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EpViX: A cloud-based tool for epitope reactivity analysis and epitope virtual crossmatching to identify low immunologic risk donors for sensitized recipients.
- Source :
-
Transplant immunology [Transpl Immunol] 2015 Nov; Vol. 33 (3), pp. 153-8. Date of Electronic Publication: 2015 Nov 01. - Publication Year :
- 2015
-
Abstract
- One of the challenges facing solid organ transplantation programs globally is the identification of low immunological risk donors for sensitized recipients by HLA allele genotype. Because recognition of donor HLA alleles by host antibodies is at the core of organ rejection, the objective of this work was to develop a new version of the EpHLA software, named EpViX, which uses an HLAMatchmaker algorithm and performs automated epitope virtual crossmatching at the initiation of the organ donation process. EpViX is a free, web-based application developed for use over the internet on a tablet, smartphone or computer. This program was developed using the Ruby programming language and the Ruby-on-Rails framework. To improve the user experience, the EpViX software interface was developed based on the best human–computer interface practices. To simplify epitope analysis and virtual crossmatching, the program was integrated with important available web-based resources, such as OPTN, IMGT/HLA and the International HLA Epitope Registry. We successfully developed a program that allows people to work collaboratively and effectively during the donation process by accurately predicting negative crossmatches, saving time and other resources.
- Subjects :
- Binding Sites, Antibody
Diagnosis, Computer-Assisted
Graft Rejection etiology
HLA Antigens immunology
Humans
Immunization
Isoantibodies immunology
Protein Binding
Risk
Smartphone statistics & numerical data
Software
Tissue Donors
Transplant Recipients
Graft Rejection prevention & control
HLA Antigens metabolism
Histocompatibility Testing methods
Isoantibodies metabolism
Organ Transplantation
Subjects
Details
- Language :
- English
- ISSN :
- 1878-5492
- Volume :
- 33
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Transplant immunology
- Publication Type :
- Academic Journal
- Accession number :
- 26531328
- Full Text :
- https://doi.org/10.1016/j.trim.2015.09.006