AI-guided computational design of synthetic microbiota for next-generation immunomodulatory applications
Authors:
- Awadh AlanaziAAAwadh Alanazi
- Mohamed N IbrahimMIMohamed N Ibrahim
- Bi Bi Zainab MazhariBMBi Bi Zainab Mazhari
- Khaled AlzhraniKAKhaled Alzhrani
- Wael AlzahraniWAWael Alzahrani
- Eman Fawzy El AzabEAEman Fawzy El Azab
- Osama R ShahinOSOsama R Shahin
Open Access
- 19 August 2026
- journal article
- Published by Elsevier in SLAS Technology
- Vol. 41
Abstract
No abstract availableThis publication has 24 references indexed in Scilit:
- SIMBA-GNN: mechanistic graph learning for microbiome predictionnpj Systems Biology and Applications, 2025
- Advancing biofertilizers: the evolution from single-strain formulations to synthetic microbial communities (SynCom) for sustainable agricultureDiscover Plants, 2025
- DeepMineLys: Deep mining of phage lysins from human microbiomeCell Reports, 2024
- Mucus production, host-microbiome interactions, hormone sensitivity, and innate immune responses modeled in human cervix chipsNature Communications, 2024
- Machine learning-based approaches for cancer prediction using microbiome dataScientific Reports, 2023
- Leveraging pre-trained language models for mining microbiome-disease relationshipsBMC Bioinformatics, 2023
- Combined mechanistic modeling and machine-learning approaches in systems biology – A systematic literature reviewComputer Methods and Programs in Biomedicine, 2023
- Impaired flux of bile acids from the liver to the gut reveals microbiome-immune interactions associated with liver damagenpj Biofilms and Microbiomes, 2023
- The adaptive microbiome hypothesis and immune interactions in amphibian mucusDevelopmental & Comparative Immunology, 2023
- Understanding respiratory microbiome–immune system interactions in health and diseaseScience Translational Medicine, 2023