iVAX: An integrated toolkit for the selection and optimization of antigens and the design of epitope-driven vaccines
نویسندگان
چکیده
Computational vaccine design, also known as computational vaccinology, encompasses epitope mapping, antigen selection and immunogen design using computational tools. The iVAX toolkit is an integrated set of tools that has been in development since 1998 by De Groot and Martin. It comprises a suite of immunoinformatics algorithms for triaging candidate antigens, selecting immunogenic and conserved T cell epitopes, eliminating regulatory T cell epitopes, and optimizing antigens for immunogenicity and protection against disease. iVAX has been applied to vaccine development programs for emerging infectious diseases, cancer antigens and biodefense targets. Several iVAX vaccine design projects have had success in pre-clinical studies in animal models and are progressing toward clinical studies. The toolkit now incorporates a range of immunoinformatics tools for infectious disease and cancer immunotherapy vaccine design. This article will provide a guide to the iVAX approach to computational vaccinology.
منابع مشابه
B and T-Cell Epitope Prediction of the OMP25 Antigen for Developing Brucella melitensis Vaccines for Sheep
Brucellosis, produced by Brucella species, is a disease that causes severe economic losses for livestock farms worldwide Due to serious economic and medical consequences of this disease, many efforts have been made to prevent the infection through the use of recombinant vaccines based on Brucella outer membrane protein (OMP) antigens. In the present study, a wide range of on-line prediction sof...
متن کاملDesign of a Novel Recombinant Multi-Epitope Vaccine against Triple-Negative Breast Cancer
Background: Triple-negative breast cancer (TNBC) is determined by the absence of ERBB2, estrogen and progesterone receptors’ expression. Cancer vaccines, as the novel immunotherapy strategies, have emerged as promising tools for treating the advanced stage of TNBC. The aim of this study was to evaluate Carcinoembryonic antigen (CEA), Metadherin (MTDH), and Mucin 1 (MUC-1) proteins as vaccine ...
متن کاملImmunoinformatics Design of a Multi-epitope-based Vaccine Against Colorectal Cancer
Background: Bioinformatic approaches for designing vaccines have become a promising alternative to conventional methods. We herein designed a multi-epitope-based vaccine against colorectal cancer (CRC). Methods: Used peptides in the CRC vaccines were retrieved from databases of PubMed, Web of Science, Google Scholar, and Clinical trials. The adjuvants of Mycobacterial heparin-binding hemagglut...
متن کاملDesign of An Integrated Robust Optimization Model for Closed-Loop Supply Chain and supplier and remanufacturing subcontractor selection
The development of optimization and mathematical models for closed loop supply chain (CLSC) design has attracted considerable interest over the past decades. However, the uncertainties that are inherent in the network design are challenging the capabilities of the developed tools. In CLSC Uncertainty in demand is major source of uncertainty. The aim of this paper, therefore, is to present a Rob...
متن کاملAn integrated model of cellular manufacturing and supplier selection considering product quality
Today’s business environment has forced manufacturers and plants to produce high-quality products at low cost and the shortest possible delivery time. To cope with this challenge, manufacturing organizations need to optimize the manufacturing and other functions that are in logical association with each other. Therefore, manufacturing system design and supplier selection process are linked toge...
متن کامل