Machine learning-guided protein engineering
Recent progress in engineering highly promising biocatalysts has increasingly involved
machine learning methods. These methods leverage existing experimental and simulation …
machine learning methods. These methods leverage existing experimental and simulation …
Navigating the landscape of enzyme design: from molecular simulations to machine learning
J Zhou, M Huang - Chemical Society Reviews, 2024 - pubs.rsc.org
Global environmental issues and sustainable development call for new technologies for fine
chemical synthesis and waste valorization. Biocatalysis has attracted great attention as the …
chemical synthesis and waste valorization. Biocatalysis has attracted great attention as the …
Multidisciplinary approaches for enzyme biocatalysis in pharmaceuticals: protein engineering, computational biology, and nanoarchitectonics
Enzyme biocatalysis is reshaping pharmaceutical synthesis, offering sustainable and
efficient pathways for drug discovery and production. This paradigm shift towards eco …
efficient pathways for drug discovery and production. This paradigm shift towards eco …
Biosensor-guided discovery and engineering of metabolic enzymes
A variety of chemicals have been produced through metabolic engineering approaches, and
enhancing biosynthesis performance can be achieved by using enzymes with high catalytic …
enhancing biosynthesis performance can be achieved by using enzymes with high catalytic …
Grasping cryptic binding sites to neutralize drug resistance in the field of anticancer
WC Yang, DH Gong, H Wu, YY Gao, GF Hao - Drug Discovery Today, 2023 - Elsevier
Highlights•Cryptic binding sites against two carcinogenic mechanisms: target mutation and
signaling pathways.•Cryptic binding sites were found in 16 cancer resistance targets, ten of …
signaling pathways.•Cryptic binding sites were found in 16 cancer resistance targets, ten of …
[HTML][HTML] Advancing high-throughput screening systems for synthetic biology and biofoundry
High-throughput (HT) methodologies are extensively applied in synthetic biology for the
rapid enrichment and selection of desired properties from a wide range of genetic diversity …
rapid enrichment and selection of desired properties from a wide range of genetic diversity …
Accelerating enzyme discovery and engineering with high-throughput screening
Covering: up to August 2024 Enzymes play an essential role in synthesizing value-added
chemicals with high specificity and selectivity. Since enzymes utilize substrates derived from …
chemicals with high specificity and selectivity. Since enzymes utilize substrates derived from …
Comprehensive Understanding of Laboratory Evolution for Food Enzymes: From Design to Screening Innovations
J Wu, Z Wang, M Zeng, Z He, Q Chen… - Journal of Agricultural …, 2024 - ACS Publications
In the field of food processing, enzymes play a pivotal role in improving product quality and
flavor, and extending shelf life. However, the exposure of traditional food enzymes to high …
flavor, and extending shelf life. However, the exposure of traditional food enzymes to high …
[HTML][HTML] Interpretable and explainable predictive machine learning models for data-driven protein engineering
Protein engineering through directed evolution and (semi) rational design has become a
powerful approach for optimizing and enhancing proteins with desired properties. The …
powerful approach for optimizing and enhancing proteins with desired properties. The …
Biologicalisation in manufacturing–Current state and future trends
K Wegener, O Damm, S Harst, S Ihlenfeldt, L Monostori… - CIRP Annals, 2023 - Elsevier
Biologicalisation as the convergence of biology, engineering and information technology
offers the prospect of dramatic step change scenarios for future innovative development. A …
offers the prospect of dramatic step change scenarios for future innovative development. A …