🧬 How to use PocketXMol

Use PocketXMol | Dock online for pocket-conditioned small-molecule and peptide docking from a receptor structure.

PocketXMol | Dock is the docking-focused entry point into the PocketXMol framework. Instead of exposing the full multiworkflow model surface at once, this service is scoped specifically to placing either a known small molecule or a peptide into a receptor pocket using the same pocket-conditioned three-dimensional interaction model.

On Neurosnap, researchers upload an Input Receptor, choose Dock Target Type, define the pocket with either Pocket Reference Molecule or Pocket Center Override, and then provide either an Input Ligand or peptide docking input. This setup is useful when the structural question is pose generation or pocket-fit inspection rather than open-ended ligand design.

How PocketXMol | Dock Works

PocketXMol operates directly in three-dimensional space and conditions its sampling on the receptor pocket plus any known ligand or peptide context. In the docking-specific workflow, that means the model is not only evaluating a finished pose but actively generating or refining ligand placement in structural context.

On Neurosnap, Dock Target Type switches between small-molecule and peptide docking. Small-molecule jobs use Input Ligand, while peptide jobs can start either from Dock Peptide Structure or from Dock Peptide Sequence. Pocket Radius, Pocket Criterion, Sampling Steps, and related advanced settings influence how broadly the model explores the local pose landscape around the selected binding site.

Researchers should interpret the outputs as docked structural hypotheses rather than as definitive binding truth. PocketXMol | Dock is strongest when used upstream of visual inspection, rescoring, medicinal-chemistry review, peptide optimization, or wet-lab testing.

What is Neurosnap?

Neurosnap is the leading platform for bioinformatics and computational science focused on expanding access to powerful modeling and simulation tools. Because many state-of-the-art machine learning systems remain complex to install, configure, and scale, Neurosnap offers a clean, browser-based workspace that removes the burden of infrastructure management, dependency conflicts, and command-line tooling.

Built for biologists, chemists, and cross-disciplinary scientists, the platform enables advanced computational workflows without requiring expertise in software engineering or cloud architecture. Researchers can launch analyses through an intuitive interface, connect programmatically through a comprehensive API, and rely on automated resource management to scale workloads efficiently. By taking care of the underlying compute and operational complexity, Neurosnap allows teams to devote their energy to scientific progress and faster iteration. Security and data protection remain foundational principles, with clear safeguards outlined in our Terms of Use and Privacy Policy to ensure your work stays protected.

Advancing Discovery with PocketXMol | Dock on Neurosnap

Using PocketXMol | Dock on Neurosnap could drastically accelerate pocket-conditioned docking and structural pose generation for known small molecules or peptides.

Docking-only control surface: The service focuses only on docking inputs, which reduces form complexity relative to a mixed design-and-docking interface.
Pocket-aware setup: Pocket Reference Molecule, Pocket Center Override, and receptor-pocket controls keep the search tied to a biologically meaningful region.
Supports two ligand modalities: The same workflow can dock either a known small molecule or a peptide against the receptor site.
Direct downstream value: Output structures can move immediately into visual review, rescoring, optimization, or experimental prioritization.