run real instruments.
Twenty tools, each running real logic on your input — protein stability, ADMET screening, trajectory mining, ephys, and cryo-EM triage; five literature/agent tools over the live OpenAlex index and a real awarded-grant corpus (PaperRadar, GrantDraft, MethodsMatcher, ReviewGuard, QuantumBioRAG); a DNA/RNA cluster (RNAStructure folding via ViennaRNA, gRNA-Optimizer, RNA-FM-Embeds); a neuroscience cluster (HH-FitML membrane fits, SpikeFeatures detection); and a gap-research cluster (ProtocolGPT methods structuring, ToxinChannelFinder, CitationGraph). Run one, read the result, and publish it to canon as a citeable, paid-once artifact.
Grounded literature assistant over a research PI's corpus. Resolves the lab on OpenAlex, ingests open-access full text, hybrid dense+BM25 retrieval, answers with citations.
Predict ΔΔG of point mutations; deep-mutational scan a position.
ML structural / disorder / feature analysis from a sequence or UniProt accession.
13 ADMET models over a SMILES library; ranked drug-likeness report.
Mine molecular-dynamics trajectories for conformational structure (demo trajectory until GPU compute lands).
ML over patch-clamp electrophysiology recordings; cell-type signatures.
Triage cryo-EM micrographs for quality (synthetic session until GPU compute lands).
Personalized recent-paper feed. Queries the live OpenAlex index for your topics, ranks by relevance + recency + citation velocity, and explains why each matters to you.
Funder finder + specific-aims drafter, grounded in real awarded NSF grants (research-atlas corpus). Shows who funds your area and drafts aims anchored to actual awards.
Which method answers your question? Mines the recurring methods in the live OpenAlex literature and points you to the Bucket tool that runs it.
Cross-paper consistency check. State a claim; ReviewGuard sorts the OpenAlex literature into supporting vs contradicting, quoting the deciding sentence.
Evidence, not hype. State a quantum-biology claim; QuantumBioRAG scores how strongly the live OpenAlex literature supports it — weighting each paper by overlap, citations, and recency — with a consensus score and the deciding sentences.
RNA secondary-structure prediction via ViennaRNA: MFE dot-bracket structure, free energy, partition-function base-pair probabilities, and a readable helix/loop summary. Fully real thermodynamics.
CRISPR SpCas9 guide design: PAM scan on both strands, transparent on-target efficiency scoring, and a local seed-region off-target risk flag. Ranked, defensible guide table.
RNA → ML embedding. Real RNA-FM language-model representation when its weights are installed; otherwise an honest, reproducible k-mer + structural-feature embedding (mode reported).
Fit passive-membrane (RC) parameters — R, C, τ, V₀ — to a current-clamp trace via scipy least-squares, with fit quality (R²/RMSE). A demo trace with known params verifies recovery.
Detect spikes in a voltage trace (MAD-robust threshold + refractory + alignment) and extract real waveform features — amplitude, width, half-width, firing rate, ISI stats. Demo train has a known spike count.
Methods prose → a structured, runnable protocol. Deterministic rule extraction over a methods knowledge base: ordered steps with timings/temps/volumes, a reagent table, and safety flags. No network, no GPU.
Map a toxin/peptide (name or sequence) to its likely ion-channel targets. Fuses a curated venom-peptide pharmacology KB with live OpenAlex co-occurrence; sequences classified by cysteine framework. Ranked targets, honest confidence, cited exemplars.
Build a paper's local citation neighborhood from the live OpenAlex graph (DOI / OpenAlex ID / title). Surfaces the key related works and ranks them by degree centrality — the most-connected neighbors first.