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