Task-oriented AI workflows for scientific research. No coding required.
Full drug profile: safety, efficacy & trials
Generate comprehensive drug research reports with compound disambiguation, evidence grading, and clinical trial data.
“Give me a full research report on metformin”
Find new uses for existing drugs
Identify drug repurposing candidates using target-based, compound-based, and disease-driven approaches.
“Find repurposing opportunities for imatinib in Alzheimer's”
Evaluate drug targets computationally
Comprehensive computational validation of drug targets for early-stage drug discovery across multiple evidence dimensions.
“Validate PCSK9 as a drug target for cardiovascular disease”
Virtual screening to find new binders
Discover novel small molecule binders for protein targets using structure-based and ligand-based approaches.
“Find small molecules that bind to the ACE2 receptor”
Predict DDI risks and mechanisms
Comprehensive drug-drug interaction prediction and risk assessment, analyzing interaction mechanisms and clinical severity.
“Check for interactions between warfarin and aspirin”
Safety signals from FDA FAERS data
Detect and analyze adverse drug event signals using FDA FAERS data and disproportionality analysis (PRR, ROR).
“Detect safety signals for statins from FDA FAERS”
Drug safety monitoring & analysis
Analyze drug safety signals from FDA adverse event reports, label warnings, and pharmacogenomic data.
“Analyze safety profile of pembrolizumab across FAERS”
Compound-target-disease network analysis
Construct and analyze compound-target-disease networks for drug repurposing and polypharmacology discovery.
“Build a network pharmacology model for curcumin”
Retrieve compound data from PubChem & ChEMBL
Retrieve chemical compound information from PubChem and ChEMBL with disambiguation and cross-referencing.
“Get chemical properties and bioactivity data for aspirin”
Toxicology & ADMET assessment
Comprehensive chemical safety and toxicology assessment integrating ADMET-AI predictions and CTD toxicogenomics.
“Assess the toxicity and ADMET profile of compound X”
ACMG classification from raw variant calls
Systematic clinical variant interpretation from raw variant calls to ACMG-classified recommendations with supporting evidence.
“Interpret variants in BRCA1 from a VCF file”
VCF processing, annotation & structural variants
Production-ready VCF processing, variant annotation, mutation analysis, and structural variant (SV/CNV) interpretation.
“Annotate and prioritize variants from my tumor WGS VCF”
Compare GWAS studies & assess replication
Compare GWAS studies, perform meta-analyses, and assess replication across cohorts using the NHGRI-EBI GWAS Catalog.
“Find all GWAS studies for type 2 diabetes and compare effect sizes”
Map GWAS traits to causal genes
Discover genes associated with diseases and traits using 500,000+ associations from the GWAS Catalog.
“Which genes are associated with BMI from GWAS?”
Aggregate evidence for GWAS variants
Interpret genetic variants from GWAS studies by aggregating evidence from multiple databases including GWAS Catalog and Open Targets.
“Interpret the functional impact of rs7412 in APOE”
Identify causal variants at GWAS loci
Identify and prioritize causal variants at GWAS loci using statistical fine-mapping and locus-to-gene prediction.
“Fine-map the TCFL2 locus for type 2 diabetes”
Turn GWAS signals into drug targets
Transform GWAS signals into actionable drug targets and repurposing opportunities via locus-to-gene mapping.
“Find druggable targets from schizophrenia GWAS loci”
Build & interpret PRS for complex disease
Build and interpret polygenic risk scores (PRS) for complex diseases using GWAS summary statistics.
“Calculate PRS for coronary artery disease from summary stats”
Clinical SV classification and interpretation
Comprehensive structural variant (SV) analysis for clinical genomics: deletions, duplications, inversions, translocations.
“Classify SVs in a pediatric cancer genome”
Fetch DNA/RNA/protein from NCBI & ENA
Retrieve biological sequences from NCBI and ENA with gene disambiguation and accession type detection.
“Retrieve the human TP53 mRNA sequence from NCBI”
Match patients to clinical trials
AI-driven patient-to-trial matching for precision medicine and oncology based on disease, mutations, and biomarkers.
“Find trials for a BRAF V600E melanoma patient who failed pembrolizumab”
Feasibility & design for new trials
Strategic clinical trial design feasibility assessment: patient population size, endpoints, and competitive landscape.
“Assess feasibility of a phase 2 trial for ALS with gene therapy”
Evidence-based guidelines from 12+ sources
Search and retrieve clinical practice guidelines from NICE, WHO, ADA, and 9 other authoritative sources.
“What are the latest guidelines for managing type 2 diabetes?”
Differential diagnosis from phenotype & genetics
Provide differential diagnosis for patients with suspected rare diseases based on phenotype and genetic data.
“Diagnose a patient with ataxia, neuropathy, and early seizures”
Stratify patients for precision medicine
Comprehensive patient stratification integrating genomic, clinical, and therapeutic data for precision medicine.
“Stratify breast cancer patients by genomic subtype for treatment”
Comprehensive disease intelligence report
Generate comprehensive disease research reports using 100+ ToolUniverse tools across genetics, treatment, and epidemiology.
“Create a full research report on Parkinson's disease”
Pathogen characterization & drug repurposing
Rapid pathogen characterization and drug repurposing analysis for infectious disease outbreaks.
