Skip to content
#protein folding Open access

Towards the construction of a chitin-binding domain BioBrick®: PCR Amplification of the Pseudomonas aeruginosa chiC chitin-binding domain

Oct 2026 · Open Collections
Studies on Chitinases and Chitosanases

Abstract

Historically, the chitin-binding domain (CBD) of the PA01 strain of Pseudomonas aeruginosa, Chitinase C (ChiC), has been employed as a protein tag in purification processes. However, there remains a need for CBD tags with new properties, such as increased temperature stability or binding affinity. The CBD of PAO1 ChiC is a novel CBD showing promise for purification assays as it could have the aforementioned properties. This study aimed to design a gene block of the PAO1 ChiC CBD and insert it into an expression vector to confirm CBD functionality separate from its native protein and its potential as a tag. This gene block was also designed for cloning into a BioBrick® vector, a standardised vector for interchangeable parts. Insertion into a BioBrick® would allow a standardised protocol for tagging proteins with a CBD, through different combinations of BioBrick® parts. Furthermore, because the cysteine residues within the CBDs of other organisms have been critical to proper domain folding, the functional relevance of the sole ChiC CBD cysteine in PAO1 was also explored. To do this, a second gene block was designed with the substitution of alanine for cysteine. This study describes the experimental design for cloning a CBD-encoded gene block into a pET-28a(+) plasmid, evaluating its functional activity using a chitin-binding assay and then cloning the gene block upon functional activity verification into a BioBrick®. In this study, we were able to design these gene constructs and experimentally showed two primers that could amplify the gene construct. These findings have promising implications for the future as the gene constructs could be inserted into a vector. There are then implications for researchers to use this CBD in the assembly of unique protein sequences which could have applications in producing chitin-based materials for use in biomedicine and agriculture.

View source

Similar papers

#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Book Open access Jul 2015

Understanding the affect of developers: theoretical background and guidelines for psychoempirical software engineering

This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.

D. Graziotin, Xiaofeng Wang, P. Abrahamsson · 56 citations · ⚡4
#machine learning Open access May 2017

What Influences the Speed of Prototyping? An Empirical Investigation of Twenty Software Startups

This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.

Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson · 44 citations · ⚡5
#protein folding Open access Sep 2026

Programmable design of functional proteins from natural language

Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...

Fengyuan Dai, Shiyang You, Yudian Zhu et al. · 31 citations · ⚡3

Related blog posts

Google DeepMind Blog Sep 30, 2026

Introducing SynthID Bio

Proof of concept for watermarking AI-generated proteins while preserving biological function.

MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.