X-ray crystallography remains the primary technique for determining protein and macromolecular complex structures at atomic resolution. By diffracting X-rays through protein crystals and analyzing the resulting diffraction patterns, electron density maps are computed from which complete atomic models are built and refined to Ångström-level precision.
ICDMO's crystallography service covers the complete pipeline — from gene-to-crystal protein production, high-throughput crystallization screening with 2,000+ conditions, and synchrotron data collection at Diamond, ESRF, APS, SSRF, and Spring 8, through structure determination, PDB deposition, and biological interpretation — all under one roof.
Our systematic three-phase approach — from initial high-throughput screening to crystal identification — maximizes success even for challenging targets.
Vapor diffusion is the core technique in our crystallization platform, implemented via sitting-drop and hanging-drop methods.
A systematic, quality-controlled pipeline that has delivered 300+ high-resolution structures across all target classes.
The complete X-ray crystallography pipeline — from growing the crystal to depositing refined atomic coordinates in the PDB.
X-ray crystallography routinely achieves 1.0–2.5 Å resolution — sufficient to resolve individual atoms, water molecules, and bound ligand geometry with full precision.
Industry-standard for structure-based drug design: visualize how inhibitors, fragments, and drug candidates bind within the active site at atomic detail.
Established access to major global beamlines (Diamond, ESRF, APS, SSRF, Spring 8) ensures highest-quality diffraction data for even weakly diffracting crystals.
A curated library of solved structures supplies search models for Molecular Replacement phasing, cutting time-to-structure for related targets.
All structures validated against deposition-standard criteria — Rfree, Ramachandran statistics, rotamer outliers and clash scores — and deposited with full structure factor files for open access.
Fragment soaking campaigns against pre-formed crystals: screen 500–1,000 fragments crystallographically to identify novel chemical starting points for lead discovery.
Note: Timelines are estimates for well-behaved samples. Challenging targets or low-symmetry crystal forms may require additional optimization cycles. Contact us for a free feasibility assessment before project initiation.
Share your target details and our crystallographers will assess feasibility and recommend the optimal crystallization strategy within 24 hours.
Contact Us Online ConsultationResolution and data quality set a hard ceiling on interpretation. Weak or ambiguous ligand density is reported as such rather than modelled confidently, since an over-interpreted pose can misdirect a chemistry programme for months. Crystal contacts can influence conformation, and a crystallographic state is not always the solution state. Crystallisation and data collection are performed by your laboratory or a partner facility.
The results below were published by independent groups and are cited to show what these computational approaches have achieved in the literature. They are not ICDMO project results, and outcomes vary substantially between targets, datasets and programmes. We do not promise comparable results for any particular project.
On a held-out protein–ligand benchmark, deep-learning complex prediction placed roughly three quarters of ligands within 2 Å of the crystallographic pose, outperforming established docking programs on the same set. For design programmes this changes what can be attempted before a co-crystal structure exists — while leaving binding-mode certainty, and therefore the most consequential chemistry decisions, dependent on experimental structures.
Abramson et al., Nature, 2024 ↗Published benchmarks on congeneric series report errors near 1 kcal/mol, sufficient to rank analogues that differ by around tenfold in potency. In an integrated design loop this is the calculation reserved for decisions where making the wrong compound costs more than the computation.
Protocol and benchmark studies, Scientific Reports, 2019 ↗