Reactome
Curated, peer-reviewed pathway database covering signaling, metabolism, transport, and more.
Provides graph-structured pathway priors for hybrid models. Treat as a prior, not as truth.
A starter library. Treat each entry as a prior, not as truth — and add your own URLs as you find better ones.
Curated, peer-reviewed pathway database covering signaling, metabolism, transport, and more.
Provides graph-structured pathway priors for hybrid models. Treat as a prior, not as truth.
Target–disease evidence platform integrating genetics, omics, and literature.
Anchors target choice in real evidence and disease relevance.
Cancer cell line dependency and vulnerability data from CRISPR and RNAi screens.
Large-scale loss-of-function perturbation data across hundreds of cell lines.
Portal for exploring and downloading published single-cell datasets.
Quick access to curated single-cell data without re-downloading raw files.
Reference maps of all human cells across tissues and developmental stages.
A reference for cell identity and tissue context.
Perturbational signatures across cell lines for drugs, gene knockdowns, and overexpression.
Foundational dataset for connectivity-based reversal search.
Repository of experimentally determined biomolecular structures.
The canonical source of real protein structures and ligand complexes.
Predicted protein structures across most known proteins.
Structure coverage for targets without experimental structures.
Morphology-based perturbation profiles across thousands of compounds and gene perturbations.
Image-based phenotypic readout, complementary to transcriptomic perturbation data.
Best-practices tutorials for single-cell analysis (QC, normalization, embedding, DE).
Avoids the common pitfalls before you start modeling.
Foundational textbooks on pathway modeling, networks, and dynamics.
Builds the mechanistic vocabulary you need to read pathway literature.
References on PK/PD, ADMET, dose-response, and toxicity.
Connects molecular potency to in vivo therapeutic feasibility.
A peptide discovery workbench combining condition-first targeting, receptor/pathway mapping, structure-aware design, and Lean 4 mechanism audits before wet-lab handoff.
A working example of the course's thesis: biology as a constrained search problem with formally checked, falsifiable mechanism claims.