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 …

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 …

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 …

Molecular machine learning for chemical catalysis: Prospects and challenges

S Singh, RB Sunoj - Accounts of Chemical Research, 2023 - ACS Publications
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 …

In-depth analysis of biocatalysts by microfluidics: An emerging source of data for machine learning

M Vasina, D Kovar, J Damborsky, Y Ding, T Yang… - Biotechnology …, 2023 - Elsevier
Nowadays, the vastly increasing demand for novel biotechnological products is supported
by the continuous development of biocatalytic applications that provide sustainable green …

Advancements in biocatalysis: From computational to metabolic engineering

AZ Khan, M Bilal, T Rasheed, HMN Iqbal - Chinese Journal of Catalysis, 2018 - Elsevier
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 …

Emerging technologies for biocatalysis in the pharmaceutical industry

RD Lewis, SP France, CA Martinez - ACS Catalysis, 2023 - ACS Publications
Biocatalysis is a key technology in the pharmaceutical industry as it can provide efficient and
sustainable catalytic routes toward active pharmaceutical ingredients (APIs). The …

Machine learning in enzyme engineering

S Mazurenko, Z Prokop, J Damborsky - ACS Catalysis, 2019 - ACS Publications
Enzyme engineering plays a central role in developing efficient biocatalysts for
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 …

Current status and emerging frontiers in enzyme engineering: An industrial perspective

OG Ndochinwa, QY Wang, OC Amadi, TN Nwagu… - Heliyon, 2024 - cell.com
Protein engineering mechanisms can be an efficient approach to enhance the biochemical
properties of various biocatalysts. Immobilization of biocatalysts and the introduction of new …