3D protein-structure-oriented discovery of clinical relation across chronic lymphocytic leukemia patients

Konstantinos Mochament, Andreas Agathangelidis, Eleftheria Polychronidou, Christos Palaskas, Elias Kalamaras, Panagiotis Moschonas, Kostas Stamatopoulos, Anna Chailyan, Nanna Overby, Paolo Marcatili, Anastasia Hadzidimitriou, Dimitrios Tzovaras

Research output: Contribution to journalConference articleResearchpeer-review

Abstract

Chronic lymphocytic leukemia (CLL) is the most common adult leukemia with still unclear etiology. Indications of antigenic pressure have been hinted, using sequence and structure-based reasoning. The accuracy of such approaches, and in particular of the ones derived from 3D models obtained from the patients’ antibody amino acid sequences, is intimately connected to both the reliability of the models and the quality of the methods used to compare and group them. The proposed work provides a sophisticated method for the classification of CLL patients based on clustering the amino acid sequences of the clonotypic B-cell receptor immunoglobulin, which is the ideal clone-specific marker, critical for clonal behavior and patient outcome. A novel CLL patient clustering method is hereby proposed, combining bioinformatics methods with the extraction of 3D object descriptors, used in machine learning applications. The proposed methodology achieved an efficient and highly informative grouping of CLL patients in accordance to their biological and clinical properties.
Original languageEnglish
Book seriesLecture Notes in Computer Science
Volume10209
Pages (from-to)139-150
ISSN0302-9743
DOIs
Publication statusPublished - 2017
Event5th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2017, Granada, Spain, April 26–28, 2017 - Science Faculty of the University of Granada, Granada, Spain
Duration: 26 Apr 201728 Apr 2017
Conference number: 5
http://iwbbio.ugr.es/

Conference

Conference5th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2017, Granada, Spain, April 26–28, 2017
Number5
LocationScience Faculty of the University of Granada
CountrySpain
CityGranada
Period26/04/201728/04/2017
Internet address

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