Research Spaces
Biology Space
Biology Space is a conversational AI environment for genomics, protein research, and biological pathway analysis. Ask questions in plain language — no scripting or bioinformatics expertise required. The AI selects the right tools automatically and returns structured, citable results.
Protein Structure Analysis
Biology Space can retrieve and interpret protein structures, run folding predictions via ESMFold and AlphaFold integrations, and compare structural similarity across variants or species.
Example query
"Predict the folded structure of the BRCA1 RING domain and highlight the zinc-binding residues."
What Wawe returns
A ribbon diagram description, predicted secondary structure summary, residue-level annotation of Cys24, His62, Cys64, Cys39, His41, Cys44, Cys61, Cys64, and a confidence score per region.
Example query
"How does the L858R mutation affect EGFR kinase domain stability?"
What Wawe returns
Structural comparison between wild-type and L858R EGFR, predicted ΔΔG stability change, known clinical significance, and relevant literature references.
Gene Expression Queries
Query gene expression patterns across tissues, conditions, and datasets. Biology Space can interpret differential expression data, identify co-expressed gene clusters, and suggest regulatory hypotheses.
Example query
"Which genes are significantly upregulated in pancreatic ductal adenocarcinoma compared to normal pancreatic tissue?"
What Wawe returns
Ranked gene list with fold-change values, associated pathways (KRAS signalling, TGF-β), and dataset provenance (TCGA, GEO accessions).
Biological Pathway Mapping
Visualise and interrogate signalling and metabolic pathways. Ask about upstream regulators, downstream effectors, cross-talk, and druggable nodes within a pathway of interest.
- ›"Identify druggable nodes in the PI3K/AKT/mTOR pathway"
- ›"Map cross-talk between MAPK and Wnt signalling in colorectal cancer"
- ›"List known inhibitors of the NF-κB pathway with clinical stage"
Literature Synthesis
Biology Space aggregates findings from PubMed, bioRxiv, and curated databases to produce concise summaries grounded in primary sources. Every claim includes a citation.
Example query
"Summarise the current evidence for PCSK9 inhibition as a cancer therapy."
What Wawe returns
A structured summary covering mechanism of action, preclinical evidence, ongoing trials (with NCT numbers), and an assessment of clinical readiness.
Tips for Better Results
- ✓Be specific about the organism — Specify "human EGFR" rather than just "EGFR" for precision.
- ✓Provide UniProt or gene IDs when known — e.g. "TP53 (P04637)" reduces ambiguity for multi-isoform proteins.
- ✓Ask follow-up questions — Each response is context-aware — drill down naturally.
- ✓Request comparisons — "Compare this to the wild-type" or "contrast with Dataset B" works well.