3D modelling of the pathogenic Leptospira protein LipL32: A bioinformatics approach

Sharmilah Kumari Kumaran, Mohd Faizal Abu Bakar, Hirzahida Mohd-Padil, Shuhaila Mat-Sharani, S. Sakinah, K. Poorani, Hiba Alsaeedy, Amira Peli, Teh Seoh Wei, Mok Pooi Ling, Rukman Awang Hamat, Vasantha Kumari Neela, Akon Higuchi, Abdullah A. Alarfaj, Mariappan Rajan, Giovanni Benelli, Palanisamy Arulselvan, S. Suresh Kumar

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Leptospirosis is a widespread zoonotic disease caused by pathogenic Leptospira species (Leptospiraceae). LipL32 is an abundant lipoprotein from the outer membrane proteins (OMPs) group, highly conserved among pathogenic and intermediate Leptospira species. Several studies used LipL32 as a specific gene to identify the presence of leptospires. This research was aimed to study the characteristics of LipL32 protein gene code, to fill the knowledge gap concerning the most appropriate gene that can be used as antigen to detect the Leptospira. Here, we investigated the features of LipL32 in fourteen Leptospira pathogenic strains based on comparative analyses of their primary, secondary structures and 3D modeling using a bioinformatics approach. Furthermore, the physicochemical properties of LipL32 in different strains were studied, shedding light on the identity of signal peptides, as well as on the secondary and tertiary structure of the LipL32 protein, supported by 3D modelling assays. The results showed that the LipL32 gene was present in all the fourteen pathogenic Leptospira strains used in this study, with limited diversity in terms of sequence conservation, hydrophobic group, hydrophilic group and number of turns (random coil). Overall, these results add basic knowledge to the characteristics of LipL32 protein, contributing to the identification of potential antigen candidates in future research, in order to ensure prompt and reliable detection of pathogenic Leptospira species.

Original languageEnglish
Pages (from-to)433-439
Number of pages7
JournalActa Tropica
Volume176
DOIs
StatePublished - Dec 2017

Keywords

  • 3D modeling
  • Diagnostic
  • Genomics
  • LipL32
  • Pathogenic leptospires
  • Target gene

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