Peptide libraries are a fast, flexible tool across proteomics and related fields: drug discovery, receptor ligand screening, protein–protein interaction studies, protein function analysis, nucleic-acid-binding work, enzyme substrate or inhibitor discovery, epitope mapping, messenger-molecule research, and peptide or protein signaling all rely on high-quality peptide sets. Rather than screening one sequence at a time, a defined library lets a project test many related peptides in parallel and read out which positions and residues matter.
We build peptide libraries by chemical synthesis, which gives control over sequence, purity, and modification that biological display cannot. Each library is planned around the question it must answer, then synthesized, quality-checked, and delivered ready to use.
| Design | What it contains | Typical use |
| Overlapping peptide library | Overlapping windows that walk along a protein sequence | Locating the region a binder or activity maps to |
| Alanine-scanning library | Each position replaced singly with alanine | Identifying residues critical to binding or function |
| Positional-scanning library | One position fixed per set across the length | Mapping which residue at each site contributes most |
| Truncation library | Successively shortened forms of a peptide | Finding the minimal active core sequence |
| Random library | Randomized positions across a defined length | Exploring sequence space for activity |
| Mixed library | A combination of the above in one set | Multi-angle mapping and optimization together |
Every peptide is synthesized to a consistent, high-purity standard so that results are not confounded by batch differences, and each peptide is delivered lyophilized in its well or tube to avoid cross-contamination. Mass spectrometry and chromatographic checks are provided for the peptides so the composition and purity of the set are documented on arrival. Because the peptides are supplied ready to use, they can go straight into the next experiment.
A defined, chemically synthesized set answers a structural question cleanly: by holding the framework constant and varying only chosen positions, the library reports which residues drive the behavior of interest. That makes it the standard tool for epitope identification and sequence optimization, where the goal is not merely a positive hit but an understanding of why a peptide works.