protein function

Application of AI in Bioinformatics (2025)

Year: 2025 Code: CS 321 Program: Computer Science Institution: KAUST Role: Instructor Topics: Biomedical informatics, Neuro-symbolic AI, Protein function

Algorithms in Bioinformatics (2020)

Year: 2020 Code: CS 290 Program: Computer Science / Bioengineering Institution: KAUST Role: Instructor Topics: Biomedical informatics, Genomics, Protein function

Algorithms in Bioinformatics (2022)

Year: 2022 Code: CS 249 Program: Computer Science Institution: KAUST Role: Instructor Topics: Biomedical informatics, Genomics, Protein function

Algorithms in Bioinformatics (2025)

Year: 2025 Code: CS 249 Program: Computer Science Institution: KAUST Role: Instructor Topics: Biomedical informatics, Genomics, Protein function

Computational methods for functional metagenomics: from protein functions to multi-scale interactions

Metagenomic sequencing now makes it possible to characterize microbiomes from a wide range of environments, with applications in health, biodiversity, agriculture, and forensics. Most analysis pipelines, however, stop at taxonomic composition or at the level of individual protein families and Gene Ontology functions. Associations between taxa and host phenotypes (for example in colorectal cancer or inflammatory bowel disease) have been reproduced many times, but the mechanisms underlying them, including immunomodulation, host-microbiome metabolite exchange, and direct protein-protein

Evolutionary potential of corals to adapt to climate warming

Genomics and computational analysis of coral adaptation to ocean warming in the Red Sea. Period: 2022–2025 Funding KAUST Competitive Research Grant — Grant ID: URF/1/4697-01-01 (CoI) — USD 150,000 Team Manuel Aranda — PI (KAUST (Marine Science)) Robert Hoehndorf — CoI (KAUST (Professor of Computer Science)) Publications acknowledging this project (14) (2025) Lattice-based $\mathcalALC$ ontology embeddings with saturation (2024) Predicting protein functions using positive-unlabeled ranking with ontology-based priors Supplementary Material (2024) Neuro-symbolic AI in Life Sciences (2023)

Enabling desert revegetation by AI-tailored soil microbiome fortification

Global warming, overgrazing, and urbanisation cause around 12 million hectares of land to be lost in dry regions of the world every year, with about 1.5 billion people depending on land that is being degraded by desertification. Large-scale revegetation projects such as the Great Green Wall in the Sahel have had limited success — in some areas about 80% of planted trees died once irrigation was stopped — largely because they ignored the properties of desert soils, indigenous seed and rootstock material, and the microbial communities that desert plants depend on for nitrogen, phosphate, and

Meet KAUST prospective student: Juexiao Zhou

3 min read ·
Juexiao Zhou is a 21-year-old graduate from Shenzhen, China, who will join KAUST in the fall of 2020 as an M.S./Ph.D. candidate and member of the KAUST Structural and Functional Bioinformatics research group under the supervision of Professor Xin Gao.