“Characterize influenza H5N1 and find potential antivirals”
Treatment recommendations from tumor profile
Provide actionable treatment recommendations for cancer patients based on molecular profile and tumor mutations.
“What are the best treatment options for EGFR L858R lung cancer?”
Clinical meaning of somatic mutations
Comprehensive clinical interpretation of somatic mutations in cancer with evidence grading and actionable recommendations.
“Interpret BRAF V600E in colorectal cancer”
Predict ICI response from biomarkers
Predict patient response to immune checkpoint inhibitors using multi-biomarker integration (TMB, MSI, PD-L1).
“Predict pembrolizumab response for a NSCLC patient”
Analyze pooled CRISPR functional screens
Comprehensive CRISPR screen analysis for functional genomics — pooled or arrayed screens (knockout, activation, inhibition).
“Analyze a genome-wide CRISPR knockout screen for cancer dependencies”
PDB + AlphaFold structure data
Retrieve protein structure data from RCSB PDB, PDBe, and AlphaFold with quality assessment.
“Get the structure of human ACE2 and its binding sites”
PPI networks from STRING & BioGRID
Analyze protein-protein interaction networks using STRING, BioGRID, and SASBDB databases.
“Map the interaction network of p53 and its key partners”
AI-guided de novo protein design
Design novel protein therapeutics — binders, enzymes, scaffolds — using AI-guided de novo design (RFdiffusion).
“Design a de novo binder for the EGFR active site”
Humanize, optimize & assess antibodies
Comprehensive antibody engineering for therapeutic development: humanization, affinity maturation, developability assessment.
“Humanize a mouse anti-HER2 antibody for clinical use”
9-path biological target assessment
Gather comprehensive biological target intelligence from 9 parallel research paths: protein info, structure, genetic evidence, safety.
“Gather complete biological intelligence on CDK4 as a drug target”
Integrate transcriptomics, proteomics & more
Integrate and analyze multiple omics datasets (transcriptomics, proteomics, epigenomics, genomics, metabolomics).
“Integrate RNA-seq, proteomics, and ATAC-seq for pancreatic cancer”
Differential expression with DESeq2
Production-ready RNA-seq differential expression analysis using PyDESeq2, with normalization and pathway enrichment.
“Run DESeq2 on RNA-seq counts comparing treated vs. control”
scRNA-seq with scanpy & anndata
Production-ready single-cell and expression matrix analysis using scanpy, anndata, and scipy for scRNA-seq workflows.
“Cluster and annotate cell types in a 10x Genomics scRNA-seq dataset”
Map gene expression in tissue sections
Analyze spatial transcriptomics data to map gene expression in tissue architecture (10x Visium, Merfish, Slide-seq).
“Identify spatially variable genes in a tumor microenvironment”
Pathway enrichment with GSEA & PANTHER
Comprehensive gene enrichment and pathway analysis using gseapy (ORA and GSEA), PANTHER, STRING, and Reactome.
“Run pathway enrichment on genes upregulated in NASH”
Fetch omics datasets from ArrayExpress
Retrieve gene expression and omics datasets from ArrayExpress and BioStudies with gene disambiguation.
“Find RNA-seq studies on Alzheimer's disease in ArrayExpress”
MS proteomics: quantification & PTMs
Analyze mass spectrometry proteomics data including protein quantification, differential expression, and post-translational modifications.
“Analyze DDA proteomics data to find differentially expressed proteins”
Metabolite identification & pathway analysis
Analyze metabolomics data including metabolite identification, quantification, and metabolic pathway analysis.
“Identify altered metabolites in serum of obese patients”
Methylation arrays & chromatin analysis
Production-ready genomics and epigenomics data processing: methylation arrays, ATAC-seq, ChIP-seq.
“Analyze EPIC methylation array data for CpG differentially methylated regions”
Multi-omics disease characterization
Comprehensive multi-omics disease characterization integrating genomics, transcriptomics, proteomics, and pathways.
“Characterize colorectal cancer using multi-omics data”
Spatial multi-omics data integration
Computational analysis framework for spatial multi-omics data integration and spatially variable gene analysis.
“Integrate spatial transcriptomics and proteomics for liver tissue”
TCR/BCR repertoire from scRNA-seq
Comprehensive immune repertoire analysis for T-cell and B-cell receptor sequencing data.
“Analyze TCR diversity in a tumor-infiltrating lymphocyte dataset”
Deep academic research with 120+ tools
Comprehensive literature research across any academic domain using 120+ ToolUniverse tools and 20+ databases.
“Review the literature on mRNA vaccines for cancer immunotherapy”
Pathway & network systems analysis
Comprehensive systems biology and pathway analysis using Reactome, KEGG, WikiPathways, and network tools.
“Analyze insulin signaling pathway perturbations in type 2 diabetes”
Regression & biomedical statistics
Perform statistical modeling and regression analysis on biomedical datasets including linear, logistic, and survival analysis.
“Build a Cox proportional hazards model for cancer survival data”
Phylogenetic trees & sequence evolution
Production-ready phylogenetics and sequence analysis for alignment processing, tree analysis, and evolutionary analysis.
“Build a phylogenetic tree for SARS-CoV-2 variants”
Colony morphometry & cell quantification
Production-ready microscopy image analysis and quantitative imaging for colony morphometry and cell counting.
“Count and measure colony sizes in a drug sensitivity plate image”