Improving the performance of machine learning models for biotechnology: The quest for deus ex machina

F Mey, J Clauwaert, K Van Huffel, W Waegeman… - Biotechnology …, 2021 - Elsevier
Abstract Machine learning is becoming an integral part of the Design-Build-Test-Learn cycle
in biotechnology. Machine learning models learn from collected datasets such as omics data …

[HTML][HTML] New trends in bioremediation technologies toward environment-friendly society: a mini-review

K Dutta, S Shityakov, I Khalifa - Frontiers in Bioengineering and …, 2021 - frontiersin.org
Today's environmental balance has been compromised by the unreasonable and
sometimes dangerous actions committed by humans to maintain their dominance over the …

AI-assisted food enzymes design and engineering: A critical review

X Wang, P Yang, B Zhao, S Liu - Systems Microbiology and …, 2023 - Springer
Food enzymes are basic components used for food processing. Through catalysis, food
enzymes can function as removing allergy, enriching absorbable nutrients, improving food …

[HTML][HTML] An explainability framework for deep learning on chemical reactions exemplified by enzyme-catalysed reaction classification

D Probst - Journal of Cheminformatics, 2023 - Springer
Assigning or proposing a catalysing enzyme given a chemical or biochemical reaction is of
great interest to life sciences and chemistry alike. The exploration and design of metabolic …

人工智能辅助的蛋白质工程

卞佳豪, 杨广宇 - 合成生物学, 2022 - synbioj.cip.com.cn
蛋白质工程是合成生物学领域的重要研究方向之一. 但目前人类对于蛋白质折叠,
酶天然进化机制等基础生物学问题的理解仍很有限, 因此基于理性设计方法进行蛋白质的功能 …

Enzyme promiscuity prediction using hierarchy-informed multi-label classification

GM Visani, MC Hughes, S Hassoun - Bioinformatics, 2021 - academic.oup.com
Motivation As experimental efforts are costly and time consuming, computational
characterization of enzyme capabilities is an attractive alternative. We present and evaluate …

Advancing microbial production through artificial intelligence-aided biology

X Gong, J Zhang, Q Gan, Y Teng, J Hou, Y Lyu… - Biotechnology …, 2024 - Elsevier
Microbial cell factories (MCFs) have been leveraged to construct sustainable platforms for
value-added compound production. To optimize metabolism and reach optimal productivity …

ABLE: Attention based learning for enzyme classification

MV Nallapareddy, R Dwivedula - Computational Biology and Chemistry, 2021 - Elsevier
Classifying proteins into their respective enzyme class is an interesting question for
researchers for a variety of reasons. The open source Protein Data Bank (PDB) contains …

LEGO-CSM: a tool for functional characterization of proteins

TB Nguyen, AGC de Sá, CHM Rodrigues… - …, 2023 - academic.oup.com
Motivation With the development of sequencing techniques, the discovery of new proteins
significantly exceeds the human capacity and resources for experimentally characterizing …

[HTML][HTML] Explainable protein function annotation using local structure embeddings

A Derry, RB Altman - bioRxiv, 2023 - ncbi.nlm.nih.gov
The rapid expansion of protein sequence and structure databases has resulted in a
significant number of proteins with ambiguous or unknown function. While advances in …