PKU-YUAN-Lab (袁粒课题组-北大深研院)
Official@pku-yuangroup · China
Open codes from YUAN Lab at PKU
Agent Skills by PKU-YUAN-Lab (袁粒课题组-北大深研院)
Showing 25 vetted skills indexed across 1 GitHub repositories.
PKU-YuanGroupfigure-composer
Compose publication-quality multi-panel figures from narrative claims and data references.
PKU-YuanGroupusing-model-endpoint
Infer from a registered model endpoint via its native HTTP API.
PKU-YuanGroupalphafold2
Predict protein structures for monomers and multimers with AlphaFold2.
PKU-YuanGroupsolublempnn
Inverse-fold proteins with the SolubleMPNN model to optimize solubility.
PKU-YuanGroupesmfold2
Predict protein and nucleic acid structures using the ESMFold2 algorithm.
PKU-YuanGroupboltz
Predict protein, nucleic-acid, and small-molecule complex structures with Boltz-2.
PKU-YuanGroupremote-compute-nvidia
Orchestrate GPU computing jobs on NVIDIA NIM microservices.
PKU-YuanGroupremote-compute-ssh
Submit, monitor, and harvest compute jobs on SSH/SLURM hosts.
PKU-YuanGroupligandmpnn
Design ligand-binding proteins with LigandMPNN and output PDB files.
PKU-YuanGrouppdf-explore
Navigate PDFs and extract structured content using pypdfium2 and Python.
PKU-YuanGroupscvi-tools
Automate single-cell RNA-seq batch integration, cell embedding, and differential expression with scVI and scANVI.
PKU-YuanGroupchai1
Predict protein, nucleic-acid, and small-molecule complex structures with Chai-1.
PKU-YuanGroupscgpt
Embed and annotate single-cell expression data with the scGPT foundation model.
PKU-YuanGroupdiffdock
Dock small-molecule ligands into protein pockets with DiffDock-L and rank poses by confidence.
PKU-YuanGroupmineral_spectra_analysis
Preprocess, match, and unmix Raman mineral mixture spectra with NNLS.
PKU-YuanGroupliterature-review
Search Crossref and OpenAlex, verify DOIs, and synthesize research findings.
PKU-YuanGroupindication-dossier
Generate structured therapeutic indication dossiers through a five-phase research workflow.
PKU-YuanGroupfair-esm2
Embed protein sequences with Meta AI's ESM-2 model.
PKU-YuanGrouppaper-narrative
Evaluate and suggest figure improvements in scientific papers using Python and R.
PKU-YuanGroupevo2
Score, embed, and generate DNA sequences with a genomic foundation model.
PKU-YuanGroupexample_stats
Compute descriptive statistics on plain Python number lists.
PKU-YuanGroupborzoi
Predict RNA-seq, CAGE, DNase, and ChIP tracks from DNA sequences.
PKU-YuanGroupopenfold3
Predict 3D structures of proteins, nucleic acids, and ligands with OpenFold3.
PKU-YuanGroupproteinmpnn
Converts PDF documents to clean, structured Markdown.
Frequently Asked Questions About PKU-YUAN-Lab (袁粒课题组-北大深研院)
FAQPage SchemaWhat specific research tasks can be performed using these capabilities?▼
These capabilities enable structural protein prediction, ligand-binding design, single-cell RNA-seq integration, genomic sequence generation, and the synthesis of therapeutic indication dossiers from scientific literature.
Which personas benefit most from these computational biology resources?▼
Computational biologists, structural chemists, and genomic researchers benefit from these resources to accelerate protein design, analyze complex biological datasets, and standardize scientific publication figures.
How are compute jobs managed within this environment?▼
Compute jobs are managed through direct submission to SLURM clusters via SSH or by orchestrating GPU-accelerated tasks on NVIDIA NIM microservices for high-performance model inference.