Characterize:
Protein Intelligence Engine
Characterize deciphers your protein's function and context—from domains to PTMs (39 types) and binding pockets (2M+ ligands)—so you design smarter, faster experiments. It integrates structure, evolutionary conservation, and functional context to deliver reliable, rich, evidence-backed insights. Understand what your protein does, where it's modified, and what binds to it—before you touch the bench.
Protein function is scattered, noisy, and hard to trust.
Understanding protein function requires piecing together fragments from UniProt, PDB, scattered papers, and experimental data—if it exists. For novel proteins, you're starting with a blank slate. Missed PTM sites lead to failed expression. Unknown binding pockets mean missed drug targets. Incomplete annotations waste weeks on dead-end experiments.
Sparse Annotations
Novel proteins have no UniProt annotations or PDB structures. UniProt lists "uncharacterized protein." You're designing experiments blind—no function, PTMs, or binding site context. Every decision is guesswork.
Scattered Evidence
PTMs in one paper, binding sites in another, domains in a third. Databases scatter evidence across sources. Synthesizing into comprehensive understanding takes weeks of manual work.
Costly Missteps
Mutating a phosphorylation site kills activity. Deleting a binding pocket eliminates function. Adding a tag to membrane topology disrupts trafficking. Each missed critical residue costs 2-4 weeks and €10K-50K.
From Blind Spots to Complete Context with Characterize
Characterize turns your protein sequence into a full functional profile—domains, PTMs (39 types), binding pockets (2M+ ligands), and functional annotations (10 tasks)—so you see every residue in context and make smarter design calls before you touch the bench.
Residue-Level Resolution
Characterize maps PTMs, binding sites, domain boundaries, disordered regions, and conserved residues with residue-level precision. Know which positions are modified, which bind ligands, which are safe to mutate.
Functional Context
Beyond residues, get EC class, GO terms, KEGG pathways, subcellular localization, and cofactor requirements. Place your protein in biological context. Know what it does, where it acts, how it's regulated.
Evidence You Can Trust
Every prediction includes confidence scores and uncertainty flags. High-confidence for reliable predictions for design. Low-confidence binding site for experimental observations. Transparent scoring prevents costly mistakes.
