Results 201 to 210 of about 4,743 (216)
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Immunoinformatics in personalized medicine.

Novartis Foundation symposium, 2004
Diagnosis of human disease has been undergoing steady improvement over the past few centuries. Many ailments that were once considered a single entity have been classified into finer categories on the basis of response to therapy (e.g. type I and type II diabetes), inheritance (e.g. familial and non-familial polyposis coli), histology (e.g.
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Hybrid Neural Networks for Immunoinformatics

International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06), 2006
Hybrid set of optimally trained feed-forward, Hop-field and Elman neural networks were used as computational tools and were applied to immunoinformatics. These neural networks enabled a better understanding of the functions and key components of the adaptive immune system.
M. Zohdy, T. Djekovic, K.B. Solano
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Immunoinformatics and Systems Biology in Personalized Medicine

2014
Every year new databases and tools for the storage and analysis of biological data are developed, updated, and discontinued. For this reason it is very important to have a clear picture of the major repositories providing information about the availability of these databases and tools as well as a brief description of them.
Raquel Almansa   +3 more
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Immunoinformatics, Molecular Modeling, and Cancer Vaccines

2014
Cancer vaccines are a natural way of fighting the development and progression of cancer as they harness the power of immune system to tweak it into killing cancerous cells. One of the most important agents in an immune system, the cytotoxic T cells (CTL), play a major role and the CTL epitopes in the form of an immunotherapeutic product have been shown
Seema Mishra, Subrata Sinha
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Immunoinformatics as a Tool for New Antifungal Vaccines

2017
Immunoinformatics aids in screening for vaccine candidates, which can be experimentally tested for their efficacy. This chapter describes methods to use immunoinformatics to screen fungal vaccines candidates. Surface-localized molecules called adhesins could elicit immune response and serve as efficient vaccine candidates.
Rupanjali Chaudhuri   +1 more
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Tools, Databases, and Applications of Immunoinformatics

2018
A large volume of data relevant to immunology research has accumulated due to sequencing of the human and other model organism genomes. At the same time, huge amounts of clinical and epidemiologic data are being deposited in various scientific literature and clinical records.
Namrata Tomar   +2 more
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Computational vaccinology and epitope vaccine design by immunoinformatics

Acta Microbiologica et Immunologica Hungarica, 2014
Human immune system includes variety of different cells and molecules correlating with other body systems. These instances complicate the analysis of the system; particularly in postgenomic era by introducing more amount of data, the complexity is increased and necessity of using computational approaches to process and interpret them is more tangible ...
Khalili, Saeed   +4 more
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Immunoinformatics: The Next Step in Vaccine Design

2009
T cells have come to be recognized as critical mediators of competent and lasting responses elicited by vaccines. This recognition catalyzed the development of computer-driven (immunoinformatics) methods for defining T-cell epitopes directly from protein sequences.
Anne S. De Groot   +3 more
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IMGT®, the International ImmunoGeneTics Information System® for Immunoinformatics

Molecular Biotechnology, 2007
IMGT, the international ImMunoGeneTics information system (http://imgt.cines.fr), was created in 1989 by the Laboratoire d'lmmunoGénétique Moléculaire (LIGM) (Université Montpellier II and CNRS) at Montpellier, France, in order to standardize and manage the complexity of immunogenetics data.
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Immunoinformatics and the in Silico Prediction of Immunogenicity

2007
Immunoinformatics is the application of informatics techniques to molecules of the immune system. One of its principal goals is the effective prediction of immunogenicity, be that at the level of epitope, subunit vaccine, or attenuated pathogen. Immunogenicity is the ability of a pathogen or component thereof to induce a specific immune response when ...
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