DocumentCode :
639106
Title :
A bioinformatics pipeline for sequence to structure: A case study with a Cml patient undergoing treatment with imatinib
Author :
Chacko, Anita Rachel ; Patil, Swapnil ; Upadhayay, Atul K. ; Nagrajan, Ashwat ; Khatri, Rakesh ; Arya, Deeksha ; Krishna, Sanjay ; Sowdhamini, R. ; Ross, C.
Author_Institution :
Nat. Centre for Biol. Sci., GKVK Campus, Bangalore, India
fYear :
2013
fDate :
21-23 May 2013
Firstpage :
1
Lastpage :
4
Abstract :
Chronic Myeloid Leukaemia (CML) is a resultant of the 9:22 translocation event leading to the constitutive kinase activity of BCR-ABL. Imatinib is the drug used as the first line therapy in CML. We report a longitudinal case study for a CML patient under treatment with imatinib. The bone marrow aspirate of this CML patient was used for exome sequencing. Single nucleotide variants (SNVs) unique to the exome sequencing sample datasets were analysed with an emphasis on kinases. These mutations were mapped to the structure to further understand the significance of the SNVs in the context of its stability and kinase-drug interaction. Here we present a data filtering pipeline with examples for sequence to structure approach. This strategy can be used to filter kinases from next generation sequencing data relevant to cancers.
Keywords :
bioinformatics; cancer; drugs; patient treatment; BCR-ABL. Imatinib; CML; SNV; bioinformatics pipeline; cancers; chronic myeloid leukaemia; drug; next generation sequencing; patient treatment; single nucleotide variants; Bioinformatics; Cancer; Genomics; Irrigation; Lead; Periodic structures; Chronic Myeloid Leukemia; Drug interaction; Exome sequencing; Kinase; Single Nucleotide Variants; longitudinal study;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Sciences and Engineering Conference (BSEC), 2013
Conference_Location :
Oak Ridge, TN
Print_ISBN :
978-1-4799-2118-8
Type :
conf
DOI :
10.1109/BSEC.2013.6618499
Filename :
6618499
Link To Document :
بازگشت