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 …
When bioprocess engineering meets machine learning: A survey from the perspective of automated bioprocess development
N Duong-Trung, S Born, JW Kim… - Biochemical …, 2023 - Elsevier
Abstract Machine learning (ML) is becoming increasingly crucial in many fields of
engineering but has not yet played out its full potential in bioprocess engineering. While …
engineering but has not yet played out its full potential in bioprocess engineering. While …
Risk prediction of diabetes: big data mining with fusion of multifarious physical examination indicators
H Yang, Y Luo, X Ren, M Wu, X He, B Peng, K Deng… - Information …, 2021 - Elsevier
Diabetes is a global epidemic. Long-term exposure to hyperglycemia can cause chronic
damage to various tissues. Thus, early diagnosis of diabetes is crucial. In this study, we …
damage to various tissues. Thus, early diagnosis of diabetes is crucial. In this study, we …
Predicting thermophilic proteins by machine learning
XF Wang, P Gao, YF Liu, HF Li, F Lu - Current Bioinformatics, 2020 - ingentaconnect.com
Background: Thermophilic proteins can maintain good activity under high temperature,
therefore, it is important to study thermophilic proteins for the thermal stability of proteins …
therefore, it is important to study thermophilic proteins for the thermal stability of proteins …
Escherichia coli DNA N-4-methycytosine site prediction accuracy improved by light gradient boosting machine feature selection technology
Recently, several machine-learning-based DNA N-4-methycytosine (4mC) predictors have
been developed to provide deeper insight into the biological functions and mechanisms of …
been developed to provide deeper insight into the biological functions and mechanisms of …
Machine learning and its applications in plant molecular studies
The advent of high-throughput genomic technologies has resulted in the accumulation of
massive amounts of genomic information. However, biologists are challenged with how to …
massive amounts of genomic information. However, biologists are challenged with how to …
Ensemble Learning based Enzyme Family Classification using n-gram Feature
DD Pandya, A Jadeja, S Degadwala… - 2022 6th International …, 2022 - ieeexplore.ieee.org
The human body has a huge variety of enzymes, each of which contributes to the
acceleration of a certain kind of biochemical reaction. The majority of metabolic processes in …
acceleration of a certain kind of biochemical reaction. The majority of metabolic processes in …
6mA-RicePred: A Method for Identifying DNA N 6-Methyladenine Sites in the Rice Genome Based on Feature Fusion
Motivation The biological function of N 6-methyladenine DNA (6mA) in plants is largely
unknown. Rice is one of the most important crops worldwide and is a model species for …
unknown. Rice is one of the most important crops worldwide and is a model species for …
DNC4mC-Deep: Identification and analysis of DNA N4-methylcytosine sites based on different encoding schemes by using deep learning
N4-methylcytosine as one kind of modification of DNA has a critical role which alters genetic
performance such as protein interactions, conformation, stability in DNA as well as the …
performance such as protein interactions, conformation, stability in DNA as well as the …
4mCPred-CNN—prediction of DNA N4-Methylcytosine in the mouse genome using a convolutional neural network
Among DNA modifications, N4-methylcytosine (4mC) is one of the most significant ones, and
it is linked to the development of cell proliferation and gene expression. To know different its …
it is linked to the development of cell proliferation and gene expression. To know different its …