2021
DOI: 10.1016/j.imu.2021.100626
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Leishmanolysin gp63: Bioinformatics evidences of immunogenic epitopes in Leishmania major for enhanced vaccine design against zoonotic cutaneous leishmaniasis

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Cited by 15 publications
(7 citation statements)
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“…Based on such findings, it can be speculated that this protein could be a potential vaccine candidate. “From a biochemical standpoint, a protein is represented in four structural levels, comprising (i) amino acid sequences as primary structure, (ii) a native spatial form due to main chain atoms ( α -helix and β -fold) as secondary structure, (iii) potential spatial model as a 3D model or tertiary structure, and (iv) number and position of multifold subunits in a multisubunit collection of a protein as quaternary structure” [ 34 36 ]. In the first step of this study, we characterized general biochemical features of the protein.…”
Section: Discussionmentioning
confidence: 99%
“…Based on such findings, it can be speculated that this protein could be a potential vaccine candidate. “From a biochemical standpoint, a protein is represented in four structural levels, comprising (i) amino acid sequences as primary structure, (ii) a native spatial form due to main chain atoms ( α -helix and β -fold) as secondary structure, (iii) potential spatial model as a 3D model or tertiary structure, and (iv) number and position of multifold subunits in a multisubunit collection of a protein as quaternary structure” [ 34 36 ]. In the first step of this study, we characterized general biochemical features of the protein.…”
Section: Discussionmentioning
confidence: 99%
“…Additionally, we also identified Biopterin Transporter (BT1) overexpression in this stage, which product plays a key role in growth, infectivity and survival in the macrophages (94). In two computational studies, the potential of the GP63 protein from L. major and L. donovani as a vaccine target was demonstrated (95,96). Another study performed by Chowdhury and cols.…”
Section: Discussionmentioning
confidence: 99%
“…A multistep approach was exploited for linear B-cell epitope prediction in NcSRS2. For this aim, a fixed-length prediction (14-mer) with 75% specificity was applied in BCPREDS server ( http://ailab.ist.psu.edu/bcpred/predict.html ), which uses subsequent kernel (SSK) and support vector machine (SVM) techniques [ 44 46 ]. In the next step, cross-validation of the predicted epitopes was accomplished with the outputs of two other web servers, including ABCpred ( http://crdd.osdd.net/raghava/abcpred/ABC_submission ) [ 47 ] and SVMTriP ( http://sysbio.unl.edu/SVMTriP/prediction.php ) [ 48 ].…”
Section: Methodsmentioning
confidence: 99%