Literature DB >> 31239187

pHLA3D: An online database of predicted three-dimensional structures of HLA molecules.

Deylane Menezes Teles E Oliveira1, Rafael Melo Santos de Serpa Brandão1, Luiz Claudio Demes da Mata Sousa2, Francisco das Chagas Alves Lima3, Semiramis Jamil Hadad do Monte1, Mário Sérgio Coelho Marroquim1, Antonio Vanildo de Sousa Lima1, Antonio Gilberto Borges Coelho1, Jhonatan Matheus Sousa Costa4, Ricardo Martins Ramos5, Adalberto Socorro da Silva6.   

Abstract

HLA epitope analysis emerged as a strategy to determine alloimmune risk in solid organ transplantation. However, it requires not only knowledge on HLA amino acids sequences, but also on HLA three-dimensional structures. Unfortunately, the number of structures available is still unsatisfactory. This work reports the modelling of 106 heterotrimeric (alpha chain + β2M + peptide) HLA class I molecules. The models were generated by homology modelling using Modeller, refined using GalaxyRefine server, heterodimerized with Swiss-PDB Viewer and, finally, assessed as to their structural quality through Dali server. The final structures were made available through a free online database, pHLA3D (www.phla3d.com.br), developed in Ruby language using the Ruby on Rails web framework. Structural parameters were similar between refined molecules and their templates. The new database may improve HLA epitope analysis and better guide risk assessment in solid organ transplantation setting.
Copyright © 2019 American Society for Histocompatibility and Immunogenetics. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  3D structure; HLA alleles; Homology modelling

Mesh:

Substances:

Year:  2019        PMID: 31239187     DOI: 10.1016/j.humimm.2019.06.009

Source DB:  PubMed          Journal:  Hum Immunol        ISSN: 0198-8859            Impact factor:   2.850


  5 in total

1.  Elucidating the Therapeutic Potential of Cell-Penetrating Peptides in Human Tenon Fibroblast Cells.

Authors:  Amit Chatterjee; Samdani Ansar; Divya Gopal; Umashankar Vetrivel; Ronnie George; Janakiraman Narayanan
Journal:  ACS Omega       Date:  2022-05-03

2.  EpiCurator: an immunoinformatic workflow to predict and prioritize SARS-CoV-2 epitopes.

Authors:  Cristina S Ferreira; Yasmmin C Martins; Rangel Celso Souza; Ana Tereza R Vasconcelos
Journal:  PeerJ       Date:  2021-11-30       Impact factor: 2.984

3.  HLA3D: an integrated structure-based computational toolkit for immunotherapy.

Authors:  Xingyu Li; Xue Lin; Xueyin Mei; Pin Chen; Anna Liu; Weicheng Liang; Shan Chang; Jian Li
Journal:  Brief Bioinform       Date:  2022-05-13       Impact factor: 11.622

4.  Snowflake: A deep learning-based human leukocyte antigen matching algorithm considering allele-specific surface accessibility.

Authors:  Matthias Niemann; Benedict M Matern; Eric Spierings
Journal:  Front Immunol       Date:  2022-07-29       Impact factor: 8.786

5.  HLA-EMMA: A user-friendly tool to analyse HLA class I and class II compatibility on the amino acid level.

Authors:  Cynthia S M Kramer; Johan Koster; Geert W Haasnoot; Dave L Roelen; Frans H J Claas; Sebastiaan Heidt
Journal:  HLA       Date:  2020-04-13       Impact factor: 4.513

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.