Design of a polytopic construct of LACK, TSA and GP63 proteins for the diagnosis of cutaneous leishmaniasis: An in silico strategy

Arab-Mazar, Zahra; Mohebali, Mehdi; Ranjbar, Mohammad Mehdi; Tabaei, Seyyed Javad Seyyed; Mamaghani, Amirreza Javadi; Taghipour, Niloofar

doi:10.1016/j.aspen.2022.101982

Cited by 2 publications

(1 citation statement)

References 47 publications

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“…In a study by Arab-Mazar et al ( 2022) 45 , immunogenic B-cell epitopes were identified based on the amino acid sequences of the GP63, LACK, and TSA proteins of L. major, using ABCpred and Bepipred Linear Epitope Prediction. The results showed L. major'sintegrated recombinant GP63, LACK, and TSA multiepitope antigens could be important components for constructing a viable diagnostic ELISA sandwich test for Cutaneous Leishmaniasis antigen detection.…”

Section: Immunoinformaticsin Silico Approaches For the Selection Of A...mentioning

confidence: 99%

The use of bioinformatics tools to improve current Leishmaniasis diagnostic methods: A review.

Costa,

Pereira,

SILVA

et al. 2023

Preprint

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Significant populations in tropical and sub-tropical locations all over the world are severely impacted by a group of neglected tropical diseases called leishmaniasis. This disease is caused by roughly 20 species of the protozoan parasite from the Leishmania genus. Disease prevention strategies that include early detection, vector control, treatment of affected individuals, and vaccination are all essential. The diagnosis is critical for selecting methods of therapy, preventing transmission of the disease, and minimizing symptoms so that the affected individual can have a better quality of life. Nevertheless, the diagnostic methods do eventually have limitations, and there is no established gold standard. Some disadvantages include the existence of cross-reactions with other species, limited sensitivity and specificity, which are mostly determined by the type of antigen used to perform the tests. A viable alternative for a more precise diagnosis is the application of recombinant antigens, which have been generated using bioinformatics approaches and have shown increased diagnostic accuracy. As a result, identifying potential new antigens using bioinformatics resources becomes an effective technique, since it may result in an earlier and more accurate diagnosis. The purpose of this review is to evaluate the efficacy of in silico approaches for selecting recombinant antigens for leishmaniasis diagnosis.

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Section: Immunoinformaticsin Silico Approaches For the Selection Of A...mentioning

confidence: 99%

The use of bioinformatics tools to improve current Leishmaniasis diagnostic methods: A review.

Costa,

Pereira,

SILVA

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

High-resolution mapping of linear epitopes from LiNTPDase2: Advancing leishmaniasis detection using optimized protein and peptide antigens

Castro,

Badaró de Moraes,

de Souza

et al. 2024

Diagnostic Microbiology and Infectious Disease

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Design of a polytopic construct of LACK, TSA and GP63 proteins for the diagnosis of cutaneous leishmaniasis: An in silico strategy

Cited by 2 publications

References 47 publications

The use of bioinformatics tools to improve current Leishmaniasis diagnostic methods: A review.

The use of bioinformatics tools to improve current Leishmaniasis diagnostic methods: A review.

High-resolution mapping of linear epitopes from LiNTPDase2: Advancing leishmaniasis detection using optimized protein and peptide antigens

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