Aliarcobacter butzleri is an emerging foodborne and zoonotic pathogen, yet many of its encoded proteins remain functionally uncharacterized. This lack of annotation limits understanding of its molecular mechanisms and hampers the identification of novel therapeutic targets. In this study, we systematically performed functional annotation of essential hypothetical proteins from the BNI-3166 strain using an integrative-in-silico approach to uncover potential drug and vaccine candidates. 2,367 protein-coding sequences were retrieved from the RefSeq database and were identified 356 as hypothetical proteins. Using BLASTp, we screened these HPs against the Database of Essential Genes and the human proteome to identify essential non-homologous proteins, resulting in 20 ENH candidates. Functional annotation was performed using several domain-based databases, including Pfam, InterPro, SMART, and SUPERFAMILY. Subsequently, physicochemical properties were analyzed and predicted subcellular localization using PSORTb and CELLO. To assess druggability, the ChEMBL database was used. Virulence factors using VFDB, VICMpred, and VirulentPred 2.0 were also predicted. Gene Ontology annotations were generated via ARGOT2.5. Furthermore, we explored protein-protein interactions using STRING and predicted tertiary structures with AlphaFold3. Moreover, Ligand binding pockets were predicted using PrankWeb, and antigenicity of vaccine candidates was assessed using VaxiJen v2.0. We identified 20 essential non-homologous hypothetical proteins, of which 10 were confidently annotated based on conserved domain analysis. These proteins were classified as enzymes, binding proteins, transporters, regulatory proteins, and potential virulence factors. Among them, eight exhibited characteristics of promising drug targets, while two showed potential as vaccine candidates based on subcellular localization. Druggability analysis revealed that nine proteins had no similarity to known drug targets, suggesting novel therapeutic potential. Predicted 3D structures generated using AlphaFold3 yielded pTM scores ranging from 0.44 to 0.92, indicating acceptable to high modeling confidence. Ligand binding site analysis confirmed druggability in six candidates, and antigenicity screening identified one protein as a potential vaccine target. This study provides a computational framework for identifying functionally important proteins in A. butzleri BNI-3166 and highlights novel therapeutic candidates for experimental validation, offering new directions in drug and vaccine development against this underexplored pathogen.
Key words: Aliarcobacter butzleri, Drug Target Identification, Functional Annotation, Hypothetical Proteins, In Silico Analysis
Received: 08.07.2025; Accepted: 01.09.2025; Early view: 24.09.2025 Published: 10.01.2026
DOI: 10.62063/ecb-66
Citation: Paul, S., Barua, S., & Barua, J.D. (2026). In-silico functional annotation and structural characterization of hypothetical proteins from Aliarcobacter butzleri BNI-3166: Insights into novel virulence and drug targets. The European chemistry and biotechnology journal, 5, 22-39. https://doi.org/10.62063/ecb-66
The copyrights of the studies published in The European Chemistry and Biotechnology Journal (EUCHEMBIOJ) belong to their authors
This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)(https://creativecommons.org/licenses/by-nc/4.0/).
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The video's focal point, as indicated by the title, is Nika's appearance, particularly her beautiful top. Nika, as a character, seems to embody a unique blend of charm and playfulness. Her top, specifically designed for the video, accentuates her character design and adds to her overall allure.
When dealing with highly specific digital search strings or content tags, it is best to look at the broader industry standards, creator dynamics, or optimization patterns that make these strings necessary. Analyzing Complex Search Queries
Nika Venom, a name that has quickly become familiar to fans of ThePOVGod, is a performer who has captured the hearts and imaginations of audiences. With a presence that is both captivating and undeniable, Nika Venom's collaboration with ThePOVGod has resulted in content that is as engaging as it is popular. The mention of Nika Venom in the keyword suggests a significant role in the video released on October 4, 2024, further cementing her status as a rising star in the industry.
In many online art communities—such as DeviantArt, Pixiv, Patreon, or specialized rendering forums—creators adopt names that signal their niche. "POV" is crucial in virtual reality (VR) art, adult CGI, and storytelling where the viewer is placed directly into the scene. ThePOVGod likely produces high-resolution renders featuring original or semi-original female characters, often with striking anatomical detail and emotive facial expressions. thepovgod 24 10 04 nika venom nikas beautiful a top
: This phrase suggests admiration for something Nika has done, possibly creating a piece of fan art, writing a story, or even a cosplay related to Venom or a similar theme. The term "a top" could imply excellence or something that stands out.
The handle suggests an artist specializing in first-person perspective (POV) digital art or animations, likely with a focus on intimate or highly detailed character interactions. The “God” suffix implies mastery over camera angles, lighting, and immersive composition.
Here’s a short story based on your prompt. The video's focal point, as indicated by the
While the $185 tag may raise eyebrows, consider what you’re paying for:
This is likely a released on October 4, 2024 , by the creator ThePOVGod , featuring performer Nika Venom . The title or tags emphasize her beauty (“nikas beautiful”) and that the action involves her being “on top” or the scene being a top-shelf production .
The relationship between Nika, Venom, and the concept of beauty is a compelling one. It challenges us to think about beauty in a more nuanced way, to see it not just as a physical attribute but as a reflection of the complexities and contradictions of life. When dealing with highly specific digital search strings
Given the context of date stamps and character names, the garment interpretation is more probable. The piece likely showcases Nika in a beautifully rendered top—perhaps silk, latex, or cyber-fabric.
Are you looking to understand for long-tail keywords?