Enabling desert revegetation by AI-tailored soil microbiome fortification
Overview
AI-driven design of soil microbiomes for desert plant restoration; functional metagenomics analysis of arid-zone soil microbiomes.
Period: 2023–2025
Funding
- KAUST Near Term Grand Challenge
— Grant ID:
REI/1/5235-01-01(CoI) — USD 150,000
Team
- Heribert Hirt — PI (KAUST (Center for Desert Agriculture))
- Robert Hoehndorf — CoI (KAUST (Professor of Computer Science))
- Gabriel Wittum — CoI (Goethe University Frankfurt / KAUST)
- Arne Nägel — CoI (Goethe University Frankfurt)
- Rund Tawfiq — PhD (alumnus) (Sano Centre Krakow (Postdoctoral researcher))
Publications acknowledging this project (6)
- (2024) Predicting protein functions using positive-unlabeled ranking with ontology-based priors Supplementary Material
- (2022) Context-based protein function prediction in bacterial genomes
- (2022) INDIGENA: inductive prediction of disease--gene associations using phenotype ontologies Supplementary Material
- (2022) Large-Scale Knowledge Integration for Enhanced Molecular Property Prediction
- (2020) PAVS: A database of phenotype-associated variants in Saudi Arabia
- (2018) Ontology Embedding: A Survey of Methods, Applications and Resources
Topics: Microbial communities, Neuro-symbolic AI, Protein function