Yang Zhang
Professor
Develops AI and deep learning methods for protein and RNA structure prediction (I-TASSER), protein design and drug discovery.
Yang Zhang's lab at NUS works on proteins, drugs & materials. 28 papers since 2023, 10 at top venues, mostly NeurIPS and Nature Communications. 12 PhD students and 11 master's students. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 36%
- PhD students
- 12
- MS students
- 11
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 5 papers2026 · T1 1 · collecting
- 11 papers2025 · T1 6
- 4 papers2024 · T1 1
- 8 papers2023 · T1 2
T1 venuesOtherVenues: NeurIPS, Nature Communications, Journal of Chemical Information and Modeling, Nature Methods, Nucleic Acids Research
Research focuspaper titles that use each topic's words
- Proteins, drugs & materials12 papers
- protein12 papers
- structure prediction4 papers
- rna2 papers
- protein design0 papers
Paper list
From the lab homepage.
20265 papers
- Nature Protocols, 21: 517-541A graphic and command line protocol for quick and accurate comparisons of protein and nucleic acid structures with US-align
- Nature Communications (T1)A Paired Sequence Language Model for Protein-Protein Interaction Modeling
- —Advanced Science
- Journal of Molecular BiologyGLASS2: An Updated Database for Comprehensive Experimentally Validated GPCR-ligand Associations
- —PLOS Biology
202511 papers
- —Acta Pharmaceutica Sinica B
- —Digital Discovery
- NeurIPS (T1)EnzyControl: Adding Functional and Substrate-Specific Control for Enzyme Backbone Generation
- NeurIPS (T1)Learning 3D Anisotropic Noise Distributions Improves Molecular Force Field Modeling
- —Nature Biotechnology
- —Nature Machine Intelligence
- —Nature Structural & Molecular Biology, 32: 957-958 (2025)
- NeurIPS (T1)PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs
- Nature Communications (T1)Protein-nucleic acid language model-assisted design of precise and compact adenine base editor
- NeurIPS (T1)ProteinConformers: Benchmark Dataset for Simulating Protein Conformational Landscape Diversity and Plausibility
- NeurIPS (T1)Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling
20244 papers
- Nucleic Acids ResearchBioLiP2: an updated structure database for biologically relevant ligand–protein interactions
- Nature Methods (T1)Improving deep learning protein monomer and complex structure prediction using DeepMSA2 with huge metagenomics data
- Clinical and Translational Medicine, 14: e1689One step forward towards deep-learning protein complex structure prediction by precise multiple sequence alignment construction
- Journal of Chemical Information and ModelingTM-search: An Efficient and Effective Tool for Protein Structure Database Search
20238 papers
- PNAS (T1)De novo protein fold design through sequence-independent fragment assembly simulations
- Environmental Toxicology and Chemistry, 42: 463-474From Protein Sequence to Structure: The Next Frontier in Cross-Species Extrapolation for Chemical Safety Evaluations
- —GPCRs as Therapeutic Targets
- Proteins: Structure, Function, and Bioinformatics, 91: 1684-1703Integrating deep learning, threading alignments, and a multi-MSA strategy for high-quality protein monomer and complex structure prediction in CASP15
- Nature Communications (T1)Integrating end-to-end learning with deep geometrical potentials for ab initio RNA structure prediction
- Journal of Molecular Biology, 435: 168021ModelCIF: An extension of PDBx/mmCIF data representation for computed structure models
- Viruses, 15Molecular and Genetic Characterization of Hepatitis B Virus (HBV) among Saudi Chronically HBV-Infected Individuals
- Journal of Molecular Biology, 435: 167904rMSA: A Sequence Search and Alignment Algorithm to Improve RNA Structure Modeling
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NUSFall 2027
School of Computing PhD in Computer Science
- Round
- Main
- Opens
- —
- GRE
- See program page
- English
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- Fee
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Not yet confirmed for this intake.
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Data
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