Addressing uncertainty in genome-scale metabolic model reconstruction and analysis

DB Bernstein, S Sulheim, E Almaas, D Segrè - Genome Biology, 2021 - Springer
The reconstruction and analysis of genome-scale metabolic models constitutes a powerful
systems biology approach, with applications ranging from basic understanding of genotype …

[HTML][HTML] Toward modeling metabolic state from single-cell transcriptomics

K Hrovatin, DS Fischer, FJ Theis - Molecular Metabolism, 2022 - Elsevier
Background Single-cell metabolic studies bring new insights into cellular function, which can
often not be captured on other omics layers. Metabolic information has wide applicability …

Pathway analysis in metabolomics: Recommendations for the use of over-representation analysis

C Wieder, C Frainay, N Poupin… - PLoS computational …, 2021 - journals.plos.org
Over-representation analysis (ORA) is one of the commonest pathway analysis approaches
used for the functional interpretation of metabolomics datasets. Despite the widespread use …

Single sample pathway analysis in metabolomics: performance evaluation and application

C Wieder, RPJ Lai, TMD Ebbels - BMC bioinformatics, 2022 - Springer
Background Single sample pathway analysis (ssPA) transforms molecular level omics data
to the pathway level, enabling the discovery of patient-specific pathway signatures …

Metabolic Flux Modeling in Marine Ecosystems

H Scott, D Segrè - Annual Review of Marine Science, 2024 - annualreviews.org
Ocean metabolism constitutes a complex, multiscale ensemble of biochemical reaction
networks harbored within and between the boundaries of a myriad of organisms. Gaining a …

Consistency, inconsistency, and ambiguity of metabolite names in biochemical databases used for genome-scale metabolic modelling

N Pham, RGA van Heck, JCJ van Dam, PJ Schaap… - Metabolites, 2019 - mdpi.com
Genome-scale metabolic models (GEMs) are manually curated repositories describing the
metabolic capabilities of an organism. GEMs have been successfully used in different …

Recent applications of bioinformatics in target identification and drug discovery for Alzheimer's disease

SK Singh, A Kumar, RB Singh, P Ghosh… - Current topics in …, 2022 - benthamdirect.com
Alzheimer's disease (AD) is a complex multifactorial neurodegenerative disease
characterized by progressive memory loss. The main pathological features of the disease …

Molecular Docking in Drug Designing and Metabolism

S Saikia, M Puzari, P Chetia - Industrial Microbiology and Biotechnology …, 2023 - Springer
The traditional drug discovery methods and analysis of drug target interactions and
physiological responses through biological experiments are expensive and time-consuming …

Single-cell genomic profile-based analysis of tissue differentiation in colorectal cancer

H Jiang, H Zhang, X Zhang - Science China Life Sciences, 2021 - Springer
Colorectal cancer (CRC) progression is associated with cancer cell dedifferentiation and
sternness acquisition. Several methods have been developed to identify sternness …

In Silico Characterization of Natural Products in Plants

H Mahto, D Mahato - Biosynthesis of Natural Products in Plants …, 2024 - Springer
The study of natural products in plants has been revolutionized by “in silico” approaches,
combining advanced computational methods with traditional botanical study. This …