AIMC Topic: Protein Engineering

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Strategies to improve photosynthesis by modifying the RuBisCO system and its limitations.

Molecular biology reports
RuBisCO (Ribulose-1,5-bisphosphate carboxylase/oxygenase) is the primary enzyme responsible for carbon fixation in the Calvin-Benson-Bassham cycle, yet it remains one of the most inefficient enzymes in nature. Its slow catalytic rate, low specificity...

Computer-Aided Techniques in the Engineering of Enzyme Binding Pockets: New Perspectives and Frontiers.

Journal of agricultural and food chemistry
Enzymes, recognized for their remarkable catalytic efficiency, play a crucial role in a myriad of biochemical reactions. However, the catalytic performance of natural enzymes frequently does not meet the demands of specific applications. To address t...

A computational pipeline for predicting distal hotspots in an artificial enzyme.

International journal of biological macromolecules
Targeting distal mutations holds promising implications for enzyme engineering. Here, we present an open-source computational workflow designed to explore the functional impact of distal sites, demonstrated on an artificial enzyme built on the widely...

Machine learning-guided evolution of pyrrolysyl-tRNA synthetase for improved incorporation efficiency of diverse noncanonical amino acids.

Nature communications
The pyrrolysyl-tRNA synthetase (PylRS) is widely used to incorporate noncanonical amino acids (ncAAs) into proteins. However, the yields of most ncAA-containing protein  remain low due to the limited activity of PylRS variants. Here, we apply machine...

Artificial intelligence-driven computational methods for antibody design and optimization.

mAbs
Antibodies play a crucial role in our immune system. Their ability to bind to and neutralize pathogens opens opportunities to develop antibodies for therapeutic and diagnostic use. Computational methods capable of designing antibodies for a target an...

Computational protein design: Advancing biotechnology through in silico engineering.

Progress in biophysics and molecular biology
Currently, computational protein design (CPD) is a disruptive force in biotechnology, changing the paradigm by which proteins are engineered for many applications. In this article, the evolution of CPD has been tracked from its initial forays in the ...

Tuning antibody stability and function by rational designs of framework mutations.

mAbs
Artificial intelligence and machine learning models have been developed to engineer antibodies for specific recognition of antigens. These approaches, however, often focus on the antibody complementarity-determining region (CDR) whilst ignoring the i...

Modification and applications of glucose oxidase: optimization strategies and high-throughput screening technologies.

World journal of microbiology & biotechnology
Glucose oxidase (GOD), an oxidoreductase (EC 1.1.3.4), catalyzes the oxidation of β-D-glucose to gluconic acid using molecular oxygen as the electron acceptor, with concomitant generation of hydrogen peroxide. Owing to its versatile catalytic propert...

In silico design of smaller size enzymatic protein by generative artificial intelligence (ProtGPT2).

Journal of bioscience and bioengineering
The construction of small proteins by removing amino acid subsequences that are not involved in function, activity, or structure is crucial for bioprocessing and drug development. Traditional design methods often focus on reconstructing functional mo...

A generalized platform for artificial intelligence-powered autonomous enzyme engineering.

Nature communications
Proteins are the molecular machines of life with numerous applications in energy, health, and sustainability. However, engineering proteins with desired functions for practical applications remains slow, expensive, and specialist-dependent. Here we r...