Conferences
Drug Discovery Chemistry 2025
Conference Name: Drug Discovery Chemistry 2025
Time: April 14-17, 2025
Location: Hilton Bayfront, San Diego, California
Axcelead will be attending Drug Discovery Chemistry 2025 at the Hilton Bayfront in San Diego, California. Visit us at Booth #316 to learn how we can empower you at every stage of your chemistry-driven drug discovery.
Our scientist, Jun Chiba, will also be presenting a poster at the conference. We look forward to meeting you there!

Our Full Capabilities in Chemistry
Click here for our chemistry service.
Click here for our covalent drug discovery integrated solutions.

Poster Presentation
Title: Identification of covalent JNK inhibitor
Presenter: Jun Chiba
Date&Time: April 15, Tuesday: 10:00am – 2:00pm, 3:35 – 4:35pm April 16, Wednesday: 9:35 – 10:30am
Poster Number: A02
Abstract:
Covalent drugs like EGFR and BTK inhibitors have gained attention. We focused on c-Jun N-terminal kinase (JNK) and modified our reported JNK inhibitor. The compounds showed time-dependent JNK3 inhibition in presence of dithiothreitol, suggesting covalent binding. We evaluated this through Protein-MS, digested peptide analysis, and X-ray crystallography. This presentation will highlight our capabilities in covalent drug discovery.
Axcelead DDP’s Solutions:
Axcelead provides technologies at every stage of covalent drug discovery, including ligand design, screening, mechanistic understanding, and target protein identification.
Axcelead’s Covalent Drug Discovery Platform integrates specialized capabilities:
- Screening – Enzyme and cell-based assays, compound reactivity and time-dependency analysis, crystal structure analysis, and whole protein MS assays.
- Compound Library – A cysteine-focused covalent library (2,000 compounds), and an HTS library with 500,000 pooled and 200,000 single compounds.
- In Silico Technology – Target protein analysis (LigMap), covalent docking, and fragment-based drug design (FBDD) using MMPBSA and AutoDesign.
- Target Deconvolution – Chemical proteomics, binding protein and site identification, photo-affinity labeling, and fingerprinting for pathway prediction.