Machine learning: a suitable method for biocatalysis
PS Sampaio, P Fernandes - Catalysts, 2023 - mdpi.com
Biocatalysis is currently a workhorse used to produce a wide array of compounds, from bulk
to fine chemicals, in a green and sustainable manner. The success of biocatalysis is largely …
to fine chemicals, in a green and sustainable manner. The success of biocatalysis is largely …
Machine learning for catalysis informatics: recent applications and prospects
T Toyao, Z Maeno, S Takakusagi, T Kamachi… - Acs …, 2019 - ACS Publications
The discovery and development of catalysts and catalytic processes are essential
components to maintaining an ecological balance in the future. Recent revolutions made in …
components to maintaining an ecological balance in the future. Recent revolutions made in …
Machine learning in catalysis, from proposal to practicing
W Yang, TT Fidelis, WH Sun - ACS omega, 2019 - ACS Publications
Recently, machine learning (ML) methods have gained popularity and have performed as
powerfully predictive tools in various areas of academic and industrious activities. In …
powerfully predictive tools in various areas of academic and industrious activities. In …
Molecular machine learning for chemical catalysis: Prospects and challenges
Conspectus In the domain of reaction development, one aims to obtain higher efficacies as
measured in terms of yield and/or selectivities. During the empirical cycles, an admixture of …
measured in terms of yield and/or selectivities. During the empirical cycles, an admixture of …
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 …
Advancements in biocatalysis: From computational to metabolic engineering
Through several waves of technological research and un-matched innovation strategies, bio-
catalysis has been widely used at the industrial level. Because of the value of enzymes …
catalysis has been widely used at the industrial level. Because of the value of enzymes …
Emerging technologies for biocatalysis in the pharmaceutical industry
Biocatalysis is a key technology in the pharmaceutical industry as it can provide efficient and
sustainable catalytic routes toward active pharmaceutical ingredients (APIs). The …
sustainable catalytic routes toward active pharmaceutical ingredients (APIs). The …
Machine learning in enzyme engineering
Enzyme engineering plays a central role in developing efficient biocatalysts for
biotechnology, biomedicine, and life sciences. Apart from classical rational design and …
biotechnology, biomedicine, and life sciences. Apart from classical rational design and …
Accelerating biocatalysis discovery with machine learning: a paradigm shift in enzyme engineering, discovery, and design
B Markus, K Andreas, K Arkadij, L Stefan, O Gustav… - ACS …, 2023 - ACS Publications
Emerging computational tools promise to revolutionize protein engineering for biocatalytic
applications and accelerate the development timelines previously needed to optimize an …
applications and accelerate the development timelines previously needed to optimize an …
Current status and emerging frontiers in enzyme engineering: An industrial perspective
Protein engineering mechanisms can be an efficient approach to enhance the biochemical
properties of various biocatalysts. Immobilization of biocatalysts and the introduction of new …
properties of various biocatalysts. Immobilization of biocatalysts and the introduction of new …