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STRIDE: a command-line HMM-based identifier and sub-classifier of Plasmodium falciparum RIFIN and STEVOR variant surface antigen families

Authors :
Albert E. Zhou
Zalak V. Shah
Katie R. Bradwell
James B. Munro
Andrea A. Berry
David Serre
Shannon Takala-Harrison
Timothy D. O’Connor
Joana C. Silva
Mark A. Travassos
Source :
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-9 (2022)
Publication Year :
2022
Publisher :
BMC, 2022.

Abstract

Abstract Background RIFINs and STEVORs are variant surface antigens expressed by P. falciparum that play roles in severe malaria pathogenesis and immune evasion. These two highly diverse multigene families feature multiple paralogs, making their classification challenging using traditional bioinformatic methods. Results STRIDE (STevor and RIfin iDEntifier) is an HMM-based, command-line program that automates the identification and classification of RIFIN and STEVOR protein sequences in the malaria parasite Plasmodium falciparum. STRIDE is more sensitive in detecting RIFINs and STEVORs than available PFAM and TIGRFAM tools and reports RIFIN subtypes and the number of sequences with a FHEYDER amino acid motif, which has been associated with severe malaria pathogenesis. Conclusions STRIDE will be beneficial to malaria research groups analyzing genome sequences and transcripts of clinical field isolates, providing insight into parasite biology and virulence.

Details

Language :
English
ISSN :
14712105
Volume :
23
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Bioinformatics
Publication Type :
Academic Journal
Accession number :
edsdoj.36a18d5a84e4f59b695a9c277819f2e
Document Type :
article
Full Text :
https://doi.org/10.1186/s12859-021-04515-8