Cellulosic biomass fermentation for biofuel production: Review of artificial intelligence approaches

MH Naveed, MNA Khan, M Mukarram, SR Naqvi… - … and Sustainable Energy …, 2024 - Elsevier
Scarcity in fossil fuel reserves and their environmental impacts has forced the world towards
the production of clean and environment-friendly fuels called biofuels. This review focuses …

Metabolic engineering of microorganisms to produce pyruvate and derived compounds

Q Luo, N Ding, Y Liu, H Zhang, Y Fang, L Yin - Molecules, 2023 - mdpi.com
Pyruvate is a hub of various endogenous metabolic pathways, including glycolysis, TCA
cycle, amino acid, and fatty acid biosynthesis. It has also been used as a precursor for …

Generative artificial intelligence GPT-4 accelerates knowledge mining and machine learning for synthetic biology

Z **ao, W Li, H Moon, GW Roell, Y Chen… - ACS synthetic …, 2023 - ACS Publications
Knowledge mining from synthetic biology journal articles for machine learning (ML)
applications is a labor-intensive process. The development of natural language processing …

A deep learning-aided multi-objective optimization of a downstream process for production of monoclonal antibody products

MN Alam, A Anupa, H Kodamana… - Biochemical Engineering …, 2024 - Elsevier
Monoclonal antibodies (mAbs) have emerged as the dominant class of therapeutic moieties
due to their superior therapeutic potential and safety profile. Downstream processing plays a …

Detecting heterogeneity parameters and hybrid models for precision farming

OJ Ibidoja, FP Shan, J Sulaiman, MKM Ali - Journal of Big Data, 2023 - Springer
Precision farming (PF) plays a crucial role in the field of agriculture to solve the challenges of
food shortages in society. Heterogeneity, multicollinearity, and outliers are problems in PF …

Application of the novel manta-ray foraging algorithm to optimize acidic peptidase production in solid-state fermentation using binary agro-industrial waste

M Ekpenyong, A Asitok, U Ben… - Preparative …, 2024 - Taylor & Francis
Peptidases, which constitute about 20% of the global enzyme market, have found
applications in detergent, food and pharmaceutical industries, and could be produced on a …

Towards AI-designed genomes using a variational autoencoder

NK Dudek, D Precup - Proceedings B, 2024 - royalsocietypublishing.org
Genomes encode elaborate networks of genes whose products must seamlessly interact to
support living organisms. Humans' capacity to understand these biological systems is limited …

Attention-based LSTM Block Model Framework based on static and dynamic variables for modeling fuel ethanol fermentation process

Y Sun, Y Dong, X Yan - Biochemical Engineering Journal, 2023 - Elsevier
In the industrial fuel ethanol process, the initial feed conditions, which are static variables,
and each control operation, which is dynamic variable and is changing during the producing …

Exploring the Impact of Environmental Factors on Fermentation Trends: A Google Trends Analysis from 2020 to 2024

JOO Won, EA CHEON - Journal of Wellbeing Management and …, 2024 - koreascience.kr
Purpose: This study analyzes factors influencing public interest in fermentation using Google
search trends. Specifically, it examines how key elements such as oxygen, temperature …