Guides
Current docs for the antibody R&D platform — start with the workspace workflow, then use module tutorials, score/readout guides, and project-specific references.
Featured · 推荐/docs/research-ai-public
Research x AI Workflow
External-facing Research x AI narrative for antibody R&D: public/patent recall, NGS/phage pools, semi-de-novo triage, Interface AI, affinity ranking, evidence packets, CAR-T validation, and wet-lab feedback loops.
public view · updated for the workspace-first platform
Tutorials/docs/tutorials
Current per-feature walkthroughs for the real sidebar: NGS Pool, Sequence Patent Scout, Semi-de-novo, Interface, Runs & Candidates, Affinity, G-protein Design-around, CAR Interface Beta, RFantibody, Fold, Viewer, Compare, Models, and WIP specialized entries.
From scFv to In-vivo CAR-T/docs/scfv-in-vivo-car
Interactive system map: antibody recognition → full CAR → targeted LVV, seven engineering layers, and the three gates of entry, expression, and tumor action. 中文主页面。
Semi-de-novo Walkthrough/docs/semi-de-novo-walkthrough
Real semi-de-novo triage funnel: validate on known positives, then run a 1.2M-clone production pool toward a ~100-clone shortlist with structure-based scoring and honest limits.
Interface Guide/docs/interface-guide
How to read Interface jobs today: complex prediction, contacts, epitope/paratope residues, BSA, pDockQ, affinity lookup, CSV/PDB exports, and when to use Interface Jobs or Compare.
Affinity Metric — Plan & Candidate Models/guides/affinity-plan
Affinity Engine plan and candidate model stack: Boltz-2 head, PRODIGY, AlphaBind, GearBind, DSMBind, mCSM-AB, wet-lab-driven selection rules, and fine-tuning once data lands. Bilingual EN + 中文 interleaved.
RFantibody Walkthrough/docs/rfantibody
How the RFantibody module maps structure-based antibody design onto the platform: target PDB, hotspots, framework choice, RFdiffusion-Ab, ProteinMPNN, RF2-Ab gates, artifacts, history, and GPU runner handoff.
Readout Guide/docs/readout-guide
Operating manual for the scores visible across /interface, /runs-candidates, and related review surfaces: biological meaning, calculation, reliability, ranking usage, and worked examples.
Scoring Audit/docs/scoring-audit
Honest assessment of exposed scoring metrics: what's calibrated, what's heuristic v0, and what should change before a score becomes a hard gate.
Research x AI References/docs/research-ai-references
Focused reference list for the Research x AI story: public data resources, display/NGS, structure/interface models, affinity/RL, CAR-T validation, and G-protein design-around.
Wet-lab Loop/docs/wet-lab-loop
How computational evidence should flow back into wet-lab decisions and how assay results should update the next model or triage round.
Knowledge Map/docs/knowledge-map
Mental model for the platform's current surfaces: format universe, sequence substrate, evidence flow, use-case matrix, and module mapping.
Use Cases/docs/recipes
"I have X. I want Y. What is the path?" Common recipes composed from current platform tools.
References/docs/references
Foundational papers, product-context patents, construct files, and internal sketches that ground the platform's design choices.
Platform Whitepaper/guides/whitepaper
Legacy/background master document for the earlier Praxis six-step narrative. Useful historical context, but not the current operating map.
De Novo Workflow/docs/de-novo-workflow
Legacy/background canonical de novo binder workflow. Keep for context; current tutorials and Research x AI Workflow are the source of truth for daily work.