Discovery of alkaline laccases from basidiomycete fungi through machine learning-based approach DOI Creative Commons
Xing Wan, Sazzad Shahrear,

Shea Wen Chew

et al.

Biotechnology for Biofuels and Bioproducts, Journal Year: 2024, Volume and Issue: 17(1)

Published: Sept. 11, 2024

Language: Английский

Accelerating the implementation of biocatalysis in pharmaceutical research and development portfolio DOI Creative Commons

Alain Rabion,

Davide Panigada,

Sébastien Roy

et al.

Comptes Rendus Chimie, Journal Year: 2025, Volume and Issue: 28(G1), P. 507 - 520

Published: May 16, 2025

Biocatalysis is widely regarded as a sustainable technology to innovate Active Pharmaceutical Ingredient (API) synthesis. Biotransformation considered unique in the drug manufacturing world unlock synthetic routes complex chiral motifs. Sanofi accelerating development of strong mindset and efficient capabilities biocatalysis foster API delivery promote greener solutions for its processes. In this article, we will describe how building internal biocatalytic order address new challenges related sustainability growing complexity portfolio. The outcomes recent studies be presented demonstrating successful implementation across early late-stage our pipeline assets.

Language: Английский

Citations

0
Machine learning meets enzyme engineering: examples in the design of polyethylene terephthalate hydrolases DOI

Rohan Ali,

Yifei Zhang

Frontiers of Chemical Science and Engineering, Journal Year: 2024, Volume and Issue: 18(12)

Published: Sept. 10, 2024

Language: Английский

Citations

3
Application of artificial intelligence and red-tailed hawk optimzation for boosting biohydrogen production from microalgae DOI Creative Commons
Hegazy Rezk, Ali Alahmer, A.G. Olabi

et al.

International Journal of Thermofluids, Journal Year: 2024, Volume and Issue: unknown, P. 100876 - 100876

Published: Sept. 1, 2024

Language: Английский

Citations

3
Revolutionizing biocatalysis: A review on innovative design and applications of enzyme-immobilized microfluidic devices DOI
Pravin D. Patil,

Niharika Gargate,

Khushi Dongarsane

et al.

International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: unknown, P. 136193 - 136193

Published: Oct. 1, 2024

Language: Английский

Citations

3
Interpretable and explainable predictive machine learning models for data-driven protein engineering DOI Creative Commons
David Medina-Ortiz, Ashkan Khalifeh, Hoda Anvari-Kazemabad

et al.

Biotechnology Advances, Journal Year: 2024, Volume and Issue: 79, P. 108495 - 108495

Published: Dec. 5, 2024

Protein engineering through directed evolution and (semi)rational design has become a powerful approach for optimizing enhancing proteins with desired properties. The integration of artificial intelligence methods further accelerated protein process by enabling the development predictive models based on data-driven strategies. However, lack interpretability transparency in these limits their trustworthiness applicability real-world scenarios. Explainable Artificial Intelligence addresses challenges providing insights into decision-making processes machine learning models, reliability interpretability. strategies been successfully applied various biotechnology fields, including drug discovery, genomics, medicine, yet its application remains underexplored. incorporation explainable holds significant potential, as it can guide revealing how function, benefiting approaches such learning-assisted evolution. This perspective work explores principles methodologies intelligence, highlighting relevance potential to enhance design. Additionally, three theoretical pipelines integrating are proposed, focusing advantages, disadvantages, technical requirements. Finally, remaining future directions support tool traditional discussed.

Language: Английский

Citations

2
Enzymes from Fishery and Aquaculture Waste: Research Trends in the Era of Artificial Intelligence and Circular Bio-Economy DOI Creative Commons
Zied Khiari

Marine Drugs, Journal Year: 2024, Volume and Issue: 22(9), P. 411 - 411

Published: Sept. 10, 2024

In the era of blue bio-economy, which promotes sustainable utilization and exploitation marine resources for economic growth development, fisheries aquaculture industries still face huge sustainability issues. One major challenges these is associated with generation management wastes, pose a serious threat to human health environment if not properly treated. best-case scenario, fishery waste processed into low-value commodities such as fishmeal fish oil. However, this renewable organic biomass contains number highly valuable bioproducts, including enzymes, bioactive peptides, well functional proteins polysaccharides. Marine-derived enzymes are known have unique physical, chemical catalytic characteristics reported be superior those from plant animal origins. Moreover, it has been established that species possess cold-adapted properties, makes them interesting technological, points view. Therefore, review centers around waste, special focus on proteases, lipases, carbohydrases, chitinases transglutaminases. Additionally, use substrate production industrially relevant microbial discussed. The application emerging technologies (i.e., artificial intelligence machine learning) in enzyme also presented.

Language: Английский

Citations

1
Artificial intelligence in plastic recycling and conversion: A review DOI
Yi Fang,

Yuming Wen,

Leilei Dai

et al.

Resources Conservation and Recycling, Journal Year: 2024, Volume and Issue: 215, P. 108090 - 108090

Published: Dec. 18, 2024

Language: Английский

Citations

1
Discovery of alkaline laccases from basidiomycete fungi through machine learning-based approach DOI Creative Commons
Xing Wan, Sazzad Shahrear,

Shea Wen Chew

et al.

Biotechnology for Biofuels and Bioproducts, Journal Year: 2024, Volume and Issue: 17(1)

Published: Sept. 11, 2024

Language: Английский

Citations

0