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Development of a Candidate Multi-Epitope Subunit Vaccine against Klebsiella aerogenes: Subtractive Proteomics and Immuno-Informatics Approach.

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TLDR
Wang et al. as mentioned in this paper combined immunological approaches with molecular docking approaches for three highly antigenic proteins to design vaccines against Klebsiella aerogenes, and the synthesis of the B-cell, T-cell (CTL and HTL) and IFNγ epitopes of the targeted proteins was performed and most conserved epitopes were chosen for future research studies.
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This article is published in Vaccine.The article was published on 2021-11-22 and is currently open access. It has received 7 citations till now. The article focuses on the topics: Epitope & Immunogenicity.

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Design of a Multi-Epitope Vaccine against Tropheryma whipplei Using Immunoinformatics and Molecular Dynamics Simulation Techniques

TL;DR: The present study aimed to apply modern computational approaches to generate a multi-epitope-based vaccine that expresses antigenic determinants prioritized from the core proteome of two T. whipplei whole proteomes and has a promising potential for eliciting protective and targeted immunogenicity.
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Identification and construction of a multi-epitopes vaccine design against Klebsiella aerogenes: molecular modeling study

TL;DR: In this paper , a reverse vaccinology (RV) was used to identify vaccine candidates based on complete pathogen proteomic information, and the vaccine-receptors complexes unveiled stable dynamics and uniform root mean square deviation (rmsd).
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In-silico design and evaluation of an epitope-based serotype-independent promising vaccine candidate for highly cross-reactive regions of pneumococcal surface protein A

TL;DR: In this paper , the authors proposed a pneumococcal surface protein A (PspA) based vaccine candidate with high immunodominant coverage of B and T-cell epitope truncated domain of each clade focusing on two cross-reactive B and C regions of the PspAs.
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In silico design and immunoinformatics analysis of a universal multi-epitope vaccine against monkeypox virus

TL;DR: In this paper , a multi-epitope vaccine against MPXV was proposed, which consists of 7 CTL, 4 helper T lymphocyte, 4 linear B lymphocyte and 5 LBL epitopes.
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Recent Advances in Vaccine Technology and Design

Rossella Cianci, +1 more
- 01 Apr 2022 - 
TL;DR: If up until three years ago, infectious diseases were a lesser concern when compared to non-communicable diseases in Western countries, the ongoing pandemic has reminded us that things are not so clean-cut.
References
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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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Structure validation by Calpha geometry: phi,psi and Cbeta deviation.

TL;DR: Geometrical validation around the Cα is described, with a new Cβ measure and updated Ramachandran plot, and Favored and allowed ϕ,ψ regions are also defined for Pro, pre‐Pro, and Gly (important because Gly ϕ‐ψ angles are more permissive but less accurately determined).
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The HADDOCK2.2 Web Server: User-Friendly Integrative Modeling of Biomolecular Complexes.

TL;DR: The updated version 2.2.2 of the HADDOCK portal is presented, which offers new features such as support for mixed molecule types, additional experimental restraints and improved protocols, all of this in a user-friendly interface.
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CD4 T cells: fates, functions, and faults

TL;DR: Much of what is known about the 4 CD4 T-cell subsets is summarized, including the history of their discovery, their unique cytokine products and related functions, their distinctive expression of cell surface receptors and their characteristic transcription factors, the regulation of their fate determination, and the consequences of their abnormal activation.
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VaxiJen: a server for prediction of protective antigens, tumour antigens and subunit vaccines

TL;DR: This work proposes a new alignment-free approach for antigen prediction, which is based on auto cross covariance (ACC) transformation of protein sequences into uniform vectors of principal amino acid properties, and develops VaxiJen, the first server for alignment-independent prediction of protective antigens.