Docs tagged “section”
12 Ivy Biosciences docs pages tagged section.
- ADMET overview
Screen absorption, metabolism, clearance and toxicity before committing to synthesis — hERG, DILI and mutagenicity, plus protein solubility from a sequence.
- Cell & Tissue overview
Analysis at the cell and tissue scale: CAR construct design, FlowSOM clustering of cytometry data, IMC segmentation, and whole-slide pathology.
- Cheminformatics overview
Turn SMILES into descriptors with RDKit, standardize structures, and classify or fingerprint reactions before the heavier models run.
- Databases overview
Search ChEMBL bioactivity, PubChem, ZINC, UniProt, PubMed and ClinicalTrials.gov — the fastest first step before you run a model.
- Docking & MD overview
Locate the pocket, generate candidate poses for a small molecule, then rescore them by binding free energy — run as much of the arc as your question needs.
- Generative & De Novo overview
Propose novel small molecules toward a target profile with REINVENT or GenMol, then plan a retrosynthesis route for what you decide to make.
- Genomics & Multi-Omics overview
Cluster and annotate single-cell RNA-seq, find differentially expressed genes, map pathway enrichment, and get from a disease signal to a druggable target.
- Lab Operations overview
Generate Opentrons liquid-handling protocols from a computational result, and transform, aggregate, convert and validate tabular datasets.
- Materials & Crystals overview
Predict crystal polymorphs, search the opXRD database, and refine or simulate powder XRD patterns to tell solid forms apart.
- Predictors overview
Validate computational predictions against experimental results, and fit Bayesian PK/PD, dose-response and hierarchical models with PyMC.
- Structure Prediction overview
Fetch a known structure by UniProt ID or predict one from sequence, read its confidence metrics before you trust it, then protonate it for electrostatics.
- Targets & Modalities overview
Guide RNA design and off-target analysis, PROTAC linker and ternary complex modeling, tumor mutational burden, and genome-scale flux balance analysis.