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Integrated Core Proteomics, Subtractive Proteomics, and Immunoinformatics Investigation to Unveil a Potential Multi-Epitope Vaccine against Schistosomiasis.

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TLDR
In this paper, the authors combined core proteomics with a subtractive proteomics pipeline to identify suitable antigenic proteins for the construction of a multi-epitope vaccine (MEV) against human-infecting Schistosoma species.
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This article is published in Vaccine.The article was published on 2021-06-16 and is currently open access. It has received 26 citations till now. The article focuses on the topics: Epitope & Schistosoma mansoni.

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Targeting cancer signaling pathways by natural products: Exploring promising anti-cancer agents.

TL;DR: In this article , a review explores the significance of natural products in inhibiting the various signaling pathways that serve as drivers of carcinogenesis and thus pave the way for developing and discovering anticancer drugs.
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Pan-vaccinomics approach towards a universal vaccine candidate against WHO priority pathogens to address growing global antibiotic resistance.

TL;DR: In this article, the authors used pan-genomics, subtractive proteomics, reverse vaccinology, immunoinformatics, molecular docking and dynamics simulation studies to identify a universal potential vaccine candidate against the 18 multi-drug resistance (MDRs) bacterial pathogenic species from a WHO priority list.
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Designing a Recombinant Vaccine against Providencia rettgeri Using Immunoinformatics Approach

TL;DR: Findings of the current study are promising and may help experimental vaccinologists to formulate a novel multi-epitope vaccine against P. rettgeri, a major cause of traveler’s diarrhea.
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Designing of a Recombinant Multi-Epitopes Based Vaccine against Enterococcus mundtii Using Bioinformatics and Immunoinformatics Approaches

TL;DR: A multi-epitope-based vaccine against E. mundtii is designed using in silico approaches and blind docking with immune cell receptors, followed by molecular dynamic simulation results confirms the good binding potency and stability of the vaccine in providing protection against the pathogen.
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Designing a Multi-Epitope Vaccine against Chlamydia trachomatis by Employing Integrated Core Proteomics, Immuno-Informatics and In Silico Approaches

TL;DR: In this article, the authors used core proteomics, immuno-informatics, and subtractive proteomics approaches to identify the best antigenic candidates for the development of a multi-epitope-based vaccine (MEBV).
References
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Journal ArticleDOI

Basic Local Alignment Search Tool

TL;DR: A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score.
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Molecular dynamics with coupling to an external bath.

TL;DR: In this paper, a method is described to realize coupling to an external bath with constant temperature or pressure with adjustable time constants for the coupling, which can be easily extendable to other variables and to gradients, and can be applied also to polyatomic molecules involving internal constraints.
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PROCHECK: a program to check the stereochemical quality of protein structures

TL;DR: The PROCHECK suite of programs as mentioned in this paper provides a detailed check on the stereochemistry of a protein structure and provides an assessment of the overall quality of the structure as compared with well refined structures of the same resolution.
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Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes

TL;DR: A new membrane protein topology prediction method, TMHMM, based on a hidden Markov model is described and validated, and it is discovered that proteins with N(in)-C(in) topologies are strongly preferred in all examined organisms, except Caenorhabditis elegans, where the large number of 7TM receptors increases the counts for N(out)-C-in topologies.
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I-TASSER server for protein 3D structure prediction.

TL;DR: The I-TASSER server has been developed to generate automated full-length 3D protein structural predictions where the benchmarked scoring system helps users to obtain quantitative assessments of the I- TASSER models.
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