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 …
[HTML][HTML] High-throughput screening, next generation sequencing and machine learning: advanced methods in enzyme engineering
Enzyme engineering is an important biotechnological process capable of generating
tailored biocatalysts for applications in industrial chemical conversion and biopharma …
tailored biocatalysts for applications in industrial chemical conversion and biopharma …
Learning epistasis and residue coevolution patterns: Current trends and future perspectives for advancing enzyme engineering
Engineering proteins and enzymes with the desired functionality has broad applications in
molecular biology, biotechnology, biomedical sciences, health, and medicine. The vastness …
molecular biology, biotechnology, biomedical sciences, health, and medicine. The vastness …
Artificial intelligence aided lipase production and engineering for enzymatic performance improvement
F Ge, G Chen, M Qian, C Xu, J Liu, J Cao… - Journal of Agricultural …, 2023 - ACS Publications
With the development of artificial intelligence (AI), tailoring methods for enzyme engineering
have been widely expanded. Additional protocols based on optimized network models have …
have been widely expanded. Additional protocols based on optimized network models have …
In-depth analysis of biocatalysts by microfluidics: An emerging source of data for machine learning
Nowadays, the vastly increasing demand for novel biotechnological products is supported
by the continuous development of biocatalytic applications that provide sustainable green …
by the continuous development of biocatalytic applications that provide sustainable green …
Learning from Protein Engineering by Deconvolution of Multi‐Mutational Variants
F Hollmann, J Sanchis, MT Reetz - … Chemie International Edition, 2024 - Wiley Online Library
This review analyzes a development in biochemistry, enzymology and biotechnology that
originally came as a surprise. Following the establishment of directed evolution of …
originally came as a surprise. Following the establishment of directed evolution of …
[HTML][HTML] How can we discover developable antibody-based biotherapeutics?
Antibody-based biotherapeutics have emerged as a successful class of pharmaceuticals
despite significant challenges and risks to their discovery and development. This review …
despite significant challenges and risks to their discovery and development. This review …
Machine learning for enzyme engineering, selection and design
R Feehan, D Montezano… - … Engineering, Design and …, 2021 - academic.oup.com
Abstract Machine learning is a useful computational tool for large and complex tasks such as
those in the field of enzyme engineering, selection and design. In this review, we examine …
those in the field of enzyme engineering, selection and design. In this review, we examine …
Computer-aided understanding and engineering of enzymatic selectivity
L Wu, L Qin, Y Nie, Y Xu, YL Zhao - Biotechnology Advances, 2022 - Elsevier
Abstract Enzymes offering chemo-, regio-, and stereoselectivity enable the asymmetric
synthesis of high-value chiral molecules. Unfortunately, the drawback that naturally …
synthesis of high-value chiral molecules. Unfortunately, the drawback that naturally …
Enhanced Sequence-Activity Mapping and Evolution of Artificial Metalloenzymes by Active Learning
Tailored enzymes are crucial for the transition to a sustainable bioeconomy. However,
enzyme engineering is laborious and failure-prone due to its reliance on serendipity. The …
enzyme engineering is laborious and failure-prone due to its reliance on serendipity. The …