text PDF

Want 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!