Research Articles
Mastering Biomolecular Reconstruction: A Comprehensive Guide to CarveMe for Top-Down Metabolic Models
This tutorial provides a complete, step-by-step guide for researchers, scientists, and drug development professionals to master CarveMe for reconstructing genome-scale metabolic models (GEMs) from annotated genomes using the top-down approach.
A Guide to CarveMe Draft Model Reconstruction and Gap-Filling: From Theory to Practice for Drug Discovery
This comprehensive guide details the CarveMe reconstruction pipeline for generating genome-scale metabolic models (GSMMs), with a specific focus on automated draft model reconstruction and essential gap-filling strategies.
CRISPR/Cas9 Metabolic Engineering: A Comprehensive Guide for Researchers on Precision Genome Editing
This article provides researchers, scientists, and drug development professionals with a detailed framework for applying CRISPR/Cas9 to metabolic engineering.
Dynamic Metabolic Visualization: Integrating COMETS and VisANT for Advanced Network Analysis
This article provides a comprehensive guide to integrating the COnstraint-Based Metabolic and Expression/regulation Task Space (COMETS) simulation platform with the Visual Analysis of Networks (VisANT) visualization tool for dynamic flux...
COBRApy for Enzyme-Constrained Modeling: A Complete Guide to ecFBA Simulations in Python
This comprehensive guide details the use of COBRApy to implement and apply Enzyme-Constrained Flux Balance Analysis (ecFBA) for metabolic modeling.
CLOSEgaps Hypergraph Learning: A Revolutionary AI Framework for Predicting Missing Biochemical Reactions in Drug Discovery
This article presents CLOSEgaps, a novel hypergraph learning framework designed to address the critical challenge of missing reaction data in biomedical knowledge graphs.
CHESHIRE Deep Learning: Revolutionizing Metabolic Gap Prediction for Precision Medicine and Drug Discovery
This article provides a comprehensive analysis of CHESHIRE (Contextual Heterogeneous Subgraph Representation), a novel deep learning framework for predicting metabolic gaps in biological networks.
Beyond Correlation: Using Bland-Altman Analysis to Validate and Compare REE Predictive Equations in Clinical Research
This article provides a comprehensive guide for researchers, scientists, and drug development professionals on applying Bland-Altman analysis to assess the agreement between Resting Energy Expenditure (REE) predictive equations and measured...
Beyond Correlation: A Comprehensive Guide to Bland-Altman Analysis for BMR Measurement Agreement in Clinical Research
This article provides researchers, scientists, and drug development professionals with a complete framework for applying Bland-Altman analysis to evaluate the agreement between different Basal Metabolic Rate (BMR) measurement methods.
Bland-Altman Analysis: Assessing the Agreement Between Mifflin-St Jeor and Indirect Calorimetry in Resting Energy Expenditure
This article provides a comprehensive guide for researchers and clinical scientists on applying Bland-Altman analysis to evaluate the agreement between the predictive Mifflin-St Jeor Equation (MSJE) and the criterion-standard Indirect...