Help & guides
Product docs, the tool catalog, research notes, and validation — clearly separated.
Help Center
How to use the product — setup walkthroughs and answers for getting the most out of NextELN.
- ⭐ Why NextELNTwo decades of running our own lab notebook since 2008, rebuilt on modern AI-native technology. Deep experience plus next-generation tech — that's why it's Next.
- 📦 Data migration & servicesWe bring your existing data in — from other ELNs, spreadsheets, documents, images, and databases — faithfully, backed by two decades building knowledge bases and databases.
- 🛡️ SecurityHow we protect your data — encryption, isolation, access control, and more.
- 🧪 FDA 21 CFR Part 11 & GxP complianceHow NextELN supports electronic records & signatures for FDA-regulated (GxP) labs — and the shared responsibilities involved.
- ✅ Compliance overviewGDPR, CCPA, 21 CFR Part 11, HIPAA, and data residency at a glance.
- 🚀 How to sign up for NextELNCreate your account and your lab's workspace in a couple of minutes.
- 🗄️ Setting up your database & file storageA non-technical, step-by-step walkthrough for creating your database (Neon/Supabase/Aiven) and file storage (Cloudflare R2/S3), then connecting them to NextELN.
- 🔎 AI search & your indexing keyTurn on meaning-based (semantic) search by adding your own OpenAI or Voyage key — you choose the provider.
- 🧬 AI Lab Assistant — mine your dataYour in-app life-sciences assistant answers grounded in your OWN notebook — turning years of lab data into discovery.
- 🧪 Lab Assistant Tools — structure, antibodies & vaccinesComputational wet-lab tools inside your notebook: fold proteins in 3D, design antibody peptides, and draft mRNA vaccine candidates — grounded in the literature.
- 📜 Terms of ServiceThe agreement governing your use of NextELN.
- 🔒 Privacy PolicyWhat data we process and how we protect it.
- 🛡️ Data integrity, backups & liabilityWhere your data lives, how it's kept safe, and the limits of our liability — and why we rely on professional database and storage companies.
- ⚖️ Acceptable Use PolicyWhat you may and may not do with NextELN.
- 🍪 Cookie PolicyThe (minimal) cookies NextELN uses and why.
- 🤖 Managed AI Services AgreementTerms for the optional Managed AI add-on — we run the AI keys and bill your usage monthly.
- 📄 Data Processing Addendum (DPA)Our GDPR Article 28 processor terms — available to sign for customers with a data-processing agreement requirement.
- 🔗 Sub-processorsThe third-party services that help us run NextELN.
- 💵 Pricing & real costsWhat's free, what the trial covers, and the real cost of storage, traffic, and AI after the trial.
- 💬 Support & FAQAnswers to common questions and how to reach us.
Tool Catalog
Every available tool with its maturity status, so you know what is validated versus a research prototype.
Services
Operator-run, GPU-backed and expert services — protein engineering, structure prediction, docking, de-novo design — with pricing and payment info.
- 🔧 Protein Engineering — solubility, expression, stability & functionRescue a difficult protein — poor solubility, no E. coli expression, low stability or activity — with a structure-guided variant campaign spanning rational, semi-rational, and de-novo/AI design.
- 🧊 Protein Structure Prediction (batch)Predicted 3D structures (ESMFold / AlphaFold2) as PDB with per-residue confidence, for one or many sequences.
- 💉 Immunogenicity / Epitope ScanB-cell and T-cell (MHC-I/II) epitope predictions for your HLA alleles, plus antibody-peptide recommendations.
- 🧲 Molecular DockingDock a small-molecule ligand into a receptor; ranked poses with predicted binding affinity (DiffDock / AutoDock Vina).
- 🧩 De Novo Protein / Binder DesignDe-novo backbones/binders with RFdiffusion, sequences with ProteinMPNN, fold validation with ESMFold.
- 🅨 Antibody Structure PredictionPredict an antibody Fv structure from heavy/light chains (IgFold / ABodyBuilder-class) with CDR-loop confidence.
- 🧯 Protein Variant Effect & StabilityScore missense variants for functional effect and fold stability (ΔΔG) with protein-language models.
- 🧷 Bispecific Antibody Design & AssemblyFormat/geometry selection + exact chain-topology assembly (tandem VHH, DART, KiH, CrossMab, DVD-Ig) + interface-aware full-complex structure prediction + developability screen.
- 🧬 Nanobody In-silico Design (GPU workbench)VHH scaffold + antigen/epitope → offline GPU structure, complex, sequence-design, and developability QC.
- 🦠 mRNA Vaccine Candidate DesignViral genome → ranked multi-epitope mRNA vaccine candidates (B-cell + MHC-I/II), assembled + codon-optimized construct.
Research & Technical Notes
Methods, surveys, and architecture white papers. These are analyses, not product claims.
- 🧬 The Enzyme That Wouldn't Fold: A Closed-Loop Computational Protein-Design StoryHow we used AlphaFold, generative sequence design, and a validated in-silico solubility oracle to diagnose why a decade-stubborn enzyme wouldn't express — and to design candidate fixes before a single new clone was made.
- 🧫 De Novo Protein Design: From Physics to Deep Learning — a ReviewA survey of de novo protein design across five eras — physics-based sequence selection, deep-network hallucination, inverse folding (ProteinMPNN), generative diffusion (RFdiffusion/Chroma), and protein language models — built from a 507-paper corpus, with the modern generate→design→validate pipeline and how we implement it.
- 🧬 AI for the Wet Lab: A Toolbox for Protein Structure, Antibody Antigen Design, and mRNA Vaccine DiscoveryA reference-grounded computational toolbox (3D structure, antigenic-peptide finder, mRNA-vaccine designer) built on 542 primary references. Prepared by NextELN Lab Assistant, an Excellgen, Inc. product.
- 🧰 Bioinformatics Tools in the AI Era: A Landscape Survey and Build-vs-Serve FrameworkA survey of 2,485 bioinformatics tool papers across 20 domains, and a framework for which to build in-notebook (CPU) vs offer as GPU services. Prepared by NextELN Lab Assistant, an Excellgen, Inc. product.
- 📄 Bispecific Antibodies from Hybridoma Engineering to AI-Assisted In-silico DesignHistory, therapeutic mechanisms, pre-AI engineering, and modern AI/ML-assisted bispecific antibody design.
- 📄 In-silico Nanobody Design and DevelopmentAlgorithms, evidence, and a reproducible sequence-first VHH design pipeline.
- ⚡ GPU-Powered AI Tools on NextELN: A Self-Hosted Inference Tier for the Wet LabHow NextELN delivers GPU model inference (ESMFold, BepiPred, NetMHCpan) to the bench via the bio-infer service and an operator-brokered service workflow. Prepared by NextELN Lab Assistant, an Excellgen, Inc. product.
Validation Center
Benchmarks, known limitations, and version history for validated tools.