Leveraging artificial intelligence in the fight against infectious diseases

F Wong, C de la Fuente-Nunez, JJ Collins - Science, 2023 - science.org
Despite advances in molecular biology, genetics, computation, and medicinal chemistry,
infectious disease remains an ominous threat to public health. Addressing the challenges …

Biotechnological methods to remove microplastics: a review

U Anand, S Dey, E Bontempi, S Ducoli… - Environmental …, 2023 - Springer
Microplastics pollution is major threat to ecosystems and is impacting abiotic and biotic
components. Microplastics are diverse and highly complex contaminants that transport other …

KOBAS-i: intelligent prioritization and exploratory visualization of biological functions for gene enrichment analysis

D Bu, H Luo, P Huo, Z Wang, S Zhang, Z He… - Nucleic acids …, 2021 - academic.oup.com
Gene set enrichment (GSE) analysis plays an essential role in extracting biological insight
from genome-scale experiments. ORA (overrepresentation analysis), FCS (functional class …

PubChem in 2021: new data content and improved web interfaces

S Kim, J Chen, T Cheng, A Gindulyte, J He… - Nucleic acids …, 2021 - academic.oup.com
Abstract PubChem (https://pubchem. ncbi. nlm. nih. gov) is a popular chemical information
resource that serves the scientific community as well as the general public, with millions of …

FlyBase: updates to the Drosophila melanogaster knowledge base

A Larkin, SJ Marygold, G Antonazzo… - Nucleic acids …, 2021 - academic.oup.com
FlyBase (flybase. org) is an essential online database for researchers using Drosophila
melanogaster as a model organism, facilitating access to a diverse array of information that …

The MetaCyc database of metabolic pathways and enzymes-a 2019 update

R Caspi, R Billington, IM Keseler, A Kothari… - Nucleic acids …, 2020 - academic.oup.com
MetaCyc (MetaCyc. org) is a comprehensive reference database of metabolic pathways and
enzymes from all domains of life. It contains 2749 pathways derived from more than 60 000 …

Opportunities and challenges of using metagenomic data to bring uncultured microbes into cultivation

S Liu, CD Moon, N Zheng, S Huws, S Zhao, J Wang - Microbiome, 2022 - Springer
Although there is now an extensive understanding of the diversity of microbial life on earth
through culture-independent metagenomic DNA sequence analyses, the isolation and …

Machine learning for metabolic engineering: A review

CE Lawson, JM Martí, T Radivojevic… - Metabolic …, 2021 - Elsevier
Abstract Machine learning provides researchers a unique opportunity to make metabolic
engineering more predictable. In this review, we offer an introduction to this discipline in …

A metabolic modeling platform for the computation of microbial ecosystems in time and space (COMETS)

I Dukovski, D Bajić, JM Chacón, M Quintin, JCC Vila… - Nature protocols, 2021 - nature.com
Genome-scale stoichiometric modeling of metabolism has become a standard systems
biology tool for modeling cellular physiology and growth. Extensions of this approach are …

Advancing computer-aided drug discovery (CADD) by big data and data-driven machine learning modeling

L Zhao, HL Ciallella, LM Aleksunes, H Zhu - Drug discovery today, 2020 - Elsevier
Highlights•Drug discovery has been advanced to a big data era with a large amount of
public data sources available.•Ten V features (volume, velocity, variety, veracity, validity …