logo
Loading...
Biocatalysed synthesis planning using data-driven learning

Biology

Biocatalysed synthesis planning using data-driven learning

D. Probst, M. Manica, et al.

This paper introduces cutting-edge forward and backward prediction models utilizing the Molecular Transformer, designed specifically to tackle the complexities of predicting enzymatic activity and enzyme selectivity on substrates that have not yet been reported. Conducted by Daniel Probst, Matteo Manica, Yves Gaetan Nana Teukam, Alessandro Castrogiovanni, Federico Paratore, and Teodoro Laino, the research employs the newly compiled ECREACT dataset and provides unprecedented accuracy in enzyme-catalysed reaction predictions.... show more
Citation Metrics
Citations
131
Influential Citations
12
Reference Count
45
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Related Publications

Explore these studies to deepen your understanding of the subject.

Reliability of Supervised Machine Learning Using Synthetic Data in Health Care: Model to Preserve Privacy for Data Sharing
Computer Science

Reliability of Supervised Machine Learning Using Synthetic Data in Health Care: Model to Preserve Privacy for Data Sharing

D. Rankin, M. Black, et al.

Automated classification of big X-ray diffraction data using deep learning models
Engineering and Technology

Automated classification of big X-ray diffraction data using deep learning models

J. E. Salgado, S. Lerman, et al.

Self-supervised learning for human activity recognition using 700,000 person-days of wearable data
Computer Science

Self-supervised learning for human activity recognition using 700,000 person-days of wearable data

H. Yuan, S. Chan, et al.

Improved Fault Classification and Localization in Power Transmission Networks Using VAE-Generated Synthetic Data and Machine Learning Algorithms
Engineering and Technology

Improved Fault Classification and Localization in Power Transmission Networks Using VAE-Generated Synthetic Data and Machine Learning Algorithms

M. A. Khan, B. Asad, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny